माधव प्रौद्योगिकी एवं विज्ञान संस्थान, ग्वालियर (म.प्र.), भारत
Madhav Institute of Technology & Science, Gwalior (M.P.), INDIA

Journal Publications

1. R.S. Jadon, Santanu Chaudhury and K.K. Biswas. A Fuzzy Theoretic Approach for Video Segmentation using Syntactic Features, Pattern Recognition Letters, Elsevier Press, Nov-2001, Volume 22(2001), Page: 1359-1369. ISSN: 0167-8655, IF: 1.864, SCI and ACM indexed.
2. R.S. Jadon, K.K. Biswas, Shantanu Chaudhury and Asma Shakil. Semantic Categorization of Video: An Evolutionary Learning Based Approach, IETE Journal of Research India, Special Issue on Visual Media Processing, Volume 48, Nos 3 & 4, May-Aug 2002, Page: 253-259. IF: 0.076, ISSN: 0377-2063. IF 0.829, SCI and SCOPUS Indexed
3. Sushma Jaiswal, Sarita Singh Bhadoria and R.S. Jadon. Automatic 3D Face Model from 2D Image-Through Projection, ANSI Information Technology Journal 6(7), 2007 Page 1075-1079. eISSN: 1812-5646, pISSN: 1812-5638.
4. Sushma Jaiswal, Sarita Singh Bhadoria and R.S. Jadon. Creation 3D Animatable Face Methodology Using Conic Section Algorithm, ANSI Information Technology Journal 7(2), 2008 Page 292-298. eISSN: 1812-5646, pISSN: 1812-5638.
5. Sanjay Jain and R.S. Jadon, “Audio Based Movies Characterization using Neural Network”, published in International Journal of Computer Science and Applications(IJCSA ISSN 0974-1003), Vol 1 No.2, PP 87-91, Aug, 2008. SCOPUS indexed.
6. R.S.Jadon, “Audio-Visual Contents Based Movies Characterization”  published in International Journal of Computer Science and Information Technology(IJCSIT ISSN 0974-8385) through Serials Publications, Vol 1 No.2, PP 93-99, July- Dec, 2008.
7. G.R.S. Murthy and R.S. Jadon, “A Review of Vision Based Hand Gesture Recognition”  published in International Journal of Information Technology and Knowledge Management”, Vol 2 No.2, PP 405-410, July-Dec 2009. ISSN: 1973-4414.
8. G.R.S. Murthy and R.S. Jadon, “Effectiveness of Eigenspaces for Facial Expression Recognition” published in International Journal of Computer Theory and Engineering, Vol. 1, No. 5, Dec, 2009. ISSN: 1793-821X
9. S. Tapaswi, R.S. Jadon, P. Sharma, “Dynamic Spectrum Allocation Technique with Reduced Noise in Cognitive Radio Networks”, published in International Journal of Computer Science and Network Security, Vol. 10, No 1, PP 274-280.  January 2010. ISSN: 1738-7906.
10.  Sunil Joshi, R.S. Jadon and R.C. Jain. An Implementation of Frequent Pattern Mining Algorithm using Dynamic Function, Published in IJCA International Journal of Computer Applications, Vol. 9, Issue 9, PP 37-41, Nov 2010.[impact factor: 0.835], ISSN: 0975-8887
11. S. Tapaswi, R.S. Jadon, P. Sharma. History Based Dynamic Spectrum Allocation Technique with Noise Abridged in Cognitive Radio Networks. Published in International Journal of Advanced Engineering Technology (IJAET), Vol I, Issue III, PP. 175-184 Oct-Dec 2010.
12. Anamika Ahirwar, R.S. Jadon. Characterization of Tumor Region using SOM and Neuro Fuzzy Techniques in Digital Mammography, Published in International Journal of Computer Science & Information Technology (IJCSIT) , Vol 3, No 1, PP 199-211 Feb 2011.
13. Anamika Ahirwar, R.S. Jadon. Evaluation and Comparison of Features of Brain MRI, Published in International Journal of Computer Engineering (IJCE), Vol 3, No 3, PP 11-22. Jan-June 2011.
14. Sunil Joshi, R.S. Jadon and R.C. Jain. A framework for Frequent Pattern Mining Using Dynamic Function, Published in IJCSI International Journal of Computer Science Issues, Vol. 8, Issue 3, No. 1,  PP 141-147, May 2011.
15.  G.R.S. Murthy and R.S. Jadon. Computer Vision Based Human Computer Interaction. published in Journal of Artificial Intelligence, Vol 4, No 4, Asian Network for Scientific Information, PP 245-256, ISSN 1994-5450,  2011.
16.  Sunil Joshi, R.S. Jadon and R.C. Jain. Sequential Pattern Mining Using Formal Language Tools, Published in IJCSI International Journal of Computer Science Issues, Vol. 9, Issue 5, No. 2,  PP 316-325, Sep 2012.(ISSN: 1694-0814).
17. Raginee Tripathi and R.S. Jadon. 3D Reconstruction from Multiple Images Using Inverse-Mapping IDVR, Published in International Journal of Scientific and Research Publications, Volume 2, Issue 3, March 2012, PP 1-3, ISSN 2250-3153.
18. Raginee Tripathi and R.S. Jadon. 3D View Reconstruction Using Rotational Camera at Fixed Position, Published in International Journal of Multidisciplinary Research & Advances in Engg.(IJMRAE), Vol 4, NoIV, Oct 2012, PP 285-293, ISSN 0975-7074.
19. Mahendra Pratap Singh, R.S. Jadon and Devendra Kumar. An Innovative Approach to Web Optimization Based on User Profile for Online Searching, Published in International Journal of Modern Engineering Research(IJMER), Vol 6, Issue 10, Oct 2016, Page: 43-52.  ISSN: 2249-6645.
20. Sandeep Rathor & R. S. Jadon, “Speech Recognition Using Soft Computing- A Review”, International Journal of Software Engineering & Systems, Volume-4, Issue-2, 2016, pp. 35-46, ISSN No.-2321-8711.

21. Sandeep Rathor and R. S. Jadon. "Acoustic domain classification and recognition through ensemble based multilevel classification." Journal of Ambient Intelligence and Humanized Computing, Springer, Vol 10, Issue 9, pp 3617-3627, 2019. [SCI, impact factor 1.912]. ISSN: 1868-5145.

22. Sandeep Rathor and R.S. Jadon, “The Art of Domain Classification and Recognition for Text Conversation using Support Vector Classifier”, International Journal of Arts and Technology, Inderscience (Elsevier), vol. 11, No. 3, pp.309-324. [Scopus & ESCI Indexed Journal], ISSN: 1754-8861.

23. Sandeep Rathor and R. S. Jadon, “Speech Recognition Using Soft Computing- A Review”, International Journal of Software Engineering & Systems, Volume-4, Issue-2, 2016, pp. 35-46. [UGC Approved Journal], ISSN no: 2321-8711.

24. Sandeep Rathor and S. Jadon, “Novel Approach for Domain Recognition of Professional Speech Conversation using Gaussian Naïve Bayes and KNN Classifier”, Invertis Journal of Science & Technology, Vol. 11, No. 2, 2018 : pp. 62-67.[UGC Approved Journal]. ISSN no: 0973-8940.

25. Sandeep Rathor and R. S. Jadon, “Sentiments and Domain Analysis of Text Sentences Using POS Tagging & Machine Learning Approach”, International Journal of Computer Sciences and Engineering, Vol. 6, issue 6, pp. 1362-1365, Jun- 2018. .[UGC Approved Journal], ISSN no: 2347-2693. UGC No: 63193.

26. Sandeep Rathor and R. S. Jadon, “Sentiments and Domain Analysis of Text Sentences Using POS Tagging & Machine Learning Approach”, International Journal of Computer Sciences and Engineering, Vol. 6, issue 6, pp. 1362-1365, Jun- 2018. .[UGC Approved Journal], ISSN no: 2347-2693. UGC No: 63193.

27. Goyal, A. Upadhaya and R.S. Jadon, “Facial Expression Recognition through hand gesture and its position surrounding the face”. International Journal of Engineering and Advanced Technology, Vol. 8, No. 3, pp. 441-444, 2019, ISSN No: 2249-8958.

28. Goyal, A. Upadhaya and R.S. Jadon, “Hand Gesture Object Recognition Based on the Combination of Fuzzy Reasoning Method, Back Propagation Algorithm and Mamdani Classification Approach”, International Journal of  Innovative Technology and Exploring Engineering, Vol. 8, No. 5, pp. 505-509, 2019, ISSN No: 2278-3075.

29. Goyal, A. Upadhaya and R.S. Jadon, “Novel Approach in Image Processing to Recognize Facial Expressions”, International Journal of Recent Technology and Engineering, Vol. 7, No. 6, pp. 1142-1143, 2019, ISSN No: 2277-3878.

30. Dhingra, S. Jain, R.S. Jadon, “Malicious Intrusion Detection using machine learning schemes”, International Journal of Engineering and Advanced Technology, Vol. 8, No. 6, pp. 4194-4198, Aug. 2019, ISSN No: 2249-8958.

31. Dhingra, S. Jain, R.S. Jadon, “Malicious Intrusion Detection using machine learning schemes”, International Journal of Engineering and Advanced Technology, Vol. 8, No. 6, pp. 4194-4198, Aug. 2019, ISSN No: 2249-8958.

32. Sandeep Rathor and R. S. Jadon Shashank Mittal, “Probability Based Emotion Recognition Using Machine Learning Based Approach”, International Journal Scientific & Technology Research, Volume 9, No. 1, January 2020, pp: 3618-3621, ISSN 2277-6616.

33. Parul Saxena, R.S. Jadon, “Characterizing Anomalous Behaviour of Moving Objects using Optical Flow Feature Extraction in Crowded Environment”, International Journal of Engineering and Technology(IJET), Vol(12), No. 2, April 2020.[Scopus]
34. Parul Saxena, R.S. Jadon, “An Effective Approach for Forest Fire Detection In Surveillance Video Using Rule-Based and Temporal Variations”, International Jpurnal of Scientific and Technology Research(IJSTR), Vol.(8), No 9, Sep 2019.[Scopus]
35. Parul Saxena, R.S. Jadon, “Video Surveillance Based on SURF Extraction Uing Hybrid BPNN”, International Journal of Research in Electronics and Computer Engineering (IJRECE), Vol. 6, Issue 3, 814-826, July-sept 2018. [UGC Approved].
36. Parul Saxena, R.S. Jadon, “A Survey of Video Object Abstraction Technique”, International Journal of Latest Trends in Engineering and Technology, Vol 8, no 4-1, pp 210-214, Aug 2017.
37. Nitin Paharia, Rakesh S. Jadon, Sanjay Kumar Gupta,,Optimization of convolutional neural network hyperparameters using improved competitive gray wolf optimizer for recognition of static signs of Indian Sign Language, J. Electron. Imaging 32(2), 023042 (2023), doi: 10.1117/1.JEI.32.2.023042.( Scopus and SCIE)

1. Nitin Paharia, Rakesh S. Jadon, Sanjay K. Gupta, "Feature selection using improved multi objective and opposition-based competitive binary gray wolf optimizer for facial expression recognition," J. Electron. Imaging 31(3), 033039 (2022), doi: 10.1117/1.JEI.31.3.033039.(Scopus and SCIE)

39. Paharia, N., Gupta, R., Jadon, R.S. and Gupta, S.K. (2021) ‘Recognition of ‘yoga-asana’ using bidirectional LSTM with CNN features’, Int. J. Arts and Technology, Vol. 13, No. 3, pp.215–227. (Scopus)
40. Amita Sharma, R.S. Jadon, “Characterization of Indian Visual Arts Architecture Ages and Sub-Ages using ML and Fuzzy-ML Algorithms”, Multimedia Tools and Applications(2023), 82 pp.15493-15513

Books and Book Chapters

1. Edited a Chapter of the Book “Soft Computing Approach to Pattern Recognition and Image Processing”, By Asish Ghosh and Sankar K. Pal Published by World Scientific Publishing Company Pvt. Ltd., ISBN 981-238-251-8, Chapter 10 “Soft Computing for Computational Media Aesthetics: Analyzing Video Content for Meaning” by R.S. Jadon, Santanu Chaudhury and K.K. Biswas.

2. R. S. Jadon, P.K. Singhal, Prabhakar Sharma, Edited the Proceedings of Conference on Trends and Techniques in Information Technology, Jointly organized by IETE and CSI Gwalior on 3-5 march 2001 at DRDE Gwalior.
3. R. S. Jadon, Rajeev Saxena. Edited the Proceedings of Conference on Services through I.T. Enabled Systems, Jointly organized by IETE and CSI Gwalior on 19-20^th April 2003 at DRDE Gwalior.
4. R. S. Jadon, C. Muruganatham, P.J. Narayanan and Sarat Chandran. Edited the Proceedings of National Workshop on Computer Vision, Graphics and Image Processing, jointly organized by IUPRAI, ISI Kolkata and M.I.T.S. Gwalior on 21-22^nd Feb-2004 at MITS Gwalior.

Conference Publications

1. R. S. Jadon, Ankush Mittal, K.K. Biswas and Santanu Chaudhury. Automatic Segmentation and Classification of News Video Using Domain Knowledge, In Proceedings of the International Conference On Multimedia, New Delhi, India January 23-25, 1998, Page 42-54.
2. R. S. Jadon, Santanu Chaudhury and K.K. Biswas. Video Segmentation Using Fuzzy Logic, In Proceedings of Indian Conference on Computer Vision, Graphics and Image Processing (ICVGIP’98), Indian Institute of Technology, Delhi, India, 21-23 Dec. 1998, Page 364-370.
3. R.S. Jadon, Pranav Bhusan and Santanu Chaudhury. Mosaic Based Characterization of Video Sequences Using Fuzzy Inferencing, In Proceedings of International Conference on Multimedia Processing and Systems(ICMPS-2000), Aug. 13-15, 2000, IIT Madras, Chenni, Page: 99-102.
4. R. S. Jadon and Prabhakar Sharma. Multimedia Databases: Issues and Techniques, In Proceedings of Conf. on Intelligent Systems (IS-2000) Organized by IETE and CSI Gwalior at D.R.D.E. Gwalior, India, Page: 120-132.
5. R. S. Jadon and Prabhakar Sharma. Parallelism in Software Testing: An Intelligent Dynamic Analysis Case Tool, In Proceedings of Conf. on Intelligent Systems (IS-2000) Organized by IETE and CSI Gwalior at D.R.D.E. Gwalior, India, Page: 153-161.
6. R.S. Jadon, S. Chaudhury, K.K. Biswas and A. Shakil. A Fuzzy Theoretic Approach for Semantic Characterization of Video Sequences, Proceedings of Indian Conference on Computer Vision, Graphics and Image Processing (ICVGIP'2000), Dec 20-22, 2000, CAIR Banglore, India, Page: 73-78.
7. R.S. Jadon and Pragya Tiwari. Content Based Image Retrieval on Internet, Proc. of National Conference on Trends and Techniques in Information Technology, Jointly organized by IETE and CSI Gwalior on 3-5 march 2001 at DRDE Gwalior.
8. S. Jadon, Santanu Chaudhury and K.K. Biswas. A Fuzzy Theoretic Approach for Camera Motion Detection, Proc. Of 9^th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU2002), Special Session on Data Mining and Multimedia Systems, 1-5 July 2002, Annecy, France, Page: 985-992.
9. R.S. Jadon, Santanu Chaudhury and K.K. Biswas, “Generic Video Classification: An Evolutionary Learning Based Fuzzy Theoretic Approach”, In Proceedings of Indian Conference on Computer Vision, Graphics and Image Processing 2002 (ICVGIP 2002), Space Application Centre, Ahmedabad, Indian, Dec. 16-18, Page: 43-48.
10. R.S. Jadon. An Evolutionary Learning Based Fuzzy Theoretic Approach for Characterizing Video Sequences, Ph.D. Thesis Submitted at Department of Computer Science and Engineering, IIT, Delhi, July 2002.
11. R.S. Jadon and Sanjay Jain. Video On Demand: An Overview, Proceedings National Workshop on IT Services and Applications (WITSA2003), Feb. 27-28, 2003, at Jamia Milia Univ., New Delhi, India, Page: 1-7.
12. R.S. Jadon, Sanjay Jain and D.V.S. Kapil. Video Compression Standards: A Review, Proceedings of Conference on Services Through I.T. Enabled Systems, Jointly organized by I.E.T.E. Gwalior and CSI Gwalior On 19-20^th April 2003 at DRDE Gwalior, Pages: 65-70.
13. R.S. Jadon, Santanu Chaudhury and K.K. Biswas. Sports Video Characterization Using Scene Dynamics, In Proceedings of Indian Conference on Computer Vision, Graphics and Image Processing-2004 (ICVGIP 2004), organized at ISI Kolkata, India, 16-18 Dec.-2004.
14. R.Sanjay Jain, R.S. Jadon. Features Extraction for Movie Genres Characterization, In Proceedings of Indian Workshop on Computer Vision, Graphics and Image Processing-2006 (WCVGIP), January 12-13 2006.
15. R.S. Jadon, Anshu Chaturvedi and Anamika Ahirwar. Multimedia Data Mining: A Review, In Proceedings of AICTE Sponsored National Conference on Advances in Electrical Engineering 2006, MITS Gwalior, Nov 29-30, 2006, Pages 199-204.
16. G.R.S. Murthy and R.S. Jadon. Recognizing Facial Expressions Using Eigenspaces, Proc. Of IEEE International Conference on Computational Intelligence and Multimedia Applications, 2007, ICCIMA 200715-15 Dec. 2007 , Shivkasi Tamilnadu, India, Vol.III, Page 201-207.
17. Shashi Kumar Singh, Vibhash Singh Sisodia, Rakesh Singh Jadon and Lalit Kumar Tyagi. Filtiring Scheme of CT Scan and MRI Images for Tumer Characterization/Classification, Proc. Of IEEE International Advance Computing Conference(IACC 2009), Patiala India, 6-7 March 2009. Pages 1455-1460.
18. Sanjay K. Jain and R.S. Jadon. Movie Genres Classifiers Using Neural Networks”, Proc. Of 24th IEEE International Symposium on Computer and Information Sciences (ISCIS2009) 14-16 2009, Organized by Middle East Technical University, North Cyprus Campus, Page 610-615.
19. Anamika Ahirwar and R.S. Jadon. Characterization and Segmentation of Brain MRI Using SOM and Fuzzy C-Means, Proc. Of National Conference on Emerging Technologies and Trends, 2010, Organized by VNS Institute of Technology, Bhopal, March 19-20 2010, Page 137-140.
20. R.S. Jadon and Sanjay Jain. Intelligent Schemes for Indexing Digital Movies. Proc. Of Third International Conference on Contemporary Computing, IC3 2010, Published by Springer. 09-11 Aug 2010, Organized by JPIT Noida, Page 518-529.
21. Anamika Ahirwar and R.S. Jadon. Effectiveness of Soft Computing Techniques in Medical Imaging, Proc. Of IEEE International Conference on Communication Systems and Network Technologies (CSNT 2013), Organized by VNS GLA Institute of Technology, Mathura, Nov 26-28 2013.
22. Goyal S.J., Upadhyay A.K., Jadon R.S., Goyal R. (2018) Real-Life Facial Expression Recognition Systems: A Review. In: Satapathy S., Bhateja V., Das S. (eds) Smart Computing and Informatics. Smart Innovation, Systems and Technologies, vol 77. Springer, Singapore. Page 311-331, 2018.
23. Rathor & R. S. Jadon, "Text independent speaker recognition using wavelet cepstral coefficient and butter worth filter",  In Proceedings of the 8th IEEE International Conference on Computer, Communication and Network Technology (ICCCNT)-2017, Vol. 0, pp. 1-5, 2017, doi:10.1109/ICCCNT.2017.8204079 at IIT Delhi.
24. SandeepRathor & R. S. Jadon, “Novel Approach for Domain Recognition of Professional Speech Conversation using Gaussian Naïve Bayes and KNN Classifier”, International Conference on Technology for Education, Trainning and Business (ICTETB 2018)  at Noida international university, Greater Noida,   1-5. April 05-06,2018.
25. SandeepRathor & R. S. Jadon, “Domain Classification of Textual Conversation Using Machine Learning Approach” In Proceedings of the 9th IEEE International Conference on Computer, Communication and Network Technology (ICCCNT)-2018, at IISc Bangaluru, July 10-12, 2018.
26. Sandeep Rathor and S. Jadon, “Speech Recognition and System Controlling using Hindi Language”, In Proceedings of the 10^th IEEE International Conference on Computer, Communication and Network Technology (ICCCNT)-2019, at IIT Kanpur, Accepted for Publication. [Scopus Indexed Conference].
27. Parul Saxena, R.S. Jadon, “Survey on Semantic Video Interpretation Using Machine Learning Technology”, National Conference on Recent Trends in Microwave Engineering, Oct 2016

