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

   Research Publications

• Rajeev Kumar Singh, Akhilesh Tiwari, R. K. Gupta, “Deep Transfer Modeling for Classification of Maize Plant Leaf Disease” Multimedia Tools and Applications, 81, 6051–6067 (2022). https://doi.org/10.1007/s11042-021-11763-6 (Springer,2022) [SCIE Indexed]
• Dixit, A., Tiwari, A., Gupta, R.K., “A Model for Trend Analysis in the Online Shopping Scenario using Multilevel Hesitation Pattern Mining”, in Deep Transfer Learning Models for Complex Multimedia Applications special issue of Mathematical Problems in Engineering, Vol 2021, Article ID 2828262, 11 pages, 2021. [SCIE Indexed] (Scopus Indexed) (WoS Indexed) (Impact Factor: 1.305) https://doi.org/10.1155/2021/2828262
• Pathak, P.K. Shukla, A. Tiwari, S. Stalin, S. Singh, P.K. Shukla, Deep Transfer Learning Based Classification Model for COVID-19 Disease, IRBM,2020 (Elsevier). (ISSN 1959-0318), (doi: https://doi.org/10.1016/j.irbm.2020.05.003) [SCIE Indexed]
• Saurabh Singh, Shashi Kant Verma, Akhilesh Tiwari, “A Novel Approach for Finding Crucial Node using Electre Method”, International Journal of Modern Physics B, Vol. 34, No. 09, 2050076,  [SCI Indexed]
• Saurabh Singh, Shashi Kant Verma, Akhilesh Tiwari, “A Novel Method for Destabilization of Terrorist Network”, Modern Physics Letters B, Vol. 34, No. 27, 2050298, 2020. [SCI Indexed]
• Shraddha Pandit, Piyush Kumar Shukla, Akhilesh Tiwari, Prashant Kumar Shukla, Manish Maheshwari and Rachana Dubey, “Review of Video Compression Techniques Based on Fractal Transform Function and Swarm Intelligence”, International Journal of Modern Physics B, Vol. 34, No. 08, 2050061, 2020. [SCI Indexed]
• Saurabh Singh, Shashi Kant Verma, Akhilesh Tiwari, “Identification of Pivotal Node in Terrorist Network using TOPSIS Method”, International Journal of Innovative Technology and Exploring Engineering, Vol. 08, Issue 9, pp. 3299 -3305, 2019 [Scopus Indexed]
• ShraddhaPandit, Piyush Kumar Shukla, Akhilesh Tiwari and Prashant Shukla, “Review Of Different Video Compression Methods Based On Fractal Transform", International Journal of Scientific & Technology Research Volume 8, Issue 11, 3687- 3689, November 2019 [Scopus Indexed]
• Nishtha Parashar, Akhilesh Tiwari and R. K. Gupta, “Association Rule Mining over Medical Image Dataset: A Survey Approach", International Conference on Computing, Communication and Intelligent Systems (ICCCIS-2019), pp. 84 – 89, 2019. [Scopus Indexed]
• Saurabh Singh, Shashi Kant Verma, Akhilesh Tiwari, “Identification of Pivotal Node in Terrorist Network using TOPSIS Method”, International Journal of Innovative Technology and Exploring Engineering, Vol. 08, Issue 9, pp. 3299 -3305, 2019 [Scopus Indexed]
• Uday Pratap Singh, Sanjeev Jain, Rajendra Kumar Gupta, Akhilesh Tiwari, “AFMBC for a class of Nonlinear Discrete-Time Systems with Dead Zone”, International Journal of Fuzzy Systems, Vol. 21, Issue 4, pp. 1073-1084, June 2019. (Springer). [SCIE, SCOPUS INDEXED] (IF: 3.085)
• Shraddha Pandit, Piyush kumar Shukla, Akhilesh Tiwari and Prashant Shukla, “ Comparative Exploration of Compression and Decompression Impact on Fractal Video ", Journal of Advanced Research in Dynamical and Control Systems,Vol.11,no.2,pp.1556-1566, May 2019 [Scopus Indexed]
• Archana Gupta, Akhilesh Tiwari, Sanjeev Jain, “ A system for Incremental Association rule mining without candidate generation”, International Journal of Computer Science and Information Security (IJCSIS). Vol. 17, No. 7, July 2019.
• Archana Gupta, Akhilesh Tiwari, Sanjeev Jain, “ An Efficient Tree Based Data Structure For Incremental Frequent Itemset Generation”, International Journal for Research in Applied Science and Engineering Technology (IJRASET), ISSN: 2321- 9653, Impact factor – 7.177, Vol – 7, Issue – VI, pp 36-42, June 2019.
• Prateek Pandey, Ratnesh Litoriya, Akhilesh Tiwari, “A Framework for Fuzzy Modelling in Agricultural Diagnostics, Journal Européen des Systèmes Automatisés (1269-6935), 51/4-6, pp. 203-223, 2018. (doi:10.3166/jesa.51.203-223). (Scopus)
• Gaurav Sharma, Akhilesh Tiwari “Data Analytics Model for Optimal Crop Management”, International Journal for Research in Applied Science & Engineering Technology (IJRASET), Volume 07, Issue 06, pp. 690-693, June 2019. (UGC Listed)
• Akanksha Gahoi, Akhilesh Tiwari “Data Mining Techniques for Prediction of Wheat Crop Production”, International Journal for Research in Applied Science & Engineering Technology (IJRASET), Volume 07, Issue 06, pp. 1158-1163, June 2019. (UGC Listed)
• Archana Gupta, Sanjeev Jain and Akhilesh Tiwari, “Optimization and Improvement of Association Rule Mining using Genetic Algorithm and Fuzzy Logic”, International Conference on Sustainable Computing in Science, Technology & Management (SUSCOM-2019), pp.2299- 2304, Feb. 26-28, Amity University Rajasthan, Jaipur, 2019.
• Uday Pratap Singh, Sanjeev Jain, Akhilesh Tiwari, Rajeev Kumar Singh, “Gradient evolution-based counter propagation network for approximation of noncanonical system, Soft Computing, pp. 1-13, 2018. (Springer Berlin Heidelberg). https://doi.org/10.1007/s00500-018-3160-7  [SCIE, SCOPUS INDEXED]
• Saumya Saraswat, Akhilesh Tiwari, “A New Approach for Customer Churn Prediction in Telecom Industry”, International Journal of Computer Applications, Volume 181, No.11, pp. 40-46, Aug. 2018.
• Gomsi Yadav, Akhilesh Tiwari, “On the Use of Elephant Herding Optimization for Mining Profitable Patterns”, International Journal of Technical Innovation in Modern Engineering & Science, Volume 04, Issue10, pp. 196-205, Oct. 2018.
• Priyanka Gupta, Akhilesh Tiwari, “Optimal Pattern Mining using Differential Evolution Algorithm”, International Journal of Technical Innovation in Modern Engineering & Science, Volume 04, Issue10, pp. 206-213, Oct. 2018.
• Shraddha Pandit,Piyush Kumar Shukla and Akhilesh Tiwari, “Fractal Compression of an AVI Video File using DWT and Particle Swarm Optimization”, International Journal of Computer Science and Information Security,Vol.16, No.1, pp. 128-131, 2018.
• Saurabh Singh, Shashikant Verma, Akhilesh Tiwari, “An innovative approach for identification of pivotal node in terrorist network using promethee method (an anti-terrorism approach)”, International Journal of Engineering & Technology, Vol. 7 (1), pp. 95-99, 2018. [Scopus Indexed]
• Shraddha Pandit, Piyush Kumar Shukla and Akhilesh Tiwari, “Video Compression based on Fractal Isosceles Triangular Partition using Hybrid Swarm Intelligence”, International Journal of Computer Applications, Volume 179, No.29, pp. 28-34, 2018.
• Shraddha Pandit, Piyush Kumar Shukla and Akhilesh Tiwari, “A Proficient Video Compression Method Based on DWT & HV Partition Fractal Transform Function”, International Journal of Scientific Engineering and Technology, Vol.7, Issue 2, pp. 20-24, 2018.
• Shraddha Pandit, Piyush Kumar Shukla and Akhilesh Tiwari, “ Enhance the Performance of Video Compression Based on Fractal H-V Partition Technique with Particle Swarm Optimization”, International Journal of Computer Science and Engineering,Vol.6, Issue 1, pp.31-35, 2018.
• Uday Pratap Singh, Sanjeev Jain, Akhilesh Tiwari, Rajeev Kumar Singh, “Approximation of nonlinear discrete-time system using FA-based neural network” Granular Computing (2017). https://doi.org/10.1007/s41066-017-0055-4 (Springer International Publishing).