International Journals

Year 2023:

1. Anand Jawdekar, and Manish Dixit. "Deep Learning and Fuzzy Logic Based Intelligent Technique for the Image Enhancement and Edge Detection Framework." Traitement du Signal Vol. 40, Issue no. 1 (2023), pp 351-359 DOI: https://doi.org/10.18280/ts.400135 (SCIE)
2. Mona Pandey and Manish Dixit, “Classification of Physical Activities: Performance Evaluation of Machine Learning Models” International Journal of Novel Research and Development ISSN:2456-4184, Vol.8, Issue 6, page no.a569-a577, June-2023, Available :http://www.ijnrd.org/papers/IJNRD2306065.pdf 
3. Dhruti Bhadoria, Manish Dixit, "Drone Surveillance using YOLOv8 Object Detection", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 5, page no.i218-i223, May-2023, Available : http://www.ijnrd.org/papers/IJNRD2305829.pdf

Year 2022:

2. Devanshu Tiwari and Manish Dixit, Kamlesh Gupta, “Breast cancer-caps: a breast cancer screening system based on capsule network utilizing the multiview breast thermal infrared images”, Turkish Journal of Electrical Engineering and Computer Sciences 30, no. 5 (2022): 1804-1820. DOI: 55730/1300-0632.3906 (SCIE)
3. Priyanka Gupta and Manish Dixit, “Image based Crack Detection Approaches: A comprehensive Survey” Multimedia Tools and Applications 2022 Nov;81(28):40181-229. DOI: https://doi.org/10.1007/s11042-022-13152-z (SCIE)
4. Shradha Dubey and Manish Dixit, “A comprehensive survey on human pose estimation approaches.” Multimedia Systems. 2023 Feb;29(1):167-95. DOI: https://doi.org/10.1007/s00530-022-00980-0 (SCIE)
5. Sanjay Patsariya and Manish Dixit, “A new block based non-blind hybrid color image watermarking approach using lifting scheme and chaotic encryption based on Arnold cat map” Traitment du Signal 2022 Aug 1;39(4) Vol. 39 Issue 4, p1159-1168. DOI: https://doi.org/10.18280/ts.390408 (SCIE)
6. Ruchi Jayaswal and Manish Dixit, "AI-based face mask detection system: a straightforward proposition to fight with Covid-19 situation." Multimedia Tools and Applications 2022 Sep 8:1-33. DOI: https://doi.org/10.1007/s11042-022-13697-z  (SCIE)
7. Shradha Dubey and Manish Dixit. “Recent developments on computer aided systems for diagnosis of diabetic retinopathy: a review.” Multimedia Tools and Applications. 2022 Sep 24: 1-55. DOI: 1007/s11042-022-13841-9 (SCIE)
8. Ruchi Jayaswal and Manish Dixit, “A face mask detection system: An approach to fight with COVID‐19 scenario.” Concurrency and Computation: Practice and Experience 34. 2022 Dec 25;34(28): e7394. DOI: https://doi.org/10.1002/cpe.7394 (SCIE)
9. Sanjay Patsariya and Manish Dixit, “Entropy based secure and robust image watermarking using lifting wavelet transform and multilevel multiple image scrambling technique” Traitment du Signal (2022) DOI: https://doi.org/10.18280/ts.390533 (SCIE)

Year 2021:

10. Ruchi Jayaswal, Manish Dixit, “Detection of Hidden Facial Surface Masking in Stored and Real Time Captured Images: A Deep Learning Perspective in Covid Time”, IIETA- Traitement du Signal, Vol. 38, No.6, December 2021, pp. 1875-1885 DOI: https://doi.org/10.18280/ts.380632 (SCIE)
11. Devanshu Tiwari, Manish Dixit, Kamlesh Gupta, “Deep Multiview Breast Cancer Detection: A Multi-View Concatenated Infrared Thermal Images Based Breast Cancer Detection System Using Deep Transfer Learning”, IIETA- Traitement du Signal, Vol. 38, No. 6, December 2021, pp.1699 DOI: https://doi.org/10.18280/ts.380613(SCIE)
12. Hakan Koyuncu, Manish Dixit, Baki Koyuncu, “An Analysis of Content-Based Image Retrieval”, International Advanced Researches and Engineering Journal, Vol.05, Issue 01, April 2021, pp 123-141, DOI:35860/iarej.811927
13. Ruchi Jayaswal, Manish Dixit, “A Framework for Anomaly Classification using Deep Transfer Learning Approach”, Revenue d artificille International Information and Engineering Technology Association, Vol.35, June 2021, pp 255-263, DOI: https://doi.org/10.18280/ria.350309 (SCOPUS)

Year 2019:

14. Shradha Dubey, Manish Dixit, “Facial Expression Recognition using Deep Convolutional Neural Network”, International Journal Communication System and Network Technology, Vol.8, No.1, 2019 DOI-10.18486/ijcsnt.2019.8.1.01, Page No. 1-10.
15. Bulbul Agrawal, Manish Dixit, “An Explanatory Review of various Image Enhancement Techniques” International Journal of Computer Science and Network (IJCSN), 9, No.1, Feb 2019 DOI-10.18486/ijcsn.2019.9.1.02.

Year 2018:

16. Juhi Punhani, Manish Dixit, “Content based image retrieval using colour texture and shape:A Review”, International Journal of Computer Science and Network (IJCSN), Vol.7, No.2, 2018.
17. Deepika Bahal, Manish Dixit, “Reversible Data Hiding Practices: An Exhaustive Study”, International Journal of Communication System and Network Technology (IJCSNT), Vol.7, No.1, 2018.
18. Mayank Kulsheshtra, Manish Dixit, “Research & Development in Image Steganography: A Review”, International Journal of Communication System and Network Technology (IJCSNT), Vol.7, No.2, 2018.
19. Deepika Tomar, Manish Dixit, “Detection of mage Tampering: An Exhaustive Survey”, Journal of Open-Source Developments ISSN: 2395-6704(Online) Volume 5, Issue 3.
20. Deepika Tomar, Manish Dixit, “Improved Approaches of Image Frogery Detection using SURF and 4-level DWT”, International Journal of Image Processing and Pattern Recognition, eISSN :2456-6985, Vol.4:Issue2.
21. Devanshu Tiwari, Manish Dixit, Kamlesh Gupta, “The Breast Cancer Detection Approaches: A Review”, International Journal of Computer Science and Network (IJCSN), Vol.8 , No.1, 2018.

Year 2017:

22. Kunal Gupta, Rajni Ranjan Singh, Manish Dixit, “Cross Site Scripting (XSS) Attack Detection using Intrusion Detection System”, International Conference on Intelligent Computing and Control System (ICCS), 15-16 June 2017, ISBN: 978-1-5386-2745-7, IEEE 2017.
23. Arpit Kushwah, Manish Dixit, “A Review: An Optimized Technique for Image Segmentation”, International Journal of Advanced Research in Computer Science (IJARCS), Volume 3, Number 4, ISSN: 0976-5697, May-June 2017.
24. Aquib Ansari, Manish Dixit, “An Image Retrieval Framework: A Review”, International Journal of Advanced Research in Computer Science (IJARCS), Volume 3, Number 4, pp. 692-699, ISSN: 0976-5697, May-June 2017.
25. Aquib Ansari, Manish Dixit, Diksha Kurchania, Punit Kumar Johari “An Effective Approach to an Image Retrieval using SVM Classifier” International Journal of Computer Science and Engineering, Vol. 5, Issue 6, pp. 62-72, E-ISSN:2347-2693, 2017.
26. Sunil Kumar Yadav, Manish Dixit, “Survey on Image Watermarking on Different Methods with its Application”, International Journal for Science and Research in Technology (IJSART), Vol. 3, Issue 6, ISSN: 2395-1052, June 2017.
27. Sunil Kumar Yadav, Manish Dixit, “A Comparative Study for Image Steganography using Transform Domain Method”, International Journal of Computer Science and Engineering, Vol. 5, Issue 6, pp. 24-28, E-ISSN: 2347-2693, 2017.
28. Sunil Kumar Yadav, Manish Dixit, “Survey on Image Encryption Steganography With its Techniques”, International Journal for Science and Research in Technology (IJSART), Vol. 3, Issue 7, ISSN: 2395-1052, June 2017.
29. Ruchi Jayaswal, Jaimala Jha, Manish Dixit, “Mining of Images by K-Medoid Clustering Using Content Based Descriptor”, International Journal of Signal Processing, Image Processing and Pattern Recognition.
30. Shivangi Seth, Rajni Ranjan Singh Makwana, Manish Dixit, “Hybridized combinational feature selection framework for network intrusion detection system (HCFSF)”, International Journal of Computer Science and Engineering (IJCSE).
31. Abhay Verma, Manish Dixit, “An exposure based technique with DWT to enhance the image” International journal of engineering research in computer science and Engineering (IJERCSE), Vol 4, Issue 8, August 2017.
32. Abhay Verma, Manish Dixit, “An optimized Technique for Image Enhancement: A Review”, International Journal for Science and Research in Technology (IJSART), Vol. 3, Issue 9, ISSN : 2395-1052.

Year 2016:

33. Nikita Upadhyaya, Manish Dixit, “A Review: Relating Low Level Features to High Level Semantics in CBIR” International Journal of Signal Processing, Image Processing and Pattern Recognition Vol.9, No.3 (2016), pp.433-444 http://dx.doi.org/10.14257/ijsip.2016.9.3.37.
34. Nikita Upadhyaya, Manish Dixit, “An Insight to Various CBIR Techniques: A Survey” International Journal of Advanced Research in Computer Science and Software Engineering, Vol. 6, Issue 5, May2016, ISSN: 2277128x, pp. 14-22.
35. Nikita Upadhyaya, Manish Dixit, “A Novel Approach for CBIR Using Color Strings with Multi-Fusion Feature Method”, CiiT International journal of Digital Image Processing, Vol 8, No. 05, May 2016, pp-137-145, 0974-9691/CIIT-IJ-6586.
36. Naveen Kumar Ahirwar, Manish Dixit, “Face and Eye Recognition on Gray Image using DWT with RBFSVM Method”, International Journal of Signal Processing, Image Processing and Pattern Recognition Vol.9, No.6 (2016), pp.369-378.
37. Naveen Kumar Ahirwar, Manish Dixit, “A Review on Face Part Detection and Eye Recognization”, IJSART – VOL UME 2 ISSUE 4 – APRIL 2016/ ISSN [ONLINE] : 2395-1052, PP-327-332.
38. Sakshi Sharma, Manish Dixit, “A Review on Network Intrusion Detection System Using Open Source Snort”, International Journal of Database Theory and Application, Vol. 9, No. 4 (2016), pp. 61-70, http://dx.doi.org/10.14257/ijdta, 2016, 9, 4, 05.
39. Sapna Arya, Manish Dixit, “A New Approach for Graph Coloring”, International Journal of All Research Education and Scientific Nethods (IJARESM) ISSN: 2455-6211, Volume 4, Issue 6, June – 2016, pp- 21-29.
40. Neha Bharadwaj, Manish Dixit, “Facial expression recognition using PCA-RBFNN method and local feature extraction”, International journal for scientific research and development, Vol. 3, issue 11, 2016, ISSN (online): 2321-0613.
41. Neha Bharadwaj, Manish Dixit, “A review: Facial expression detection with its techniques and application”, IJCSNT, VOL.5, NO.1, 2016, ISSN 2053-628
42. Nikita Singhal, Manish Dixit, “Underwater image enhancement and edge preserving using GA”, International journal for scientific research and development, vol. 4, issue 05,2016, ISSN (online):2321-0613.
43. Nikita Singhal, Manish Dixit, “Grayscale image enhancement analysis with its classification technique”, International journal of emerging technologies in engineering research, VOL. 4, ISSUE 7, July 2016, ISSN NO. 2454-6410.
44. Garima Gupta, Manish Dixit, “An Overview of Relevance Feedback Methods Implemented In Content Based Image Retrieval”, International Journal of Enginering And Innovative Technology (IJEIT), Vol. 5, Issue 11, May 2016, ISSN No.: 2277-3754.

45. Garima Gupta, Manish Dixit, “CBIR on Biometric Image Applications using Hough Transform with DCD, DWT Features and SVM Classification”, International Journal Of Enginering And Innovative Technology (IJEIT), VOL.5, 2016

Year 2015:

46. Mahendra PS Kuber, Manish Dixit, Sanjay Silakari, “Improving brightness using Dynamic Fuzzy Histogram Equalization”, International Journal of Signal Processing, Image Processing and Pattern Recognition Vol. 8, No. 2 (2015), pp. 303-312 http://dx.doi.org/10.14257/ijsip.2015.8.2.29.
47. Manish Dixit, Sanjay Salakari, “Face Recognition Using Approximated Bezier Curve and Supervised Learning Approach”, International Journal of Multimedia and Ubiquitous Engineering Vol.10, No.4 (Apr 2015), pp.311-324 http://dx.doi.org/10.14257/ijmue.2015.10.4.29.
48. Manish Dixit, Sanjay Salakari, Nikita Upadhayay, “Nature Inspired Optimization Algorithms: An Insight to Image Processing Applications”, International Journal of Emerging Research in Management &Technology ISSN: 2278-9359 (Volume-4, Issue-5)pp 293-304.
49. Manish Dixit, Sanjay Salakari, Nikita Upadhayay, “An Exhaustive Survey on Naure Inspired Optimization Algorithms”, International Journal of Software Engineering and Its Applications Vol. 9, No. 4 (2015), pp. 91-104 http://dx.doi.org/10.14257/ijseia.2015.9.4.11
50. Vivek kumar, Neha Tripathi, Manish Dixit, “Weight based Cooperation Routing for Reliability and Cost Optimization in MANET”, International Journal of Urban Design for Ubiquitous Computing Vol.3, No.1 (2015), pp.7-16 http://dx.doi.org/10.14257/ijuduc.2015.3.1.02
51. Manish Dixit, Sanjay Salakari, “Utility of Parametric Curves in Image Processing Applications”, International Journal of Signal Processing, Image Processing and Pattern Recognition Vol.8, No.7 (2015), pp.317-326 http://dx.doi.org/10.14257/ijsip.2015.8.7.31
52. Ravindra Pal Singh, Manish Dixit, “A Novel Approach for Image Enhancement Using PSO”, Global Journal Of Engineering Science And Researches, ISSN 2348 – 8034 Impact Factor- 3.155, vol2(issue 6): June 2015.
53. Mahendra PS Kuber, Manish Dixit, “Image Enhancement Using Dynamic Fuzzy Histogram Equalization Using Gaussian Membership Function” IJCSN Vol.5, No.1, 2015 ISSN 2234-8018.
54. Ravindra Pal Singh, Manish Dixit, “Histogram Equalization: A Strong Technique for Image Enhancement”, International Journal of Signal Processing, Image Processing and Pattern Recognition Vol.8, No.8 (2015), pp.345-352 http://dx.doi.org/10.14257/ijsip.2015.8.8.35.
55. Amit Singh Chauhan, Manish Dixit, Sanjay Salakari, “Automation of Segmentation of MRI Images in the Presence of Intensity Inhomogeneity by the Application of Probabilistic Neural Network”, International Journal of Bio-Science and Bio-Technology Vol.7, No.4 (sep 2015), pp.249-254 http://dx.doi.org/10.14257/ijbsbt.2015.7.4.24
56. Praveen Kumar Prajapati, Poonam Sharma, Manish Dixit, “A Review on MR Brain Image Segmentation Based on Different Techniques”, JOOSDT (2015), 9-14, STM Journal, 2015.

Year 2014:

57. Pinky Rai, Manish Dixit, “Hybrid approach of facial Expression Recognition”, IJCSIT, International Journal of Computer Science and Information Technologies, Vol. 4 (6), 2013, 1029-1033, ISSN -0975-9646.
58. Manish Dixit, Sanjay Salakari, “A Hybrid Approach of Face Recognition Using Beizer Curve”, IJAST, International Journal of advanced science and Technology, vol -71(2014), Oct 2014, pp.41-48.
59. Sapna Arya, Manish Dixit, “A Clustered Based Novel Approach of Graph Coloring”, IOSR Journal of Computer Engineering (IOSR-JCE)e-ISSN: 2278-0661,p-ISSN: 2278-8727, Volume 16, Issue 6, Ver. II(Nov – Dec. 2014), PP 14-17. iosrjournals.org.
60. Mahendra PS Kuber, Manish Dixit, “A Review on Modified Image Enhancement Applications”, International Journal of Signal Processing, Image Processing and Pattern Recognition Vol.7, No.5 (2014), pp.71-78 http://dx.doi.org/10.14257/ijsip.2014.7.5.07

Year 2013:

61. Pinky Rai, Manish Dixit, “Hybrid Approach of Facial Expression”, IJCSIT, International Journal of Computer Science and Information Technologies, Vol. 4 (6) , 2013, 1029-1033,ISSN -0975-9646.
62. Pinky Rai, Manish Dixit, “Smile Detection via Bezier Curve of Mouth Interest Points”, International Journal of Advanced Research in Computer Science and Software Engineering (IJARCS) Volume 3, Issue 7, July 2013 ISSN: 2277 128X.

Year 2012:

63. Robin Singh Bhadoriya, Deepti Sahu, Manish Dixit, “Proficient Routing in Wireless sensor networks through grid-based protocol”, International Journal of Communication System and Networks) IJCSN, Volume 1 No2, May 2012, ISSN 2234-8018, Page no 104-109.
64. Manish Dixit, Sanjay Salakari, “Intelligent Image Recognition framework: An Exhaustive Survey of face detection and facial feature extraction approaches”, International Journal of Communication System and Networks) IJCSN, Volume 1 No2, May 2012, ISSN 2234-8018, Page no 67-73.

 International Conferences/ National Conferences

Year 2022:

1. Shradha Dubey, Manish Dixit, “An Automated Diagnosis of Diabetic Macular Edema Grading using Transfer Learning” at the 1st IEEE International Conference on “Innovations in High-Speed Communication and Signal Processing” (IHCSP) organized by MANIT, Bhopal from 4th - 5th March 2023 DOI:  https://doi.org/10.1109/IHCSP56702.2023.10127139 (SCOPUS)
2. Priyanka Gupta, Manish Dixit, “Performance Evaluation of Deep Learning Models for Surface Crack Detection” at the 1st IEEE International Conference on “Innovations in High-Speed Communication and Signal Processing” (IHCSP) organized by MANIT, Bhopal from 4th - 5th March 2023 https://doi.org/10.1109/IHCSP56702.2023.10127175 (SCOPUS)

Year 2022:

3. Priyanka Gupta, and Manish Dixit. "Image-based Road Pothole Detection using Deep Learning Model." In 2022 14th International Conference on Computational Intelligence and Communication Networks (CICN), pp. 59-64. IEEE, 2022. DOI: 1109/CICN56167.2022.10008278 (SCOPUS)
4. Sivanee Sihare and Manish Dixit presented the paper entitled “MRI-based Brain Tumour Prediction Based on U-Net and VGG_Net” at the International Conference on Edge Computing and Applications (ICECAA 2022) organized by Gnanamani College of Technology, Namakkal, Tamil Nadu, India held on 13-15 October 2022. DOI: 1109/ICECAA55415.2022.9936184 (SCOPUS)
5. Piyush Jharbade and Manish Dixit presented the paper entitled “Detecting Space Debris using Deep Learning Algorithms: A Survey” at the 4^th International Conference on Inventive Research in Computing applications (ICIRCA 2022) organized by RVS College of Engineering & Technology, Coimbatore, India held on 21-23 September 2022. DOI: 1109/ICIRCA54612.2022.9985622
6. Anand Jawdekar and Manish Dixit, “Hybrid Approach for Image Enhancement and Corner Detection Framework Using Contrast Enhancement Technique and Edge Preserving Filter” In 2022 IEEE 11th International Conference on Communication Systems and Network Technologies (CSNT), pp. 651-655. IEEE, 2022. DOI: 1109/CSNT54456.2022.9787567 (SCOPUS)
7. Ruchi Jayaswal and Manish Dixit. "A Study on Human-Computer Interaction based on Surveillance Tasks." In 2022 IEEE World Conference on Applied Intelligence and Computing (AIC), pp. 384-390. IEEE, 2022. DOI: 1109/AIC55036.2022.9848839 (SCOPUS)
8. Ruchi Jayaswal and Manish Dixit. "Monitoring Social Distancing based on Regression Object detector for reducing Covid-19." In 2022 IEEE 11th International Conference on Communication Systems and Network Technologies (CSNT), pp. 635-640. IEEE, 2022. DOI:  1109/CSNT54456.2022.9787660 (SCOPUS)
9. Devanshu Tiwari, Manish Dixit, Kamlesh Gupta. “The classification of breast cancer based on Hypertuned Adaboost Ensemble Model” In the 4^th International Conference on Machine Intelligence and Signal Processing (MISP-2022) organized by National Institute of Technology Raipur, India, 12-14 March 2022 DOI: https://doi.org/10.1007/978-981-99-0085-5_59

Year 2021:

10. Abhay Charan Patro, Saad Aziz Zaidi, Aaradhya Dixit, Manish Dixit, “A Novel Approach to Improve Employee Retention using Machine Learning” 2021 10th IEEE International Conference on Communication Systems and Network Technologies (CSNT), pp. 680-684. IEEE, 2021. DOI: 1109/CSNT51715.2021.9509601 (SCOPUS)
11. Sanjay Patsariya, Manish Dixit, “A Survey on Watermarking and its Techniques”, Machine Intelligence and Smart Systems: Proceedings of MISS 2021, DOI: https://doi.org/10.1007/978-981-33-4893-6_7.
12. Anand Jawdekar, Manish Dixit, “A Review of Image Enhancement Techniques in Medical Imaging”, Machine Intelligence and Smart Systems: Proceedings of MISS 2021, pp 25-33, MISS 2020, DOI: https://doi.org/10.1007/978-981-33-4893-6_3.

Year 2020:

13. Ruchi Jayaswal, Manish Dixit, “Comparative Analysis of Human Face Recognition by Traditional Methods & Deep Learning in Real-Time Environment” 2020 IEEE 9th International Conference on Communication Systems and Network Technologies (CSNT), pp. 66-71. IEEE, 2020. DOI:1109/CSNT48778.2020.9115779 (SCOPUS)
14. Anurag Goswami, Manish Dixit, “An Analysis of Image Segmentation Methods for Brain Tumour Detection on MRI Images” 2020 IEEE 9th International Conference on Communication Systems and Network Technologies (CSNT), pp 318-322, IEEE-2020 DOI: 1109/CSNT48778.2020.9115791 (SCOPUS)
15. Mohd Aijaj Khan, Manish Dixit, Aaradhya Dixit, “Demustifying and Anticipating Graduate School Admissions usingh Machine Learning Algorithms”, 2020 IEEE 9th International Conference on Communication Systems and Network Technologies (CSNT), pp 19-25, IEEE-2020 DOI: 1109/CSNT48778.2020.9115788 (SCOPUS)
16. Aijaj Khan, Manish Dixit, “Discovering Exoplanets in Deep Space using Deep Learning Algorithms” 020 12th International Conference on Computational Intelligence and Communication Networks (CICN), pp. 441-447. IEEE, 2020, DOI: 1109/CICN49253.2020.9242636 (SCOPUS)

Year 2019:

17. Shradha Dubey, Manish Dixit, “Image Enhancement Techniques: An Exhaustive Review” International Conference on Sustainable and Innovative Solutions for Current Challenges in Engineering & Technology (ICSISCET-2019), pp. 363-375. Springer, Cham, 2019. DOI: https://doi.org/10.1007/978-3-030-44758-8_34
18. Bulbul Agrawal, and Manish Dixit, "Age Estimation and Gender Prediction Using Convolutional Neural Network." International Conference on Sustainable and Innovative Solutions for Current Challenges in Engineering & Technology (ICSISCET-2019), pp. 163-175. Springer, Cham, 2019 DOI: https://doi.org/10.1007/978-3-030-44758-8_15
19. Bulbul Agrawal, Shradha Dubey, Manish Dixit, “Standard Statistical Feature for Facial Images using Principal Component Analysis and its comparative study with Independent Component Analysis”, International Conference on Intelligent Computing & Smart Communication (ICSC-2019). DOI: https://doi.org/10.1007/978-981-15-0633-8_104

Year 2018:

1. Juhi Punhani, Manish Dixit, “Impact of Optimization in Edge Detection using Adaptive Thresholding”, 2018, 10^th International Conference on Computational Intelligence and Communication Network.
2. Juhi Punhani, Manish Dixit, “Optimization of Edges of an image using gravitational search algorithm”, 2018, 8^th International Conference on Communication System and Network Technologies.

Year 2017:

1. Mohd Aijaj Khan, Manish Dixit, “Analysis on Applicability and Feasibility of Dynamic Programming on the basis of Time Complexity and Space through Case Studies” 1st International Conference on Data, Engineering and Applications 2017 (IDEA-2k17) October 28-29, 2017 Bhopal, India- Springer.
2. Mohd Aijaj Khan, Manish Dixit, Anubhav Tripathi, “All time tracking system for recovering stolen devices even in power-off state” 7^th IEEE International conference on Communication systems and Network Technologies 2017, 11-13 Nov2017, IIIT Nagpur.
3. Sunil Kumar Yadav, Manish Dixit, “An Improved Image Steganography based on 2-DWT-FFT-SVD on YCBCR Color Space”, International Conference on Trends in Electronics and Informatics, ICEI-2017, ISBN: 978-1-5090-4257-9, IEEE 2017.
4. Mohd. Aquib Ansari, Manish Dixit, “An Enhanced CBIR using HSV Quantization, Discrete Wavelet Transform and Edge Histogram Descriptor”, International Conference on Computing, Communication and Automation (ICCCA-2017), ISBN: 978-1-5090-6471-7, IEEE-2017.
5. Arpit Kushwah, Manish Dixit, “Designing and Analysis of an Efficient and accurate Approach for Image Segmentation”, International Conference on Trends in Electronics and Informatics, ICEI-2017, ISBN: 978-1-5090-4257-9, IEEE 2017.
6. Kunal Gupta, Rajni Ranjan Singh, Manish Dixit, “Cross Site Scripting (XSS) Attack Detection using Intrusion Detection System”, International Conference on Intelligent Computing and Control System (ICCS), 15-16 June 2017, ISBN: 978-1-5386-2745-7, IEEE 2017.

Year 2016:

1. Sakshi Sharma, Manish Dixit, “A Survey on Network Based Intrusion Detection System Using Snort”, Third National Conference in MITS Gwalior,2016.

Year 2015:

1. Praveen Kumar Prajapati, Manish Dixit, “Unsupervised MR images segmentation using SOM and anisotropic diffusion filter”, 7^th IEEE International conference CICN2015 at Jabalpur 12-14 Dec2015.
2. Mahendra PS Kuber, Manish Dixit, Sanjay Silakari, “Image Enhancement” National conference in Electronics Engineering at, MITS Gwalior.
3. Manish Dixit, Sanjay Silakari, “A Hybrid Facial Feature Optimisation Approach Using Bezier Curve”, 2015 International Conference on Computational Intelligence and Communication Networks (CICN).

Year 2014:

1. Ravindra Pal Singh, Manish Dixit, Sanjay Silakari, “Image Contrast Enhancement Using GA and PSO: A Survey”, CICN 2014, IEEE International Conference of Computational Intelligence and communication network,14-16 Nov2014, pp 186-189 Bhopal & Udaipur.
2. Amit Singh Chauhan, Manish Dixit, Sanjay Kilakari, “Image Segmentation Methods: A Survey Approach”, IEEE International Conference, CSNT 2014 ,7-9 April, NITTTR,Bhopal.
3. MPS Kuber, Manish Dixit, Sanjay Silakari, “Image Transformation Method: A Review”, National Conference in MITS,Gwalior.

Year 2013:

1. Pinky Rai, Manish Dixit, Sanjay Silakari, “A review on Smiley Face Recognition”, 2013 International Conference on Communication Systems and Network Technologies.
2. Amit Chaturvedi, Damodar Tiwari, Manish Dixit, Robin S Bhadoriya, “Route Discovery Protocol for Optimizing the Power Consumption in Wireless Ad-hoc Networks”, CSNT-2013, Gwalior.
3. Pinky Rai, Manish Dixit, Sanjay Silakari, “A Review on Smiley Face Recognition”, CSNT-2013, Gwalior.

Year 2012:

1. Robin Singh Bhadoria, Manish Dixit, Rohit Bansal, Abhishek Singh Chauhan, “Detecting and searching System for Event on Internet Blog Data Using cluster mining” India-2012, Vishakhapatnam,India.
2. Robin Singh Bhadoria, Manish Dixit, Ram Kumar, Nitin Dixit, “Energy Efficient Routing in Wireless Sensor Networks through Grid Based Protocol”, CSNT-2012, Rajkot, Gujarat.
3. Varun Mishra, Premnarayan Arya, Manish Dixit, “Improving Mobile Search through Location Based Context and Personalization”, CSNT-2012, Rajkot, Gujarat.
4. Kuldeep S Jadon, Satyam Maheshwari, Manish Dixit, “Competent Searching for geographic information gathering using knowledge mining”, CICN-2012, Mathura.
5. Robin S Bhadoriya, Neha Jain, Lipika Gupta, Manish Dixit, “Power Aware consumption routing in wireless sensor networks”, CICN-2012, Mathura.

Year 2011:

1. Robin S Bhadoriya, Manish Dixit, Rohit Bansal, Henry Alexender, “Wiki as the component in Web Technology” FANCCO-2011, Vishakhapatnam, India.
2. Piu Upadhyaya,Sumanna Barman, Debanath Bhattacharya, Manish Dixit, “Enhanced Bangla character Recognition Using ANN”, IEEE International Conference on communication systems and network technologies, CSNT -2011 In Jammu, ,3-5 June2011,pp 194-197.
3. Robin S Bhadoriya, Premnarayan Arya, Manish Dixit, “Utility of Mining algorithms in Blogs Searching efficiency”, IEEE International Conference in Gwalior, CICN -2011.
4. Robin S Bhadoriya, Manish Dixit, “Efficient Search in Blogs Using cluster mining”, IEEE International Conference In Jammu, CSNT -2011 In Jammu, ,3-5 June2011, only in brochure.
5. Robin Singh, Manish Dixit, Varun Mishra, Kuldeep Singh Jadon, “Enhancing Web Technology through Wiki-Shell architecture”, IEEE International Conference In –Mumbai, WICT -2011.
6. Robin S Bhadoriya, Premnarayan Arya, Manish Dixit, “Improving Blogs efficiency through frequent pattern mining”, IEEE International Conference in Gwalior –CICN 2011, local publishing.
7. Robin Singh, Manish Dixit, Ram Kumar, “Analysis on Probabilistic and binary datasets through frequent itemset mining”, IEEE International Conference In –Mumbai WICT-2011
8. Manish Dixit, Gunjan Jain, Deepak Shrivastava, “Sensors for Industrial and Scientific Application”, Conference of IETE at Gwalior.

Year 2010:

1. S. K. Ganesan; M. Dixit; M. K. Saxena; E. Bhatnagar, “An emerging architecture and implementation for UWB MAC validation”, Proceedings of Papers 5th European Conference on Circuits and Systems for Communications (ECCSC'10), Page 197-199.
2. S. K. Ganesan; M. Dixit; M. K. Saxena; E. Bhatnagar, “Architecture enhancement of a CWUSB System for high throughput”, 2010 IEEE Symposium on Industrial Electronics and Applications (ISIEA), Page 1-4

Year 2009:

1. Geetam S. Tomar, Manish Dixit, Shekhar Verma, “AODV Routing Protocol with Selective Flooding”, 2009 International Conference of Soft Computing and Pattern Recognition.

Year 2002:

1. Manish Dixit, GS Tomar, Anshu Bansal, J Singh Bharti, “Voice Over Internet Protocol”, Communication Technology-2002 by IETE, Gwalior.
2. Manish Dixit, GS Tomar, Anshu Bansal, J Singh Bharti, “Automatic Test Pattern Generation for a VLSI chip”, Communication Technology by IETE,Gwalior.
3. Manish Dixit, GS Tomar, “Techniques to improve Processing speed of Microprocessors”, Communication Technology-2002 by IETE, Gwalior.
4. Rajnish Goyal, Manish Dixit, “Bluetooth Technology” IETE & CSI Joint Conference, Gwalior.

Year 2000:

1. Aditya Trivedi, Laxmi Shrivastava, Manish Dixit, “Optical Fiber Link Design”, Conference on Intelligent Systems (IS-2000), Gwalior.

Book Chapter

Year 2023:

1. Devshri Satyarthi, K.V. Arya, Manish Dixit(2023). "Drone Technologies: Aviation Strategies, Challenges, and Applications", Drone Technologies: Aviation Strategies, Challenges, and Applications, Scrivener Publishing, pp 117-152 . DOI: 10.1002/9781394168002.ch6

Year 2021:

1. Radha Madhu Seekar Vedula, Robin Singh Bhadoria, Manish Dixit “Integrating Blockchain with AI”, In Book-Multidisciplinary Functions of Blockchain Technology in AI and IOT Applications, IGI Global, 2021, pp 1-25.
2. Ruchi Jayaswal, Manish Dixit, “An Intelligent Surveillance System for Human Behavior Recognition: An Exhaustive Survey”, Bentham Series, Recent Development in Artificial Intelligence & Communication Technologies.
3. Shradha Dubey, Manish Dixit, “Applying Deep Learning and Computer Vision for Early Diagnosis of Eye Diseases”, Bentham Series, Disease Prediction using Machine Learning, Deep Learning and Data Analytics (DPML-21)

Year 2017:

1. Manish Dixit, published text book “Featured Analysis of Enterprise Service Bus”, 2017, ISBN: -978-1-5225-2157-0, Published by IGI Global, USA.

• International Journal:

1. N. Goswami, Manali Shukla, Anshu Chaturvedi “An Optimal Technique For Predictive Phishing Detection” International Journal Of Scientific & Technology Research Volume 9, Issue 02, February (2020) 3226 -3229
2. Hirendra Singh Sengar, Dr. D.N.Goswami, Dr. Anshu Chaturvedi, “A Secure Encryption through Gray Codes and BigIntegers for IoT Devices” International Journal Of Scientific & Technology Research Volume 9, Issue 06, June (2020) 180-185
3. Anshu Chaturvedi,Prof. D.N. Goswami, Manali Shukla,” Performance Evaluation of Classification Techniques for Phishing Attack Detection”, International Journal of Research in Advent Technology, Vol.7, No.1, January 2019 E-ISSN: 2321-9637
4. Rakesh Prasad Sarang, Anshu Chaturvedi, D. N. Goswami, “Privacy Secure data authentication in cloud computing”, International Journal Of Computer Sciences And Engineering September (2018) 6(9):723-731
5. Anshu Chaturvedi, D. N. Goswami, Rakesh Prasad Sarang,” Privacy Algorithms to Improve the Secure Framework for Cloud Computing Environment “, International Journal of Advanced Research in Computer and Communication Engineering, Vol. 6, Issue 4, April (2017) 63-69
6. Chaturvedi, Anshu, D. N. Goswami, and Rishi Soni. "An Efficient Method for Protecting High Utility Itemsets in Utility Minin" International Journal of Database Theory and Application 9, no. 7 (2016): 147-156.
7. Chaturved Anshu, D.N. Goswami & Shivjay Singh “Energy Efficient Cluster Head Selection for Cross Layer Design Over Wireless Sensor Network” published in International Journal of Communication Networks and Distributed Systems, InderScience vol 16 number 4, 2016, 335351.

8. Anshu Chaturvedi, D.N. Goswami, Rishi Soni, Brijesh Kumar Chaurasia “ Secure   Multi-party Communication in Data-mining Applications “published in International      Journal of Database Theory and Application Vol.8, No.4 (2015), pp.299-306  
9. Dar, Mohammad Altaf, D. N. Gowsami, & Anshu Chaturvedi. "Testing Effort Dependent Software Reliability Growth Model with Dynamic Faults for Debugging Process." Published in International Journal of Computer Applications. (0975 – 8887) Volume 113 – No. 11, March 2015
10. Anshu Chaturvedi, D.N Goswami., Tripti Sharma,”Optimized battery threshold for better network connectivity.” published in International Journal of System Assurance Engineering and Management (Springer) Vol. 5, No. 2, ISSN 0975-6809 April- June, 2014, 181-185
11. Anshu Chaturvedi, “Impact of Malicious Node in MANETs”, published in International Journal of Computer Applications (0975 – 8887) Special Issue on International Conference on Reliability, Infocom Technology and Optimization ICRITO:41-44, August 2013. Published by Foundation of Computer Science, New York, USA.
12. Goswami D.N., Chaturvedi Anshu., ”Cross Layer Integrated Approach for Secured Cluster Selection in Adhoc Networks” published in International Journal on Computer and Communication Engineering Vol. 01, No. 03, Sep, 2012, 187-190
13. Anshu Chaturvedi, D.N Goswami., Tripti Sharma, ”Energy Optimal Path Algorithm for Routing in Static Adhoc Network using Greedy Approach” published in International Journal of Computer Applications (0975 – 8887) 48, No. 24, June, 2012, 23-28 DOI: 10.5120/7529-0589

14. Goswami D.N., Chaturvedi Anshu. RaghuvanshiS,”An Algorithm for Frequent Pattern Mining Based On Apriori” published in International Journal on Computer Science and Engineering Vol. 02, No. 04, 2010, 942-947
15. Goswami D.N., Chaturvedi Anshu. RaghuvanshiS,”Frequent Pattern Mining Using Record Filter Approach” published in International Journal of Computer Science Issues Vol. 07, Issue 04, No.7, July 2010, 38-43
16. Raghuvanshi C.S ., D. N. Goswami, Anshu Chaturvedi, ”Modified Approach in Classical Apriori and Partition Algorithm for Frequent Pattern Mining”, published in International Journal of Communications in Dependability and Quality Management. Vol-13,number4,December 2010,pp.40-47

• International Conference:

1. N. Goswami, Manali Shukla, Anshu Chaturvedi “ Role of man in the middle attack in the digital transactions”, Virtual 3rd  International Conference in Artificial Intelligence & Robotics in Life Sciences.25-26 February 2022(Virtual -ICAR-2022), Rama University , Kanpur (U.P.)
2. N. Goswami, Pushpendra Chaturvedi , Anshu Chaturvedi “ A study  of security in Cloud Services”, Virtual 3rd  International Conference in Artificial Intelligence & Robotics in Life Sciences.25-26 February 2022(Virtual -ICAR-2022), Rama University , Kanpur (U.P.)
3. N. Goswami, M. Shukla and A. Chaturvedi, "Phishing Detection Using Significant Feature Selection," 2020 IEEE 9th International Conference on Communication Systems and Network Technologies (CSNT), 2020, pp. 302-306, doi: 10.1109/CSNT48778.2020.9115782.
4. Anshu Chaturvedi, Hirendra Singh Sengar, “Improved Symmetric Key Technique Using Randomization”, International Conference on Communication, Networks and Computing, CNC-2018, pp 432-442 ,Springer, Singapore (22-24 March, 2018)
5. Chaturvedi, Anshu; Goswami, D.N.; Singh, Shivjay, "Energy aware route  selection algorithm for cross layer design over MANET," International Conference on Reliability, Infocom Technologies and Optimization (ICRITO) (Trends and Future Directions), 2015 4th, vol., no., pp.1-6, 2-4 Sept. 2015 doi: 10.1109/ICRITO.2015.7359299

6. Anshu Chaturvedi, C.S Raghuvanshi, Rishi Soni “A comparative study of Frequent pattern Mining Algorithms” published in proceeding of  International Conference on Reliability, Infocom Technologies and Optimization (ICRITO-2013) (Trends and Future Directions), (29-31 January,2013)

7. Chaturvedi Anshu,. Goswami D.N., Raghuvanshi C.S “Partition Algorithm for Frequent Mining using Two Column Atomic Data Layout” accepted for publication in proceeding of  International Conference on Quality, Reliability, Infocom Technology And Industrial Technology Management (26-28 Nov,2012)
8. Chaturvedi Anshu,. Goswami D.N., Raghuvanshi C.S “Innovative Approach in Partition for Frequent Pattern Mining” accepted for publication in proceeding of International Conference on Optimization Modelling and Applications (29Nov-01 Dec, 2012).
9. Anshu Chaturvedi, D. N. Goswami and Shivjay Singh "An Analytical Study of Impact of Radius and Energy on Throughput in ZRP" accepted for publication in proceeding of International Conference on Optimization Modelling and Applications (29Nov-01 Dec, 2012).
10. C. Anshu and D. N. Goswami, “Enhancing performance in adhoc networks using cross layer designs,” 2011 World Congress on Information and Communication Technologies, published in IEEE xplore, pp. 571–575, Dec. 2011.
11. Anshu Chaturvedi, D. N. Goswami, ,”Cross Layer Integrated Approach for Secured Broker Selection In Public/Subscribe for adhoc networks”, IEEE International Advanced Computing conference ( IACC’09), published in IEEE xplore, held at patiala, Pg. No. 952-957.

• National Journal:

1. Anshu Chaturvedi, D. N. Goswami, ”Service Based Model For Wireless Security” published in Varahmihir Journal of Computer and Information Sciences, Volume 3,No. 1 & 2,2008.
2. Anshu Chaturvedi, D. N. Goswami, ”Performance Comparison of AODV, DSR, DSDV and ZRP” published in Journal of Computer Sciences, Computer Society of India, Volume 38,No. 4.Oct-Dec.2008,pp. 24-28

• National Conference:

1. Anshu chaturvedi , Shivjay Singh “ Web Crawler for Copyright Infringement.” 2011, National Conference on Computer Application in Electrical Engineering: Recent Trends in MITS (Dec 16-17'2011)
2. Anshu Chaturvedi, R.S. Jadon, Anamika Ahirwar, “Multimedia Data Mining: A review” AICTE sponsored National conference on Advances in Electrical Engineering (AEE 2006), held at MITS, Gwalior, Pg. No. 29-30.
3. Aakash Dixit, Anshu Chaturvedi, D. N. Goswami,”Technicalities and Issues of RFID: A Survey” AICTE sponsored National conference on Soft Computing Techniques in Electrical Engineering (SCTEE 2010), held at MITS, Gwalior, A-57.

• Khushboo Agarwal “ Improved Spatial Reuse using DMAC Protocol ” International Conference on Computational Intelligence and Communication Network(CICN-2015) 12-14, December 2015, 7^th IEEE CICN 2015, Jabalpur(MP)
• Khushboo Agarwal, Vikas Sejwar ”Extensive Survey on Medium Access Control Protocol with Probable” International Journal of Communication systems and Networks Technologies(IJCSNT) 4, No.1, 2015 ISSN 2053-6283,PP 1-13.
• Khushboo Agarwal, Vikas Sejwar “Effect on Throughput Due to Changes Transmission Power of Nodes in MANETs” International Journal of Future Generation Communication and Networking,Vol. 8, No. 3 (2015), http://dx.doi.org/10.14257/ijfgcn.2015.8.3.19, pp. 207-212
• Khushboo Agarwal, Vikas Sejwar “Avoidance of Hidden Terminal & Exposed terminal problem Using Directional MAC Protocol “International Journal of Future Generation Communication and Networking Vol. 8, No. 4 (2015), pp.231-238 dx.doi.org/10.14257 ijfgcn.2015.8.4.23
• Anulekha Goud, Khushboo Agarwal and Jaimala Jha” A survey on :Security & Privacy Overview under Cloud Computing Adoption Frame work” in IJSART Vol 3, Issue 8 (Aug 2017) ISSN:2395-1052
• Anulekha Goud, Khushboo Agarwal and Jaimala Jha”Time based Encryption & Decryption for Enhancing Security in File Sync & Share System Over Business Cloud” in IJARCET Vol 6, Issue 8 Aug2017,ISSN 2278-1323.
• Khushboo Agarwal “Review of Medium Access Control protocol for MANET” in IJCSN Vol.2, No.1, 2012 DOI- 10.18486/ijcsn.2012.2.1.07.
• Khushboo Agarwal ““Invisible Watermarking Approach: Using DCT, SVD and 5- Level DWT” IJCSNT Vol.5, No.3, 2016 DOI- 10.18486/ijcsnt.2016.5.3.06
• Ankita S. Tomar, Rajendra Kumar Gupta and Khushboo Agarwal “A data Mining   Approach for Identifying the Reasons Behind the failure of Alhocol Consuming students” in JETIR Vol 6, issue 1 page no 126-130.
• Ankita S. Tomar, Rajendra Kumar Gupta and Khushboo Agarwal” A Review Of Dm Approaches For Predicting Student’s Performance” International Journal of Technical Innovation in Modern Engineering & Science (IJTIMES) Volume 4, Issue 10, October-2018.
• Sonam Singh Gurjar, Khushboo Agrawal ”Comprehensive Overview On Web Usage Mining Task & Techniques” International Journal of Computer Sciences and Engineering (IJCSE), Volume 7,Issue 5, 2019.

1. J. Jha and S. S. Bhaduaria, “A novel approach for retrieval of historical monuments  images using visual contents and unsupervised machine learning,” Int. J. Adv. Trends   Comput. Sci. Eng., vol. 9, no. 3, pp. 3563–3569, 2020, doi:10.30534/ijatcse/2020/162932020. 
2.  R. Jayaswal, J. Jha, and M. Dixit, “Mining of Images by K-Medoid Clustering Using  Content Based Descriptors,” Int. J. Signal Process. Image Process. Pattern Recognit.,  vol. 10, no. 8, pp. 135–144, 2017, doi: 10.14257/ijsip.2017.10.8.12
3.  J.  Jha, “Review of Various Shape Measures for Image Content Based Retrieval,”vol. 3, no. 6, 2015.
4.  R. Devesh, J. Jha, R. Jayaswal, M. Gwalior, and M. Pradesh, “Retrieval of Monuments images Through ACO Optimization Approach,” Int. Res. J. Eng. Technol., vol. 4, no. 7, pp. 279–285, 2017, [Online]. Available: https://irjet.net/archives/V4/i7/IRJET-
   V4I748.pdf.
5. S Duseja, J. Jha, "Transfer learning-based Fashion Image Classification using Hybrid 2D- CNN and ImageNet Neural Network" International Journal for Research in Applied Science & Engineering Technology vol. 9  issue 11 Nov. 2021.
6. P. Pal,  J.  Jha,  "A REVIEW STUDY ON FACE GENDER RECOGNITION USING DEEP LEARNING", Journal of Emerging Technologies and Innovative Research (JETIR)November 2021, Volume 8, Issue 11.

7. P. Pal,  J.  Jha, "SURVEY PAPER ON FACE GENDER RECOGNITION USING DEEP ", IRJET 2021

8.  A Novel approach for Retrieval of Historical Monuments Images using Visual Contents and Unsupervised Machine Learning International Journal of Advanced Trends in Computer Science and Engineering 2020.  WARSE

9.  R. Dhameja, J. Jha,  "Analysis of Clustering Methods with CBIR-A survey", is published in International Journal of Innovative Research in Science, Engineering and Technology (IJIRSET).

10. R. Dhameja, J. Jha,  "A Hybrid Approach for Image Retrieval" is published in A UGC-CARE Approved Group-II, Compliance Engineering Journal (CEJ).

     

• Parul Saxena, Hemlata Arya, Samta Jain, “Semantic Tagging of Events for Human Behaviour Recognition in Videos”, JOICS, Vol. 12, Issue 6, June 2022. DOI:10.12733.JICS.2022.V12106.535569.60051
• Parul Saxena, R S Jadon, “Characterizing Anomalous Behavior of Moving Objects using Optical Flow Feature Extraction in Crowded Environment”, IJET, Vol. 12, Issue 2, April 2020. DOI : 21817/ijet/2020/v12i2/201202005  
• Parul Saxena, R S Jadon, “An Effective Approach For Forest Fire Detection in Surveillance Video using Rule-Based and Temporal Variations”, International Journal of Scientific & Technology Research, Vol. 8, Issue 09, Sept. 2019.
• Parul Saxena, “Face Detection Using Kernel SVM Learning Technique with HOLBP- Dominant Color Descriptor”, Journal of Applied Science and Computations, Vol. V, Issue X, Oct 2018.
• Parul Saxena, R S Jadon, “Video Surveillance Based on SURF Extraction Using Hybrid BPNN”, International Journal of Research in Electronics and Computer Engineering (IJRECE), Vol. (6), Issue 3, pp. 814- 826, July-Sept 2018.

1. Astha Gupta, Mahesh Parmar, “A Novel Technique for Authorship Verification of Hijacked Online Social Networks User Accounts”. International Journal of Science and Research (IJSR). March 2022, Volume 11 Issue 3, PP:1275-1279, ISSN: 2319-7064, DOI: 10.21275/SR22323175239.
2. Karishma Kaushik , Mahesh Parmar, IMDb Movie Data Classification using Voting Classifier for Sentiment Analysis, International Journal of Computer Sciences and Engineering(IJCSE), January 2022, Vol. 10, Issue.1,PP:18-23, E-ISSN: 2347-2693, DOI: https://doi.org/10.26438/ijcse/v10i1.1823, (UGC Approved) (Impact Factor 3.022).
3. Anupam Sharma, Mahesh Parmar, A Survey on Text Pre-Processing and Feature Extraction Techniques for Sentiment Analysis of Twitter Data. International Research Journal of Computer Science (IRJCS).20 December 2021, Volume 08, Issue 12,PP: 271-278, ISSN: 2393-9842, doi: https://doi.org/10.26562/irjcs.2021.v0812.001
4. Karishma Kaushik, Mahesh Parmar, Sentiment Analysis Based on Movie Reviews using Various Classification Techniques : A Review. International Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), 05 May 2021, Volume 7, Issue 3, PP: 197-208, ISSN : 2456-3307, DOI: https://doi.org/10.32628/IJSRCSEIT(Impact Factor 6.135).
5. Astha Gupta, Mahesh Parmar, A Comprehensive Survey on Data Mining Based Hesitation Rule Mining using Vague Association Rule. International Journal of Engineering Research (IJER), 01 Jan 2021, Volume-10, Issue-1, PP. 8-16. ISSN: 2319-6890 (online), 2347-5013(print). (Impact Factor 0.421).
6. Priyanka Rajpoot, Mahesh Parmar, Cervical Cancer prediction based on Hybrid Feature Selection Model and Classification Algorithm. International Journal of
   Computer Sciences and Engineering (IJCSE), June 2020, Volume-8 Issue-6, PP. 101-105, E-ISSN: 2347-2693, DOI: https://doi.org/10.26438/ijcse/v8i6.101105 (UGC Approved) (Impact Factor 3.022).
7. Soniya Mudgal, Mahesh Parmar, Mining of the Correlations for Fatal Road Accident using Graph-based Fuzzified FP-Growth Algorithm. International Journal of Engineering and Advanced Technology (IJEAT), June 2020, Volume-9 Issue-5, PP. 279-283, ISSN: 2249 – 8958, DOI: 10.35940/ijeat.E9526.069520. (ELSEVIER Scopus Index) (Impact Factor 6.02).
8. Soniya Mudgal, Mahesh Parmar, A Comprehensive Review on Road Traffic Fatal Accidents in India. International Journal of Computer Sciences and Engineering (IJCSE), April 2020, Vol.8, Issue.4 PP. 141-144, E-ISSN: 2347-2693, DOI: https://doi.org/10.26438/ijcse/v8i4.141144.  (Impact Factor  022)
9. Sumit Sharma, Mahesh Parmar: Heart Diseases Prediction using Deep Learning Neural Network Model. International Journal of Innovative Technology and Exploring Engineering (IJITEE). January 2020, Volume-9 Issue-3, PP. 2244-2248, ISSN: 2278-3075, DOI: 10.35940/ijitee.L2825.1081219. (ELSEVIER Scopus Index) (Impact Factor 5.54).
10. Priyanka Rajpoot , Mahesh Parmar: SURVEYON DATA MINING CLASSIFICATION TECHNIQUES FOR PREDICTION OF LUNG CANCER, International Journal of Latest Trends in Engineering and Technology(IJLTET), December 2019, Volume-15 Issue-2, PP. 061-066, e-ISSN:2278-621X, DOI: http://dx.doi.org/10.21172/1.152.11. (Impact Factor 0.685) (UGC Approved).
11. Anjali Agrawal, Mahesh Parmar: Multilevel Fraud Detection System using Voting Techniques. International Journal of Innovative Technology and Exploring Engineering (IJITEE). October 2019, Volume-8 Issue-12, PP. 1805-1811, ISSN: 2278-3075, DOI: 10.35940/ijitee.L2825.1081219. (ELSEVIER Scopus Index) (Impact Factor 5.54)
12. Monika Dandotiya, Mahesh Parmar: Optimal Hesitation Rule Mining using weighted Apriori with Genetic Algorithm. International Journal of Innovative Technology and Exploring Engineering (IJITEE). October 2019, Volume-8 Issue-12, PP. 3321-3328, ISSN: 2278-3075, DOI: 10.35940/ijitee.L2825.1081219. (ELSEVIER Scopus Index) (Impact Factor 5.54)
13. Monika Dandotiya, Mahesh Parmar: A Survey in Data Mining Prospective for handling Uncertainty and Vagueness. International Journal of Computer Sciences and Engineering (JCSE). 30 April 2019, Vol.-7, Issue-4, PP. 56-61, E-ISSN: 2347-2693, DOI: https://doi.org/10.26438/ijcse/v7i4.5661. (UGC Approved), (Impact Factor 3.002).
14. Sumit Sharma, Mahesh Parmar: Review paper on Techniques of Sketch Based Image Retrieval. International Journal of Research and Analytical Reviews (IJRAR). March 2019, Volume 6, Issue 1, PP. 353-358, ISDN: E-ISSN 2348-1269, P- ISSN 2349-5138. (UGC Approved), (Impact Factor 5.75).
15. Anjali Agrawal, Mahesh Parmar: A REVIEW ON OPTIMIZATION TECHNIQUES USING DATA MINING. International Journal of Research and Analytical Reviews (IJRAR). February 2019, Volume 6, Issue 1, PP. 616-621, ISDN: E-ISSN 2348-1269, P- ISSN 2349-5138. (UGC Approved), (Impact Factor 5.75).
16. Mahesh Parmar: Comparative Analysis of Classification Techniques using WEKA on Different Datasets. International Journal of Latest Engineering and Management Research (IJLEMR). June 2018, Volume 03, Issue 06, PP. 01-05, ISSN: 2455-4847.
17. Kritika Yadav and Mahesh Parmar: Analysis of Mahatma Gandhi National Rural Employment Guarantee Act Using Data Mining Technique. International Journal of Computational Intelligence Research (IJCIR). 2017, Volume 13, Number 9 (2017), pp. 2221-2235, ISSN 0973-1873 (UGC Approved) (EBSCO database).
18. Pooja Devi and Mahesh Parmar: Object Detection Based Image Retrieval using Edge Detection,GCV Method for YCbCr and NTSC Color Space. International Journal of Computer Science and Engineering (JCSE), May 2017, Volume-5, Issue-5, pp. 175-181, E-ISDN: 2347-2693. (UGC Approved)(Impact Factor: 2.638)
19. Kritika Yadav, Mahesh Parmar: Review Paper on Data Mining and its Techniques and Mahatma Gandhi National Rural Employment Guarantee Act. International Journal of Computer Science and Engineering (JCSE), April 2017, Volume-5, Issue-4, pp. 68-73, E-ISDN: 2347-2693. (UGC Approved)
20. Moksha Shridhar, Mahesh Parmar: Survey on Association Rule Mining and Its Application. International Journal of Computer Science and Engineering (JCSE), March 2017, Volume-5, Issue-3, pp. 129-135, E-ISDN: 2347-2693. (UGC Approved)
21. Pooja Devi and Mahesh Parmar: A Survey on CBIR Techniques and Learning Algorithm Comparison. International Journal of Latest Trends in Engineering and Technology (JLTET), January 2017, Vol. No. 8, Issue 1, pp.197-205, ISSN:2319-3778. (DOI: 10.21172 )(UGC Approved)(ICI Global Impact factor 0.685)
22. Uday Pratap Singh, Sanjeev Jain, Rajeev Kumar Singh, Mahesh Parmar & Sonam Singh: Adaptive Neural Network Controller for Nonlinear Discrete Time Systems with Bounded Disturbances. International Journal of Control Theory and Applications (IJCTA), August 16, Vol. 9 (2016), pp.: 285-291, ISSN: 0974-5572.(Impact Factor 1.57)( ELSEVIER Scopus Index)
23. Uday Pratap, Sanjeev Jain, Rajeev Kumar Singh, Mahesh Parmar, Rajni Ranjan Singh Makwana, Jamvant Singh Kumare, Dynamic Surface Control Based TS-Fuzzy Model for a Class of Uncertain Nonlinear. International Journal of Control Theory and Applications Systems, (Scopus Index), June 2016, Vol.9, No.2, pp. 1333-1345, ISSN : 0974-5572
24. Jitendra Singh Dhakar, Mahesh Parmar: A Survey on Grid Based Data Aggregation in Wireless Sensor Networks. International Journal of Sensor and Its Applications for Control Systems (IJSACS), May 2016, Vol.4, No.1, pp.11-18,  ISSN: 2287-8467  http://dx.doi.org/10.14257/ijsacs.2016.4.1.02.
25. Nilesh Solanki, Mahesh Parmar, Dr. Vineet Richhariya: Non-Saperable Reversible Data Hiding in Encrypted Image Using Chaoutic Map. International Journal of Computer Science and Information Technologies (IJCSIT). 2015, Vol. 6 (2),pp. 1656-1659, ISSN : 0975-9646.
26. Mala Bharti, Vineet Richhariya and Mahesh Parmar: An Implementation of IDS in a Hybrid Approach and KDD CUP Dataset. International Journal of Research Granthaalayah (IJRG) Indore, Dec-14, Vol. 2, 2-12, ISSN-2350-0530(o), ISSN-2394-3629(p).
27. Mala Bharti, Vineet Richhariya and Mahesh Parmar: A Survey on Data Mining based Intrusion Detection Systems. International Journal of Computer Networks and Communications Security, Dec-14, Vol. 2, No.12, 485-490, ISSN 2308-9830.
28. Mahesh Parmar, W.U. Khan, Binod Kumar: An Architectural Decision Tool Based on Scenarios and Nonfunctional Requirements. International Journal of Advanced Computer Science and Application (IJACSA). Science and Information Organization Publication, USA, February 2011, Vol. 2, No.2, pp. 105-110, ISSN: 2156-5570.

1. A model for forecasting dengue disease using genetic based weighted FP-growth, Rajput, V., Manjhvar, A. Proceedings - International Conference on Trends in Electronics and Informatics, ICEI,2017, 2018- January, pp. 944–948 (Scopus)
2. Relation classification from unstructured medical text using feature based machine learning approach, Gupta, S., Manjhvar, A.K., Proceedings - International Conference on Trends in Electronics and Informatics, ICEI 2017, 2018, 2018-January, pp. 1135–1138 (Scopus).
3. Role of clustering in crime detection: Application of fuzzy KMeans, Tomar, N., Manjhvar, A.K., Advances in Intelligent Systems and Computing, 2018, 554, pp. 591–599 (Link Springer, Scopus)
4. Updated page rank of dynamically generated research authors' pages: A new Idea, Verma, S., Manjhvar, A.K.2016 IEEE International Conference on Recent Trends in Electronics, Information and Communication Technology, RTEICT 2016 - Proceedings, 2017, pp. 879–882, 7807954 (Scopus).
5. An improved optimized clustering technique for crime detection, Tomar, N., Manjhvar, A.K. 2016 Symposium on Colossal Data Analysis and Networking, CDAN 2016, 2016, 7570880 (Scopus, IEEE).
6. A review on link prediction in social network Kushwah, A.K.S., Manjhvar, A.K. International Journal of Grid and Distributed Computing, 2016, 9(2), pp. 43–50 (Scopus).
7. R. Richhariya, A.K. Manjhwar, R. R. Singh Makwana, “A Hybrid Approach for User to Root and Remote to Local Attack,” International Journal of Computer Sciences and Engineering, Vol.5, Issue.6, pp.73- 79, 2017.
8. Air Quality Index Class Prediction using data mining techniques, IJRASET 7, 1573-1578, ISSN: 2321- 9653; IC Value: 45.98; SJ Impact Factor: 7.177, Volume 7 Issue VI, June 2019.
9. Data based model for predicting covid-19 predicting incidence using data mining, DOI: https://doi.org/10.26438/ijcse/vol.10, Issue 5, may 2022, E-ISSN: 2347-2693.
10. Rajul Richhariya, Amit Kumar Manjhwar, “Intrusion Detection Using Ensemble Classifier With Selective SMOTE & Feature Reduction” in International Journal of Engineering Science and Technology, pp 417-425 Volume 9, Issue 5, May 2017.
11. Prateeksha Tomar, Amit Kumar Manjhvar, “Clustering Classification for Diabetic patients using Kmeans and M-Tree Prediction Model” in International Journal of Scientific Research in Multidisciplinary Studies (ISRONET)” pp 48-53, Volume 3, Issue 6, June 2017, ISSN:2454-9312.
12. Prateeksha Tomar, Amit Kumar Manjhvar, “Survey report on various decision tree classification algorithm using weka tool”, in International Journal of computer science and engineering(IJCSE), volume -5, Issue 3, March 2107, E-ISSN:2347-2693.
13. AK Shaheen Usmani,A Comprehensive review of pattern Warehousing Techniques , IJEDR 7, 2321- 9939,2019.
14. AM, Sudipti Banarjee, Rainfall Prediction for socio- economic benefits using machine learning over grid region of India, JETIR 6, 468-474,2019.

1. Ranjeet Kumar Singh, Anand Prakash Dube, Rinki Kumari, “Least Significant Bit-Based Image Watermarking Mechanism: A Review”, International Journal of Social Ecology and Sustainable Development (IJSESD), ISSN: 1947-8402, May 2022 (Elsevier Scopus).
2. Ranjeet Kumar Singh, Ganesh Gupta, Tej Singh, Kalka Dubey, Anjul Mehto, “Circulate matrix and compression sensensing based Multi-level image encryption”, Traitement du Signal ISSN: 1958-5608, July 2022 (Elsevier Scopus, SCIE).
3. Ranjeet Kumar Singh, Binod Kumar, Di1ip Kumar Shaw, D.A.Khan, “Level by level image compression- encryption algorithm based on Quantum chaos map”, Journal of King Saud University - Computer and Information Sciences, ISSN: 1319-1578, https://doi.org/10.1016/j.jksuci.2018.05.012 (Elsevier Scopus, SCIE).
4. Rinki Kumari, Puspneel Verma, Ranjeet Kumar Singh, “A novel matrix multiplication based LSB substitution mechanism for data security and authentication”, Journal of King Saud University - Computer and Information Sciences, ISSN: 1319-1578, https://doi.org/10.1016/j.jksuci.2021.01.013 (Elsevier Scopus, SCIE).
5. Ranjeet Kumar Singh, Dilip Kumar Shaw, “A secured and robust image watermarking based on pixel permutation, wavelet transform, and singular value decomposition”. Journal of Engineering Science and Technology, School of Engineering, Vol. 14, No. 4 (2019) 1924-1939, ISSN: 1823-4690, Taylor’s University (Scopus, ESCI)
6. Ranjeet Kumar Singh, Dilip Kumar Shaw, “A Hybrid Concept of Cryptography and Dual Watermarking (LSB_DCT) For Data Security”. International Journal of Information Security and Privacy Volume 12 • Issue 1 • January-March 2018, ISSN: 1930-1650, Page: 1-12, OI: 10.4018/IJISP.2018010101, IGI Global Publication (Scopus, ESCI)
7. Ranjeet Kumar Singh, Dilip Kumar Shaw, Jayakrushna Sahoo “A Secure and Robust Block-Based DWT-SVD Image Watermarking Approach”, Journal of Information & Optimization Sciences, Vol. 38 (2017), No. 6, pp. 911— 925, DOI 10.1080/02522667.2017.1372137, ISSN: 2169-0103 Page: 911-925, Taylor and Francis Publications (ESCI, Web of Science).
8. Ranjeet Kumar Singh, Dilip Kumar Shaw, Sudhanshu Kumar Jha, Manish Kumar “A DWT-SVD Based Multiple Watermarking Scheme for Image-Based Data Security”. Journal of Information & Optimization Sciences, DOI 10.1080/02522667.2017.1372153, ISSN: 2169-0103, Page: 67-81, Vol 39 No1, Taylor and Francis Publications,(ESCI, Web of Science)
9. Ranjeet Kumar Singh, Dilip Kumar Shaw, “Experimental Studies of LSB Watermarking with Different Noise”, Eleventh International Multi-Conference on Information Processing-2015 (IMCIP-2015), Bangalore (SCOPUS)
10. Ranjeet Kumar Singh, Dilip Kumar Shaw, “Experimental Analysis of Impact of Noise on Various Edge Detection Techniques”. Proceedings of the World Congress on Engineering 2016 Vol I WCE 2016. London, U.K (SCOPUS)
11. Ranjeet Kumar Singh, Manish Kumar, Dilip Kumar Shaw,“Experimental Analysis of DWT based Digital Image Watermarking”. International Journal of control theory and applications. (UGC Approved Journal)
12. Ranjeet Kumar Singh, Deepak Gupta, Santosh Kumar Singh “Multi-level Image-Based Data Security Using Combined Approach of LSB-DCT Dual Watermarking” International Journal of Computer Applications(0975-8887) Volume 80-No 16, October 2013.
13. Deepak Gupta, Shikha Gupta, Ranjeet Kumar Singh, Abhishek Gaur “Level by Level Image-Based Data Security Approach” International Journal of Scientific & Engineering Research, Volume 3, Issue 11, November-2012 ISSN 2229-5518 (UGC Approved Journal).
14. Ranjeet Kumar Singh, Deepak Gupta, Shikha Gupta “A Secure Authentication Technique using Edge Detection in Watermarking” published in International Journal of Computer Applications (0975-8887), USA JAN 2013.
15. Deepika kumawart, Ranjeet Kumar Singh, Deepak Gupta, Shikha Gupta” impact of Denoising using Various Filters on QR Code” published In the International Journal of Computer Applications(0975-8887) Volume 63, FEB 2011.
16. Kumari Rinki, Pushpneel Verma, Ranjeet Kumar Singh, “A Novel Multiblock Region-Based Arnold Transformation for Image Watermarking Combined with DWT-PSO Technique ” Fifth international conference on internet of thing and connected technology(ICIoTCT 2020). From July 03 to 05, 2020, organized by the Indian Institute of Technology(IIT) Patna, India. (Scopus)
17. Ranjeet Kumar Singh, Anil Kumar Singh, Naveen Kumar, “ A recent survey of SVD and DWT based digital image watermarking theory and techniques: A Review”, International Conference on Big data, Machine learning and applications(BigDML-2019), during Dec16-19, 2019, organized by the national institute of technology, Silchar, India(Scopus)
18. Ranjeet Kumar Singh, Anil Kumar Singh, “ A Recent survey of DCT based digital image watermarking theory and technique: A Review”, Third international conference on advance information for computing research(ICAICR-2019) held during 15-16 June 2019 at Shimla, India (Scopus)
19. Ranjeet Kumar Singh, Dilip Kumar shaw, “A hybrid concept of cryptography and watermarking(LSB_DCT) for data security”, Third international conference on computing sciences held during 8-9 April 2016 organized by LPU Punjab. (Scopus)
20. Ranjeet Kumar Singh, Dilip Kumar shaw, Javed Alam, “Experimental studies of LSB watermarking with different noise”, Eleventh international conference on image and signal processing held on august 21-23, 2015 organized by the society of the information processing, Bengaluru and university visvervaraya college of engineering, Bangalore. (Scopus)
21. Ranjeet Kumar Singh, Dilip Kumar shaw, “A DWT-SVD based multiple watermarking schemes for image-based data security”, International conference on smart technology in computer and communications(SmartTech 2017) during 27-29, 2017, Organized by Amity institute of information technology Amity university Rajasthan, India.
22. Ranjeet Kumar Singh, Dilip Kumar shaw, “Experimental analysis of DWT based digital image watermarking “, second international conference on sustainable computing techniques in engineering science and management during Jan 27-28, 2017, organized by SN education society, India and URGCEE USA at Jain college of engineering Belagavi India.

• Paper presentation on ‘Verification and Testing Technology’ in National Conference MITS Dec-2010.
• Paper presentation on ‘Software Requirement Specification’ in National Conference NITM Jan-201
•  “Tag Based Social Image Retrieval Systems” using Neighbour Voting Algorithm IJERTVol. 3 - Issue 1 (January - 2014).
• "Significance of Software Testing & Quality Assurance through software testing life cycle" in Biyani International Conference (Sept 2015).
• “The Security issue of e-commerce & its Solution” in Biyani International Conference (Oct 2016).
• “Artificial Enviroment for Stressful mental health a review” in Biyani International Conference (Oct 2017).
•  “Compositional Performance of Winax over WiFi” in Biyani International Conference (Sept 2019).

→Research Publication

• Comprehensive Study of Wi-Fi Security and Challenges-IJSER, VOL 3, ISSUE 8 AUG 2012. ISSN - 2229-5518,Impact Factor-3.8,Page No.1-5
• A strategy for Package Transformation for Linux Environment-IJCTA,VOL, 3 ISSUE 4, AUG 2012, ISSN- 2229-6093, Impact Factor-2.804, Page No.1418-1421
• Study and Implementation of Multi Criterion Authentication Approach to Secure Mobile Payment System-IJESAT VOL 1, ISSUE 2, APRIL 2014, ISSN - 2250-3676, Impact Factor-4.98, Page No. 117-122
• A Review on Intrusion Detection Technique for Wireless Local Area Network-IJCSE ,VOL1, ISSUE 8, SEP 2014, ISSN -2348-8387, Impact Factor-2.162, Page No.22-26
• Cloud Computing Issues regarding Security, Application and Mobile Cloud Computing-IJARCSSE,VOL 5 ISSUE 3, JAN 2015, ISSN - 2277-128x, Impact Factor-2.084, Page No.403-406
• Impact of Cloud Computing in E-Learning- IJISET,VOL 4,ISSUE 1,JAN 2017, ISSN- 2348 - 7968,Impact Factor- 4.332, Page No.231-234
• A Review: Cryptographically Efficient, Dynamically Strong, Securely Proven Optimal And Hybrid Hierarchal Access Control System- IJCSIT,VOL 8 ,ISSUE 1, JAN 2017, ISSN- 0975–9646, Impact Factor-3.32 , Page No.136-140.
• A Survey on Encryption Techniques Using Image- National Conference on Data, Data mining & Big Data 2017,21-22 FEB 2017, Page No.125-128
• A Novel Approach of Digital Watermarking for Marking Bits in data Bytes - National Conference on Data, Data mining & Big Data 2017, 21-22 FEB 2017, Page No.247-251
• A Novel Approach –Embedded Hierarchical Access Control, NCERAEST-2019 Page No-16, and NCERAEST-013
• A New Authentication Strategy for Multiservice Authorization over Cloud, NCERAEST-2019, Page No-17, NCERAEST-013.
• Centralized Health Monitoring System, NCERAEST-2019, Page No-17, NCERAEST-013.
• Machine Learning Approach for instruction Detection in Computer Network, NCERAEST-2019, Page No-23, and NCERAEST-013.

• Achieving CIA using Hierarchical Access Control : A Review, International Conference on Engineering, Mathematical & Computational Intelligence (ICEMCI19) Jabalpur Engineering College in association with Walchand College of Engineering Sangli & FATER Academy of India sponsored by TEQIP-III 21-23 December 2019
• Access Control Model using Machine Learning and Two Fish Encryption in IOT Group Communication, Wesleyan Journal of Research,Vol 31No 1,May 2021 ISSN NOo0975-1386
• A Hierarchical Multi-authority Access Control Scheme for Secure and Efficient    Data Sharing in Cloud Storage Journal of Strategic Security (JSS), Impact Factor 6.253, Scopus and Q4, ISSN: 1944-0464(print) ISSN: 1944-0472 (online), The Berkeley Electronic Press, manuscript ID- Manuscript 210102385,Volume 5, Issue 1,   126-147, 06 March 2022. DOI: https://doi.org/10.5038/1944-0472.15.1.1970.Available at: https://digitalcommons.usf.edu/jss/vol15/iss1/6
• Blockchain based Hierarchical Semi-Decentralized approach using IPFS for Secure and Efficient Data Sharing, Journal of King Saud University - Computer and Information Sciences, Elsevier Saudi Arabia, SCIE and Scopus Indexed Journal Q1,ISSN: 1319-1578(print),Volume 34, Issue 4, pp.1523-1534, April 2022.ImpactFactor13.473,https://doi.org/10.1016/j.jksuci.2022.01.019. (https://www.sciencedirect.com/science/article/pii/S1319157822000325)

• Adaptive Access Control Model using Risk Based Technique in Dynamic Environment,3rd International Conference on Sustainable and Innovative Solutions for Current Challenges in Engineering & Technology ICSISCET 2021) Madhav Institute of Technology & Science, Gwalior, Madhya Pradesh, India, publication in the proceedings to be published in Springer Book Series, ‘Algorithms for Intelligent Systems (AIS), Series ISSN2524-7565 Series E-ISSN 2524-7573  held on November13-14, 2021,pp.XX, 480.
• Quorum and Non-quorum based Hierarchical Multi-authority Access Control Scheme for Secure Data Sharing in Cloud Based Environment, Sadhana -Academy Proceedings in Engineering Sciences, Indian Academy of Sciences, Bangalore, India. Springer, SCI and Scopus Indexed Journal,Q2, ISSN 0256-2499 (print), EISSN 0973-7677 (online), Accepted with minor revision on 31 October 2021 ; manuscript ID- SADH-D-21-01104,Second revision submitted on 3 March 2022
• An Efficient and Accurate Detection of Fake News using Capsule Transient Auto Encoder, SCIE-PAPER-ACM Transactions on Asian and Low-Resource Language Information Processinghttps://doi.org/10.1145/3589184. ISSN:2375-4699,EISSN:2375-4702
• Identification of Driver Drowsiness Detection using a Regularized Extreme Learning Machine, Published in: 2023 Second International Conference on Electronics and Renewable Systems (ICEARS), Date of Conference: 02-04 March 2023.Date Added to IEEE Xplore: 05 April 2023, ISBN Information: Electronic ISBN: 979-8-3503-4664-0,Print on Demand(PoD) ISBN:979-8-3503-4665-7, DOI: 10.1109/ICEARS56392.2023.10085032,Publisher: IEEE Conference Location: Tuticorin, India.
• Hybrid Convolutional Neural Network and Extreme Learning Machine for Kidney Stone Detection, Published in: 2023 Second International Conference on Electronics and Renewable Systems (ICEARS), Date of Conference: 02-04 March 2023.Date Added to IEEE Xplore: 05 April 2023, ISBN Information: Electronic ISBN: 979-8-3503-4664-0,Print on Demand(PoD) ISBN:979-8-3503-4665-7, DOI: 10.1109/ICEARS56392.2023.10085032,Publisher: IEEE Conference Location: Tuticorin, India.
• Enhanced Artificial Algae Algorithm based Distributed Generation Placement for Voltage Profile Enhancement , Published in 2023 2nd International Conference on Applied Artificial Intelligence and Computing (ICAAIC), Date of Conference: 17-19 May 2023.Date Added to IEEE Xplore: 08 June 2023, Electronic ISBN: *978-1-6654-5630-2*.DVD ISBN:  *978-1-6654-5629-6*,Print on Demand(PoD) ISBN:  *978-1-6654-5631-9*.*DOI:*  1109/ICAAIC56838.2023.10140221,Publisher: IEEE Link: https://ieeexplore.ieee.org/document/10140221Publisher: IEEE Conference Location: Salem, India.

• Lal, Devesh Kumar, and Ugrasen Suman. "A Survey of Real Time Big Data Processing Algorithms." Proc. of Reliability and Risk Assessment in Engineering. Springer, Singapore, 2020, pp. 3-10.
• Lal, Devesh Kumar, and Ugrasen Suman. "SBASH Stack Based Allocation of Sheer Window Architecture for Real Time Stream Data Processing." International Journal of Data Analytics (IJDA), Vol. 1(1), January 2020, pp. 1-21.
• Lal, Devesh Kumar, and Ugrasen Suman. "Towards comparison of real time stream processing engines." Proc. of IEEE Conference on Information and Communication Technology, 2019, pp. 1-5.
• Lal, Devesh Kumar, and Ugrasen Suman. "An efficient algorithm for reducing the flow of real time data stream with least sampling error." International Journal of Big Data Intelligence, Vol. 7(4), 2020, pp. 186-193.
• Lal, Devesh Kumar, and Ugrasen Suman. "An Online Approach to Determine Correlation between Data Streams." Proc. of ACM/SPEC International Conference on Performance Engineering (ICPE), France, April 2021, pp. 1-7.
• Lal, Devesh Kumar and Ugrasen Suman, “An analytical approach towards data stream processing on smart society for sustainable development”, Accepted. Book chapter on Decision Analytics for Sustainable Development in Smart Society 5.0.
• Lal, Devesh Kumar and Ugrasen Suman, “A generalized framework for real time stream processing”, Communicated.
• Gehlod, Lalit, Vaibhav Jain, Mala Dutta, and D. K. Lal. "A Grid Based Robot Navigation by Using Priority Algorithm." International Journal of Advanced Research in Computer and Communication Engineering 2, no. 8 (2013).
• Gehlod, Lalit, Mala Dutta, and Devesh Kumar Lal. "Graph Traversal technique for Grid Based robot Navigation." International Journal of Advanced research in Computer and Communication Engineering 2, no. 7 (2013).

International Journals /Conferences/ Book Chapters

• Gagandeep Kaur and M. Bhattacharya, "Green Fault Tolerant AIoT-enabled Mobile Sink Data Collection Scheme in Sensor Networks," in IEEE Transactions on Vehicular Technology [SCI] (I.F.: 6.8)
• Gagandeep Kaur and  M. Bhattacharya, " Intelligent Fault Diagnosis for AIT based Smart Farming Applications” IEEE Sensors Journal, 2023. [SCI] (I.F.: 4.3)
• K.N.Tripathi, Gagandeep Kaur, N.Arora, R.Agrawal," An Efficient Mobile Edge Computing based Resource Allocation using Optimal Double Weighted Support Vector Transfer Regression. Journal of Grid Computing 21, 49 (2023).  [SCIE] (I.F.: 5.5)
• Gagandeep Kaur and P. Chanak, "An Intelligent Fault Tolerant Data Routing Scheme for Wireless Sensor Network-assisted Industrial Internet of Things," in IEEE Transactions on Industrial Informatics, 2022 [SCI] (I.F:12.3)
• Gagandeep Kaur, P. Chanak, M. Bhattacharya, “A Green Hybrid Congestion Management Scheme for IoT-enabled WSNs,” IEEE Transactions on green communications and networking, 2022  [SCI]  (I.F:4.8)
• Gagandeep Kaur and P. Chanak, "An Energy Aware Intelligent Fault Detection Scheme for IoT-Enabled WSNs," in IEEE Sensors Journal, vol. 22, no. 5, pp. 4722-4731, 1 March1, 2022 [SCI] (I.F. 4.3)
• Gagandeep Kaur, P.Chanak, M.Bhattacharya, "Obstacle Aware Intelligent Fault Detection Scheme for Industrial Wireless Sensor Networks", IEEE Transactions on Industrial Informatics, 2022 [SCI] (I.F. 12.3)
• Gagandeep Kaur, P. Chanak, M. Bhattacharya, “Energy-Efficient Intelligent Routing Scheme for IoT-enabled WSNs,” 
  IEEE Internet of Things Journal, 8 (14), 2021, pp. 11440 - 11449. [SCI] (I.F.: 10.6)
• Gagandeep Kaur, P.Chanak, M.Bhattacharya, “Memetic Algorithm Based Data Gathering Scheme for IoT-Enabled Wireless Sensor Networks,” IEEE Sensors Journal, 20(19), 2020 pp. 11725-11734. [SCI] (I.F.: 4.3)
• P. Verma, Gagandeep Kaur, Rajendra Machavaram  and M.Bhattacharya “Intelligent Cotton Ball Maturity Prediction Model for Smart Agriculture” 2nd International Conference on Computing and Communication Networks(ICCCN-2022) organized by MANCHESTER METROPOLITAN UNIVERSITY, UNITED KINGDOM,20th NOV, 2024.
• D. V. Sarath Chandra, Gagandeep Kaur and M. Bhattacharya, "Smart Irrigation Management System for Precision Agriculture," 2023 International Conference on Advances in Intelligent Computing and Applications (AICAPS), Kochi, India, 2023, pp. 1-5, doi: 10.1109/AICAPS57044.2023.10074171.
• Shrivastava, R.K., Singh, S.P., Banerjee, A. and Gagandeep Kaur., 2023. Heartbeat Classification Using Sequential Method. In Proceedings of Data Analytics and Management: ICDAM 2022 (pp. 293-300). Singapore: Springer Nature Singapore. organized by Karkonosza University of Applied Science, Poland 2022  https://link.springer.com/chapter/10.1007/978-981-19-7615-5_26  
•  Shrivastava, R.K., Singh, S.P. and Gagandeep Kaur., 2023. Machine Learning Models for Alzheimer’s Disease Detection Using OASIS Data. In Data Analysis for Neurodegenerative Disorders (pp. 111-126). Singapore: Springer Nature Singapore https://link.springer.com/chapter/10.1007/978-981-99-2154-6_6 
•  Sharma. P,  Gupta . M, Gagandeep Kaur, 2022 "Blockchain in pharmaceutical sector" in book entitled "Blockchain Technology in e-Healthcare Management" pp. 59 –88 IET Digital Library https://digital library.theiet.org/content/books/10.1049/pbhe048e_ch3  
• Gagandeep Kaur and P. Chanak, "A Resource Aware Routing Algorithm for IoT-enabled WSNs," 2021 IEEE Bombay Section Signature Conference (IBSSC), Gwalior, India, 2021, pp. 1-4, doi: 10.1109/IBSSC53889.2021.9673450
• P. Yadav, P. Singh, Gagandeep Kaur and P. Chanak, "An energy efficient hierarchical routing algorithm for IoT-enabled WSNs," 2021 Fourth International Conference on Computational Intelligence and Communication Technologies (CCICT), Sonepat, India, 2021, pp. 302-307, doi: 10.1109/CCICT53244.2021.00063.
• S. D. Sheth, Y. Verma, Gagandeep Kaur and P. Chanak, "An energy optimized routing algorithm for IoT-enabled WSN," 2021 Fourth International Conference on Computational Intelligence and Communication Technologies (CCICT), Sonepat, India, 2021, pp. 308-312, doi: 10.1109/CCICT53244.2021.00064 
• N. Tripathi, S. Gupta, R. Agrawal, Gagandeep Kaur, and R. K. Singh. "Analysis of Various Security Threats and Defence Mechanisms for the Vehicular Ad-hoc Networks (VANETs)." In 2023 3rd International Conference on Innovative Sustainable Computational Technologies (CISCT), pp. 1-6. IEEE, Dec 2023
•  S. Gupta, Gagandeep Kaur and P. Chanak, "A deep Bi-LSTM based Fault Detection Algorithm for WSNs," 2021 IEEE Bombay Section Signature Conference (IBSSC), Gwalior, India, 2021, pp. 1-5, doi: 10.1109/IBSSC53889.2021.9673347.
• Gagandeep Kaur, R. Shrivastava and U. Gupta Blockchain Integration with Internet of Things (IoT) Based Systems for Data Security: A Review' Organized By: London Metropolitan University, London, UK (Venue Partner) in association with Karkonosze University of Applied Sciences, Jelenia Gora, Poland, Europe& Politécnico de Portalegre, Portugal, Europe ICDAM 2023
• Gagandeep Kaur, M.Bhattacharya, P.Chanak, “Energy Conservation Schemes of Wireless Sensor Networks for IoT Applications: A Survey,” IEEE International Conference on Information and Communication Technology, 2019, pp. 1-6. 
• Gagandeep Kaur, T. Hamsapriya and P. Lalwani, "A new energy efficient queue based multipath load balancing in Ad hoc network," 2014 International Conference on Computer Communication and Informatics, Coimbatore, India, 2014, pp. 1-6, doi: 10.1109/ICCCI.2014.6921768.
• Gagandeep Kaur, T.Hamsapriya, “ Survey of load balancing and sharing in MANET”, National Conference on Advances in Engineering Research & Applications (AERA ), MPCST, IETE March 2013.
• Gagandeep Kaur , R. Arora, “HSX- Fusion Energy”, National Conference on Emerging trend in power electronics and drives, AICTE sponsored IIP Cell,2007

Referred Journal:

1. Samta Jain Goyal, Rajeev Goyal, Vinay Kumar Singh, Rajesh Arunachalam, and Kuldeep Narayan Tripathi. "Privacy‑preserving cross‑domain recommendation using hybrid federated transfer learning", Multimedia Tools and Applications, June 2024 [SCI-E indexed] [Springer, IF: 3.6].
2. Rohit Agrawal, Navneet Pratap Singh, Nitin Arvind Shelke, Kuldeep Narayan Tripathi, and Ranjeet Kumar Singh. "CbcErDL: Classification of breast cancer from mammograms using enhance image reduction and deep learning framework", Multimedia Tools and Applications, Feb 2024 [SCI-E indexed] [Springer, IF: 3.6].
3. Rajesh Arunachalam, D. Jayashree, Kuldeep Narayan Tripathi, A. Punitha, S. Padmapriya, and Amit Arora. "Development of Dual Cluster Head Selection Mechanism in WSN based on IoT for Energy-Efficient Data Transmission in Smart City Applications." Ad Hoc & Sensor Wireless Networks, Jan 2024 [SCI-E indexed].
4. Rohit Agrawal, Kuldeep Narayan Tripathi, Ranjeet Kumar Singh, Nitin Arvind Shelke, and Umesh Gupta. "A Secure Image Authentication Technique based on Sparse Approximation and Quantum Mechanism", Digital Signal Processing, Feb 2024 [SCI-E indexed] [Elsevier, IF: 2.9].
5. Shabana Urooj, Rajesh Arunachalam, Mohamad A. Alawad, Kuldeep Narayan Tripathi, D. Sukumaran, and Poonguzhali Illango. "An Effective Model for Network Selection and Resource Allocation in 5G Heterogeneous Network using Hybrid Heuristic-assisted Multi-Objective Function." Expert Systems with Applications, Jan 2024 [SCI-E indexed] [Elsevier, IF: 8.5].
6. Kuldeep Narayan Tripathi, Gagandeep Kaur, Nitin Arora, and Rohit Agrawal. "An efficient mobile edge computing based resource allocation using optimal double weighted support vector transfer regression." Journal of Grid Computing, Aug 2023 [SCI-E indexed] [Springer, IF: 5.5].
7. Kuldeep Narayan Tripathi, and S. C. Sharma, “An Optimal Trust and Secure Model using Deep Metric Learning for Fog-based VANET”, Transactions on Emerging Telecommunications Technologies, June 2023. [SCI-E indexed] [Wiley, IF: 3.6].
8. Kuldeep Narayan Tripathi, Ashish Mohan Yadav, Surendra Nagar, and S. C. Sharma, “ReTrust: reliability and recommendation trust-based scheme for secure data sharing among internet of vehicles (IoV)”, Wireless Networks, April 2023. [SCI-E indexed] [Springer, IF: 3.0].
9. Kuldeep Narayan Tripathi, Ashish Mohan Yadav, and S. C. Sharma, “TREE: TRust-Based Authenticated and Secure Dissemination of Emergency Event Information for the Network of Connected Vehicles,” Arabian Journal for Science and Engineering, vol. 103, Feb 2022. [SCI-E indexed] [Springer, IF: 2.9].
10. Ashish Mohan Yadav, Kuldeep Narayan Tripathi, and S. C. Sharma, “An opposition-based hybrid evolutionary approach for task scheduling in fog computing network,” Arabian Journal for Science and Engineering, 2022. [SCI-E indexed] [Springer, IF: 2.9].
11. Kuldeep Narayan Tripathi, Ashish Mohan Yadav, and S. C. Sharma, “Fuzzy and Deep Belief Network Based Malicious Vehicle Identification and Trust Recommendation Framework in VANETs,” Wireless Personal Communications, vol. 89, pp. 58–77, June 2019. [SCI-E indexed] [Springer, IF: 2.2].
12. Ram Kumar, Kuldeep Narayan Tripathi, and Subhash C Sharma. Optimal Query Expansion Based on Hybrid Group Mean Enhanced Chimp Optimization Using Iterative Deep Learning. Electronics. 2022; 11(10):1556. [SCI-E indexed] [Springer, IF:2.6].
13. Ashish Mohan Yadav, Kuldeep Narayan Tripathi, and S. C. Sharma, “A bi-objective task scheduling approach in fog computing using hybrid fireworks algorithm,” The Journal of Supercomputing, vol. 103, Feb 2022. [SCI-E indexed] [Springer, IF: 3.3].
14. Ashish Mohan Yadav, Kuldeep Narayan Tripathi, and S. C. Sharma, “An enhanced multi-objective fireworks algorithm for task scheduling in fog computing environment,” Cluster Computing, vol. 103, Feb 2022. [SCI-E indexed] [Springer, IF: 4.4].
15. Kuldeep Narayan Tripathi, S. C. Sharma, “A trust-based model (TBM) to detect rogue nodes in vehicular ad-hoc networks (VANETS),” International Journal of Systems Assurance Engineering and Management, vol. 11, no. 1, pp. 426 – 440, April 2020. [ESCI indexed].
16. Gurpreet Singh Panesar, Kuldeep Narayan Tripathi, Jyoti L. Bangare, Rahul Neware, and Skanda Moda Gururajarao, “Handling research issues for big data extraction in the application of Internet of Vehicles (IoV),” International Journal of Systems Assurance Engineering and Management, Jan 2022. [ESCI indexed]. 
17. Kuldeep Narayan Tripathi, Ashish Mohan Yadav, and S. C. Sharma, “DDOS: data dissemination with optimized and secured path using modified particle swarm optimization in vehicular communication network (VCN),” International Journal of Information Technology, Sep. 2020 [Scopus indexed] [Springer].
18. Neelkamal Upadhyay, Kuldeep Tripathi, Ashish Mishra, "A Survey of Association Rule Hiding Approaches" International Journal of Computer Science and Information Technology & Security (IJCSITS) (2249-9555) Vol. 5, No. 01, pp. 190-195, February 2015.
19. Neelkamal Upadhyay, Kuldeep Tripathi, Ashish Mishra," Privacy Preservation in Data Mining by Clustering of Sensitive Association Rule, " International Journal of Modern Communication Technologies & Research (IJMCTR) (2321-0850), Volume 02– Issue 11, pp. 26-30, November 2014.
20. Sandeep Gupta, Kuldeep Narayan Tripathi, "Register Liveness Analysis to Enhance Thread Occupancy",   Engineering and Technology Journal for Research and Innovation (ETJRI), ISSN 2581-8678, Volume V, Issue I, Dec 2022.

International Conferences:

1. Kuldeep Narayan Tripathi, Jaideep Patel, Rohit Agrawal, Ranjeet Kumar Singh, and Aditya Shastri. "An ANOVA Based Analysis of Routing Techniques for Improving QoS in Flying Ad-Hoc Networks (FANETs)." In 2023 2nd International Conference on Device Intelligence, Computing and Communication Technologies (DICCT), pp. 524-529. IEEE, Mar 2024.
2. Kuldeep Narayan Tripathi, Sandeep Gupta, Rohit Agrawal, Gagandeep Kaur, and Ranjeet Kumar Singh. "Analysis of Various Security Threats and Defence Mechanisms for the Vehicular Ad-hoc Networks (VANETs)." In 2023 3rd International Conference on Innovative Sustainable Computational Technologies (CISCT), pp. 1-6. IEEE, Dec 2023.
3. N. Arora, P. Yadav, K. Tripathi and S. Sharma, "Performance of CNN for different facial expression images with varying input dataset sizes," 2023 International Conference on Device Intelligence, Computing and Communication Technologies, (DICCT), Dehradun, India, 2023, pp. 351-355, doi: 10.1109/DICCT56244.2023.10110137.
4. Kuldeep Narayan Tripathi, Ashish Mohan Yadav, S. C. Sharma, “DOSP: Data dissemination with Optimized and Secured Path for Ad-hoc Vehicular Communication Networks”, 17^th IEEE International Conference on Mobile Ad-Hoc and Smart Systems (IEEE MASS-2020).
5. Kuldeep Narayan Tripathi, Gourav Jain, Ashish Mohan Yadav, S. C. Sharma, “Entity-Centric Combined Trust (ECT) algorithm to detect packet dropping attack in vehicular ad-hoc Networks (VANETs)”. 5th International Conference on Computing in Engineering and Technology-2020.
6. Ashish Mohan Yadav, S. C. Sharma, Kuldeep N Tripathi, “A Two-step technique for effective scheduling in cloud-fog computing paradigm”, 5th International Conference on Computational Intelligence and Communication Technology- (CICT-2019), Advances in Intelligent System and Computing (Springer).
7. Kuldeep N Tripathi, S.C Sharma, Gourav Jain, “A New Reputation Based Algorithm (RBA) to Detect Malicious Nodes in Vehicular Ad-hoc Networks (VANETs)”, 3rd International Conference Soft Computing: Theories and Applications, SoCTA 2018.
8. Gourav Jain, Kuldeep N Tripathi, Tripti Mahara, “A Survey of Similarity Measures for Collaborative Filtering based Recommender System)”, 3rd International Conference Soft Computing: Theories and Applications, SoCTA 2018.
9. Kuldeep N Tripathi, S.C Sharma, Ashish Mohan Yadav “Analysis of various trust-based security algorithm in vehicular ad-hoc networks (VANETs)”, International Conference on Recent Innovations in Electrical, Electronics & Communication Engineering - (ICRIEECE), IEEE International Conference on 2018 July 27.
10. K. V. Arya and Kuldeep Narayan Tripathi, "Power-aware and secure routing in mobile and ad-hoc networks," in Industrial and Information Systems (ICIIS), 2013. 8th IEEE International Conference on, pp. 477-482, 17-20 Dec. 2013.

Journals

• Agrawal, R., Singh, N.P., Shelke, N.A. et al. CbcErDL: Classification of breast cancer from mammograms using enhance image reduction and deep learning framework. Multimed Tools Appl (2024). https://doi.org/10.1007/s11042-024-19616-8. [Springer, SCIE] [Q1, IF:3.0].

• Rohit Agrawal, Kuldeep Narayan Tripathi, Ranjeet Kumar Singh, Umesh Gupta, “A Secure Image Authentication Technique based on Sparse Approximation and Quantum Mechanism”, Digital Signal Processing, 104419, doi: https://doi.org/10.1016/j.dsp.2024.104419. [Elsevier, SCIE] [Q2, IF:2.9].
• Rohit Agrawal,  Kapil Ahuja,  Dhaarna Maheshwari, Mohd Ubaid Shaikh, Mohamed Bouaziz, And Akash Kumar, “ParaLarH: parallel FPGA router based upon Lagrange heuristics”, IEEE Access, https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10301420, doi: 10.1109/ACCESS.2023.3328769, Sep 2023. [IEEE, SCIE] [Q1, IF:3.9].

• Kuldeep Narayan Tripathi, Gagandeep Kaur, Nitin Arora, and Rohit Agrawal, “An Efficient Mobile Edge Computing based Resource Allocation using Optimal Double Weighted Support Vector Transfer Regression”, Journal of Grid Computing. [Springer, SCIE] [Q1, IF:5.5]. Doi: https://doi.org/10.1007/s10723-023-09680-z

• R. Agrawal and K. Ahuja, “CSIS: Compressed Sensing-based Enhanced-Embedding Capacity Image Steganography Scheme”, IET Image Processing, WILEY, 15, 1909–1925, 2021, doi: https://doi.org/10.1049/ipr2.12161. [Impact Factor: 1.773]

• Agrawal R, Ahuja K, Steinbach MC, Wick T. 2022. SABMIS: sparse approximation based blind multi-image steganography scheme. PeerJ Computer Science 8:e1080 https://doi.org/10.7717/peerj-cs.1080

• R. Agrawal, K. Ahuja, C. H. Hoo, T. D. A. Nguyen and A. Kumar, “ParaLarPD: Parallel FPGA Router using Primal-Dual Sub-Gradient Method”, Electronics, MDPI, 8, 1439, 2019, doi: https://doi.org/10.3390/electronics8121439. [Impact Factor: 2.690]

• A. K. Pal, K. Naik and R. Agrawal, “A Steganography Scheme on JPEG Compressed Cover Image with High Embedding Capacity”, The International Arab Journal of Information Technology, 16(1), 116–124, 2019. doi: 10.34028/iajit [Impact Factor: 1.12]

• K. Naik, A. K. Pal and R. Agrawal, “Selective Image Encryption using Singular Value Decomposition and Arnold Transform”, The International Arab Journal of Information Technology, 15(4), 739–747, 2018. doi: 10.34028/iajit [Impact Factor: 1.12]

Journal Paper (Technical Report)

R. Agrawal, K. Ahuja, D. Maheshwari, A. Kumar and M. Bouaziz, “ParaLarH: Parallel FPGA Router
based upon Lagrange Heuristics”, Preprint arXiv:2010.11893, October 2020.

Book Chapter

R. Agrawal, A. A. Shastri, K. Ahuja, A. Perreard and J. Gujral, “An Apache Giraph Implementation of Distributed ADMM for Solving LASSO Problems”, In: A. Tiwari et al. (Eds.). Soft Computing for Problem Solving: Proc. of SocProS’20, Springer, Indore (India), pp 547–556, 2021, doi: 10.1007/978 −981 − 16 − 2712 − 5 44 (book chapter).

Refereed Conference

G. Kitukale, N. A. Shelke, R. Agrawal, N. P. Singh and S. Quamara, "Predicting Knee Osteoarthritis using Deep Neural Network," 2024 IEEE 9th International Conference for Convergence in Technology (I2CT), Pune, India, 2024, pp. 1-6, doi: 10.1109/I2CT61223.2024.10543978.

K. N. Tripathi, J. Patel, R. Agrawal, R. K. Singh and A. Shastri, "An ANOVA Based Analysis of Routing Techniques for Improving QoS in Flying Ad-Hoc Networks (FANETs)," 2024 2nd International Conference on Device Intelligence, Computing and Communication Technologies (DICCT), Dehradun, India, 2024, pp. 524-529, doi: 10.1109/DICCT61038.2024.10532904.

Tripathi, K. N., Gupta, S., Agrawal, R., Kaur, G., & Singh, R. K. (2023, September). Analysis of Various Security Threats and Defence Mechanisms for the Vehicular Ad-hoc Networks (VANETs). In  sep 2023 3rd International Conference on Innovative Sustainable Computational Technologies (CISCT) (pp. 1-6). IEEE.doi: 10.1109/CISCT57197.2023.10351411

A. S. Jadon, M. Parmar and R. Agrawal, "Hinglish Sentiment Analysis: Deep Learning Models for Nuanced Sentiment Classification in Multilingual Digital Communication," 2024 2nd International Conference on Device Intelligence, Computing and Communication Technologies (DICCT), Dehradun, India, 2024, pp. 318-323, doi: 10.1109/DICCT61038.2024.10533057.

 K. Rahul, R. Agrawal and A. K. Pal, “Color image quantization scheme using DBSCAN with K-means algorithm”, In Proceedings of the 1st International Conference on Advanced Computing, Networking, and Informatics (ICACNI 2013), Springer, 1037–1045, 2014, doi: 10.1007/978 − 81 − 322 − 1665 − 0 106.

Posters

• Parallel FPGA Router using Subgradient and Steiner tree, Industry Academia Conclave-2017 (IAC-2017),
IIT Indore, Sep 05-07, 2017.

Publications in Journals

1. Nishant Jain and Prasanta K Jana “LRF: A logically randomized forest algorithm for classification and regression problems”, Expert Systems with Applications, Elsevier, Volume 213 Part-C, AN 119225, 2022. https://doi.org/10.1016/j.eswa.2022.119225. (Q1, SCIE, IF-8.665)

2. Nishant Jain and Prasanta K Jana “XRRF: An eXplainable Reasonably Randomised Forest algorithm for classification and regression problems”, Information Sciences, Elsevier, Volume 613 pp. 139-160, 2022. https://doi.org/10.1016/j.ins.2022.09.040 (Q1, SCIE, IF-8.233)

3. Nishant Jain, Abhinav Tomar, and Prasanta K Jana “A novel scheme for employee churn problem using multi-attribute decision making approach and machine learning”, Journal of Intelligent Information Systems, Springer, Volume 56 pp. 279-302, 2021. https://doi.org/10.1007/s10844-020-00614-9 (Q2, SCIE, IF-3.4)

Communicated: (Under Review)

1. Nishant Jain and Prasanta K Jana “DeRF: A Diversity-enriched Random Forest Algorithm ”, IEEE Transactions on Neural Networks and Learning Systems, Q1, SCI, IF-10.4, IEEE, pp. 0-00, 0000*.

2. Mayank Kumar Jain, Dinesh Gopalani, Yogesh Kumar Meena, and Nishant Jain “Implementation of a Novel Divide and Conquer approach-based Fake News Detector for News Sources”, Neural Computing and Applications, Q1, SCI, IF-6.0, SPRINGER, pp. 0-00, 0000*.

Publications in Conference

1. Kanav Gupta, Chirag Paul, and Nishant Jain “Early Autism Spectrum Disorder Prediction using Fine-Tuned Bernoulli’s Naive Bayes Algorithm”, International Conference on Computation of Artificial Intelligence & Machine Learning (ICCAIML), Springer Manipal University Jaipur, Jaipur, Rajasthan, India.

2. Nishant Jain, and Shipra Shukla “SHAPRFs: SHapely Additive eXplanations based Random Forests algorithm for classification problems”, International Conference on Frontiers in Computing and Systems (COMSYS), Springer Indian Institute of Technology, Mandi, Himachal Predesh, India.

3. Nishant Jain, Abhinav Tomar, and Prasanta K Jana “Novel Framework for Performance Prediction of Small and Medium Scale Enterprises: A Machine Learning Approach”, International Conference on Advances in Computing, Communications and Informatics (ICACCI), IEEE, pp. 42-47, 2018. DOI:10.1109/ICACCI.2018.8554747

• D. K. Dixit, A. Bhagat, and D. Dangi, “Automating fake news detection using ppca and levy flight-based lstm,” Soft Computing, vol. 26, no. 22, pp. 12 545–12 557, 2022. (SCIE, IF: 4.1, Q2)
• D. K. Dixit, A. Bhagat, and D. Dangi, “An accurate fake news detection approach based on a levy flight honey badger optimized convolutional neural network model,” Concurrency and Computation: Practice and Experience, vol. 35, no. 1, e7382, 2023. (SCIE, IF: 2, Q2)
• D. Dangi, S. T. Chandel, D. K. Dixit, S. Sharma, and A. Bhagat, “An efficient model for sentiment analysis using artificial rabbits optimized vector functional link network,” Expert Systems with Applications, vol. 225, p. 119 849, 2023. (SCIE, IF: 8.6, Q1)
• D. Dangi, A. Bhagat, and D. K. Dixit, “Sentiment analysis of social media data based on chaotic coyote optimization algorithm based time weight-adaboost support vector machine approach,” Concurrency and Computation: Practice and Experience, vol. 34, no. 3, e6581, 2022. (SCIE, IF: 2, Q2)
• D. Dangi, D. K. Dixit, and A. Bhagat, “Sentiment analysis of covid-19 social media data through machine learning,” Multimedia Tools and Applications, vol. 81, no. 29, pp. 42 261–42 283, 2022. (SCIE, IF: 3.6, Q2)
• D. K. Dixit, A. Bhagat, and D. Dangi, “Fake news classification using a fuzzy convolutional recurrent neural network,” Computers, Materials & Continua, vol. 71, no. 3, 2022. (SCIE, IF: 3.77, Q2)
•  D. Dangi, A. Bhagat, and D. K. Dixit, “Sentiment analysis on social media using genetic algorithm with cnn.,” Computers, Materials & Continua, vol. 70, no. 3, 2022. (SCIE, IF: 3.77, Q2)

Conference Proceedings:

• D. Dangi, D. K. Dixit, A. Bhagat, R. Nair, and N. Verma, “Analyzing the sentiments by classifying the tweets based on covid-19 using machine learning classifiers,” in 2021 IEEE International Conference on Technology, Research, and Innovation for Betterment of Society (TRIBES), IEEE, 2021, pp. 1–6.
• D. K. Dixit, A. Bhagat, and D. Dangi. "A comparative analysis for detecting fake news using supervised learning algorithms." AIP Conference Proceedings. Vol. 2900. No. 1. AIP Publishing, 2024.
• D. Dangi, S. Sharma and D. K. Dixit, "An Effective Deep Learning Prediction Model for the COVID-19 Pandemic in India," 2023 2nd International Conference on Ambient Intelligence in Health Care (ICAIHC), Bhubaneswar, India, 2023, pp. 1-4, doi: 10.1109/ICAIHC59020.2023.10431481.
• D. K. Dixit, and A. Bhagat, "Fake News Classification Using Fuzzy Based Deep Convolutional Neural Networks (FDNN) on Social Media Data". AIJR Abstracts, 2022, p.63.

Books Chapters:

• D. Dangi, D. Dixit, and A. Bhagat, “Cloud based security analysis in body area network for health care applications,” in Cloud Security, CRC Press, 2021, pp. 203–222.

Research Publications:

International Journals (Published)

Praphula Kumar Jain, Rajendra Pamula, and Gautam Srivastava. ”A systematic literature review on machine learning applications for consumer sentiment analysis using online reviews”, Computer Science Review, Elsevier, SCIE, Impact factor 7.87, 2021.

Arushi Jain, Annavarapu Chandra Sekhara Rao, Praphula Kumar Jain, and Yu-Chen Hu. ”Optimized levy flight model for heart disease prediction using CNN framework in big data applications”, Expert System with Applications, Elsevier, SCIE, Impact factor 8.66, 2023.

Praphula Kumar Jain, Waris Quamer, and Rajendra Pamula, ”Consumer sentiment analysis with aspect fusion and GAN-BERT aided adversarial learning”, Expert Systems, Wiley, SCIE, Impact factor 2.81, 2023.

Dilli Babu Salvakkam, Vijayalakshmi Saravanan, Praphula Kumar Jain, and Rajendra Pamula ”Enhanced Quantum-Secure Ensemble Intrusion Detection Techniques for Cloud Based on Deep Learning”,Cognitive Computation, Springer, SCIE, Impact factor 4.89, 2023.

Aparna Chaparala, Praphula Kumar Jain, Hanen Karamti, and Walid Karamti, ”Monitor the Strength Status of Buildings Using Hybrid Machine Learning Technique”, IEEE Access, IEEE, SCIE, Impact factor 3.47, 2023.

Bhaskar Kapoor, Bharti Nagpal, Praphula Kumar Jain, Ajith Abraham, Lubna Abdelkareim Gabralla ”Epileptic Seizure Prediction Based on Hybrid Seek Optimization Tuned Ensemble Classifier Using EEG Signals”, Sensors, MDPI, SCIE, Impact factor 4.05, 2023.

Praphula Kumar Jain, Sandeep Inuganti, and Rajendra Pamula ” A Novel Deep Learning Approach to Classify Heartbeats Audio Data”, Wirelesss Personal Communications, Springer, SCIE, Impact factor 2.017, 2023.

Sandeep Rathor, Subhash Chand Agrawal, Robin Singh Bhadoria, Praphula Kumar Jain, ” Secure and Embedded Processing Framework for Payload Scattering in Image Steganography with Low Computation Time”, Wirelesss Personal Communications, Springer, SCIE, Impact factor 2.017, 2023.

Praphula Kumar Jain Gautam Srivastava, Jerry Chun-Wei Lin, and Rajendra Pamula.”Unscrambling Customer Recommendations: A Novel LSTM Ensemble Approach in Airline Recommendation Prediction Using Online Reviews”, IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS, IEEE, SCIE, Impact factor 4.74, 2022.

Praphula Kumar Jain, Waris Quamer, Rajendra Pamula, and Vijayalakshmi Saravana. ”SpSAN: Sparse SelfAttentive Network based Aspect-aware model for Sentiment Analysis”, Journal of Ambient intelligent and humanized computing , Springer, SCIE, Impact factor 7.10, 2021.

Praphula Kumar Jain, Arjav Patel, Rajendra Pamula, and Saru Kumari.”Predicting airline customers’ recommendations using qualitative and quantitative contents of online reviews”, Multimedia Tools and Applications, Springer, SCIE, Impact factor 2.75.

Praphula Kumar Jain, Waris Quamer, Vijayalakshmi Saravanan, and Rajendra Pamula,”Employing BERTDCNN with Sentic Knowledge Base for Social Media Sentiment Analysis”, Journal of Ambient intelligent and humanized, Springer, SCIE, Impact factor 7.10, 2022.

Praphula Kumar Jain, Vijayalakshmi Saravana, and Rajendra Pamula. ”A Hybrid CNN-LSTM: A Deep learning approach in explaining consumer sentiment by qualitative user generated contents”, ACM Transactions on Asian and Low Resource Language Information Processing, ACM, SCIE, Impact factor 1.41, 2021.

Praphula Kumar Jain, Ephrem Admasu Yekun, and Rajendra Pamula,”Predicting Consumer Recommendations Decisions from social media contents using Multi-Label Ensemble Model”, Journal of Supercomputing, Springer, SCIE, Impact factor 2.47.

Praphula Kumar Jain, Ephrem Admasu Yekun, Rajendra Pamula, Gautam Srivastava Amjan Shaik. ”Consumer recommendation prediction in online reviews using Cuckoo optimized machine learning models”, Computers & Electrical Engineering, Elsevier, SCIE, Impact factor 3.81, 2021.

Praphula Kumar Jain, Rajendra Pamula, and Sarfraj Ansari. ”A Supervised machine learning approach for the Credibility Assessment of User-Generated Content”, Wirelesss Personal Communications, Springer, SCIE, Impact factor 1.67, 2021.

Praphula Kumar Jain, Mani Shankar Bajpai, and Rajendra Pamula. ”A Modified DBSCAN Algorithm for Anomaly Detection in Time-series Data with Seasonality”, International Arab Journal of Information Technology, CCIS, SCIE, Impact factor 0.667, 2021.

Shiddharth Shukla, Praphula Kumar Jain, Ch Ramesh Babu, and Rajendra Pamula. ”A Multivariate Regression Model for Identifying, Analyzing and Predicting Crimes”, Wirelesss Personal Communications, Springer, SCIE, Impact factor 1.67, 2020.

Praphula Kumar Jain, Waris Quamer, Arpit Rai, Vijayalakshmi Saravana, Rajendra Pamula, and Chiranjeev Kumar. ”SACNN : Self-Attentive Convolutional Neural Network Model for Natural Language Inference”, ACM Transactions on Asian and Low Resource Language Information Processing, ACM, SCIE, Impact factor 1.41, 2020.

Amit Singh, Rajendra Pamula, Praphula Kumar Jain, and Gautam Srivastava.”The Best-Choice VehicularRelay Selection Scheme for V2V and V2I Transmission”, Soft Computing, Springer, SCIE, Impact factor 3.64, 2021.

Arushi Jain, Annavarapu Chandra Sekhara Rao, Praphula Kumar Jain, and Ajith Abraham. ”Multi-type skin diseases Classification using OP-DNN based feature extraction approach”, Multimedia Tools and Applications, Springer, SCIE, Impact factor 2.757.

Praphula Kumar Jain and Anand Prakash. ”Predicting Consumer Recommendation Decisions from Online Reviews: A Rough Set Approach”, Wirelesss Personal Communications, Springer, SCIE, Impact factor 1.67, 2022.

Prasad Velpula, Rajendra Pamula, Praphula Kumar Jain, Amjan Shaik. ”Heterogeneous Load Balancing using Predictive Load Summarization”, Wirelesss Personal Communications, Springer, SCIE, Impact factor 1.67, 2022.

Pawan Meena, Monti Babulal Pal, Praphula Kumar Jain, Rajendra Pamula ”6G Communication Networks: Introduction, Vision, Challenges, and Future Directions”, Wirelesss Personal Communications, Springer, SCIE, Impact factor 1.67, 2022.

Praphula Kumar Jain, Waris Quamer, and Rajendra Pamula. ”Sports result prediction using data mining techniques in comparison with base line model”, OPSEARCH, Springer, ESCI & Scopus, Impact factor -.–, 2020.

Praphula Kumar Jain, Madhur Jain, and Rajendra Pamula. ”Explaining and predicting employees’ attrition: a machine learning approach”, SN Applied Sciences, Springer, ESCI & Scopus, Impact factor -.–, 2020.

Prabjot Kaur, Praphula Kumar Jain, Amit Singh, Nishant Kumar. ”Indian citizens sentiment classification on Citizenship Amendment Act 2019”, SN Applied Sciences, Springer, ESCI & Scopus, Impact factor -.–, 2023.

International Conferences

Praphula Kumar Jain, Dilip Sharma, Lakshmibai Maddala, and Rajendra Pamula. ”Airline recommendation prediction using customer generated feedback data”, 4^th International Conference on Information Systems and Computer Networks (ISCON), IEEE, 2019.

Lakshmibai Maddala, Praphula Kumar Jain, and Rajendra Pamula. ”Tourist Recommender System using Hybrid Filtering”, 4^th International Conference on Information Systems and Computer Networks (ISCON), IEEE, 2019.

Kumari Pooja, Praphula Kumar Jain, and Rajendra Pamula. ”An efficient use of ensemble methods to predict students academic performance”, 4^th International Conference on Recent Advances in Information Technology (RAIT), IEEE, 2018.

Punam Kumari, Praphula Kumar Jain, and Rajendra Pamula. ”A two-level Statistical Model for Big Mart Sales Prediction”, International Conference on Computing, Power and Communication Technologies (GUCON), IEEE, 2018.

Praphula Kumar Jain, and Rajendra Pamula. ”Two step anomaly detection approach using clustering algorithm”, International Conference on Advance Computing Networking and Informatcs (ICANI), Springer, 2018.

Gaurav Mishra, Shubham Agarwal, Praphula Kumar Jain, and Rajendra Pamula. ”Outlier detection using subset formation of clustering based method”, International Conference on Advance Computing Networking and Informatcs (ICANI), Springer, 2018.

Punam Kumari, Praphula Kumar Jain, and Rajendra Pamula. ”A two-level Statistical Model for Big Mart Sales Prediction”, International Conference on Computing, Power and Communication Technologies (GUCON), IEEE, 2018.

Book Chapters

Praphula Kumar Jain, and Rajendra Pamula. ”Content-Based Airline Recommendation Prediction Using Machine Learning Techniques”, Machine Learning Algorithms for Industrial Applications, Scopus, 2020.

Praphula Kumar Jain, and Rajendra Pamula. ”Sentiment Analysis in Airline Data: Customer Rating Based Recommendation Prediction Using WEKA”, Machine Learning Algorithms for Industrial Applications, Scopus, 2020.

Praphula Kumar Jain, Waris Quamer, and Rajendra Pamula. ”Electricity consumption forecasting using time series analysis”, International Conference on Advances in Computing and Data Science, Scopus, 2018.

• One Research paper titled” Deep Learning-Based Recommendation System” is published in ICCIP-2022 “
• One research paper titled “An Improved Genetic Algorithm for Automated Convolutional Neural Network Design” is published in Intelligent Automation and Soft Computing 32, no. 2 (2022): 747-763 (SCIE)
• One research paper titled “Fusion of Handcrafted and Automatically generated features for improving the performance of COVID-19 X-Ray image classification” is published in International Conference on Technology, Research, & Innovation for the betterment of society (TRIBES-2021) (IEEE)
• One research paper titled “Classification of Brain Tumor MR Images using Deep Embedding Technique” is published in 10th International conference on Soft Computing for Problem Solving - SocProS 2020.
• One research paper titled “PMI-IR Based Sentiment Analysis over Social Media Platform for Analyzing Client Review” is published in Second International Conference on Computer Networks and Communication Technologies ICCNCT 2019(Scopus Index)
• One research paper titled “An improved Document Clustering Approach with Multi-Viewpoint based on different similarity measures” is published in Second International Conference on Intelligent Computing and Control Systems (ICICCS) 2018 (Scopus Index).
• One research paper titled” Cache Friendly Bellman Ford algorithm using OpenCL” is published in International Journal of Computer Applications (0975 –8887) Volume139 No.13, April 2016”.
• One research paper titled “An Advance Survey On Cloud Computing” is published in CICN CONFRENCE in NOV 2014.
• One research paper titled “Comparative study on distributed energy efficient Multilevel approach in wireless sensor network” is published in NJESM Volume-4, Issue-1, June 2014, ISSN 2249-0264.
• One research paper titled “Performance Analysis for Random Access Channel in  Wireless Network with Mac Protocol” is published in IJATER DEC 2014, ISSN    2250-3536
• One research paper titled “Comparative Study on Fuzzy Controlled and PI Controlled Buck Converter” is published in IJETT Volume-4, Issue-3, MARCH 2013, ISSN 2231-5381.
• One research paper titled “An Agent Based Energy Efficient Local Monitoring in WSN is published in IJSCE in NOV 2011. Volume-1, Issue-5, November 2011, ISSN2231- 2307   

• K. Sharma and S. Bhadauria, "Detection and Prevention of Black Hole Attack in SUPERMAN," 2020 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS), New Delhi, India, 2020, pp. 1-6, doi: 10.1109/ANTS50601.2020.9342822.
• Tanishq Soni, Kratika Sharma, "A Secured Online Voting System for Member Based Organization," International Student Conference on Multidisciplinary and Current Technical Research 2023, MITS, Gwalior, M.P., India (Ref. No.: MITS/ISCMCTR/2023/48).

1. Machine Learning Model for Healthcare Investments Predicting the Length of Stay in a Hospital and Mortality Rate, Aashi Singh Bhadouria & Dr. Ranjeet Singh , Multimedia Tools and Applications.
2. Effective Framework for Underwater Image Enhancement using Multi-Fusion Technique, AS Bhadouria, K Agarwal, 2020 IEEE 9th International Conference on Communication Systems and Network.
3. Underwater Image Enhancement Techniques: An Exhaustive Study, AS Bhadouria, IJRASET 10 (2), 812-827
4. Non-Uniform Illumination and Low Light Image Enhancement Techniques: An Exhaustive Study, AS Bhadouria, IJRASET 10 (2), 804-811
5. An Effective Framework for Enhancement of Hazed and Low-Illuminated Images, KA Aashi Singh Bhadouria, IJRASET 10 (2), 791-800
6. A.S. Bhadouria, An Effective Framework for Enhancement of Hazed and Low- Illuminated Images, ICSISCET-2019 Springer Conference.
7. Bhadouria, Low Light and Non-Uniform Illumination Based Night Image Enhancement Techniques: An Exhaustive Study, IJCSNT-2019.
8. A Mortality Prediction System for Neonatal Jaundice using Machine Learning Techniques, Theoritical Computer Science, Aashi Singh Bhadouria. (Communicated)
9. Performance Analysis of Internet of Things enabled WSN for Agriculture, Aashi Singh Bhadouria, ISCMCTR (Communicated)
10. Air Pollution Detection & Monitoring Using Internet of Things, Aashi Singh Bhadouria, ISCMCTR-2023(Communicated)
11. Diabetes Insipidus: Diagnosis, Pathogenesis, and Management , Aashi Singh Bhadouria , Ishan Singh Bhadouria , International Journal for Research in Applied Science & Engineering Technology (IJRASET), Volume Volume 11 Issue VII Jul 2023, Year 2023.
12. Fruit Grading System for Feature Extraction and Quality Evaluation by Image Processing Technique Aashi Singh Bhadouria article IJRASET, Volume Volume 11 Issue VII Jul 2023, Year 2023, Pages International Journal for Research in Applied Science & Engineering Technology (IJRASET) ISSN: 2321-9653; IC Value: 45.98; SJ Impact Factor: 7.538 Volume 11 Issue VI Jun 2023.
13. Localization of Disease Osteoporosis in X-ray Images Aashi Singh Bhadouria , Ishan Singh Bhadouria , Vanshika Patel, Akshat Upasani article IJRASET, Volume Volume 11 Issue VII Jul 2023, Year 2023,  International Journal for Research in Applied Science & Engineering Technology (IJRASET) ISSN: 2321-9653; IC Value: 45.98; SJ Impact Factor: 7.538 Volume 11 Issue VI Jun 2023.
14. The Effects of IoT after COVID-19 on the Modern Healthcare Industry Aashi Singh Bhadouria , Ishan Singh Bhadouria , Vanshika Patel, Akshat Upasani ,IJRASET, Volume Volume 11 Issue VII Jul 2023, Year 2023, International Journal for Research in Applied Science & Engineering Technology (IJRASET) ISSN: 2321-9653; IC Value: 45.98; SJ Impact Factor: 7.538 Volume 11 Issue VI Jun 2023.
15. A Systematic Review Paper on : Need of Smart Home Architecture for Old People Aashi Singh Bhadouria , Ishan Singh Bhadouria , Vanshika Patel, Akshat Upasani, IJRASET, Volume Volume 11 Issue VII Jul 2023, Year 2023, Pages International Journal for Research in Applied Science & Engineering Technology (IJRASET) ISSN: 2321-9653; IC Value: 45.98; SJ Impact Factor: 7.538 Volume 11 Issue VI Jun 2023.
16. Detection of 3D Object in Point Cloud: Cloud Semantic Segmentation in Lane Marking Aashi Singh Bhadouria , Ishan Singh Bhadouria article International Journal of Innovative Research in Science, Engineering and Technology (IJIRSET) , Volume 12, Year 2023, Pages Volume 12, Issue 6, June 2023.
17. Synthetic Data Generation and Data Analytics for IoT Based Home Automation System Aashi Singh Bhadouria , Ishan Singh Bhadouria article International Journal of Innovative Research in Science, Engineering and Technology (IJIRSET), Volume 12, Year 2023, Pages Volume 12, Issue 6, June 2023.
18. ROBOTIC ARM AND ARDUINO CONTROLLED SMART MACHINE Aashi Singh Bhadouria , Ishan Singh Bhadouria , Vanshika Patel, Akshat Upasani article INTERNATIONAL JOURNAL OF CREATIVE RESEARCH THOUGHTS - IJCRT, Volume 11, Year 2023, Pages Volume 11, Issue 6 June 2023.

Jigyasa Mishra, Kapil Sharma “Analysis and Investigation on Cluster Based Routing Algorithms in WSN”

published in International Journal Computer Science Network, vol. 5 No.1 June 2015, pp 29-34.

Abhishek Rajawat, Manisha Pathak, Ashish Gupta " Brain Tumor Detection with Chain - Vese Segmentataion Using Ansidoff - Filter" IJIRSET, Volume 11, Issue 7, July 2022, DOI:10.15680/IJIRSET.2022.1107161

Shailendra Pal, Manisha Pathak, Aashish Gupta " An Approach for Fake News Detection by using Deep Learning Technique " " IJIRSET Volume 11, Issue 7, July 2022, DOI:10.15680/IJIRSET.2022.1107160

Ritesh Mourya, Manisha Pathak " Heart Disease Detection using Data Mining" IJIRSET Volume 11, Issue 3, March 2022, DOI:10.15680/IJIRSET.2022.1103083

Priyanka Srivastava, Ashish Gupta, Manisha Pathak " Content Based Image Retrieval System Using
Improved GSA Algorithm" IJIRSET Volume 11, Issue 2, February 2022,  DOI:10.15680/IJIRSET.2022.1102011