• Saurabh Singh, Shashikant Verma, Akhilesh Tiwari, Divyani Indurkhya, Aditya Tiwari, “An Innovative Investigation on the Importance of Link in Terrorist Network Using Prim’s Algorithm (Anti - Terrorism Approach)”, Journal of Advanced Research in Dynamical and Control Systems Vol. 9, pp. 316- 331, Sp– 14 / 2017 [Scopus Indexed]
• Singh, S. Verma, A. Tiwari and A. Tiwari, "A novel way to classify passenger data using Naïve Bayes algorithm (A real time anti-terrorism approach)," 2016 2nd International Conference on Next Generation Computing Technologies (NGCT), Dehradun,2016,pp.312-316. (doi: 10.1109/NGCT.2016.7877433)
• Arvind Sharma, R. K. Gupta, and Akhilesh Tiwari, “Improved Density Based Spatial Clustering of Applications of Noise Clustering Algorithm for Knowledge Discovery in Spatial Data,”Mathematical Problems in Engineering, vol. 2016, Article ID 1564516, 9 pages, 2016. doi:10.1155/2016/1564516 [Science Citation Index Expanded, Scopus] (Impact Factor 0.644)
• Vishakha Agarwal, Akhilesh Tiwari, A Novel Optimal Pattern Mining Algorithm using Genetic Algorithm, International Journal of Computer Applications, Vol. 144, Issue No. 4, pp. 18-21, 2016. (ISSN: (0975 – 8887)
• Vishakha Agarwal, Akhilesh Tiwari, From Data Warehouse to Pattern Warehouse: A Progressive Step, International Journal of Engineering Research, Vol. 5, Issue No. 4, pp. 249-252, 2016. (ISSN:2319-6890)(online),2347-5013(print) (Impact Factor 3.851)
• Jagrat Gupta, Akhilesh Tiwari, Profitable Pattern Mining: A Survey Approach, TECHNIA – International Journal of Computing Science and Communication Technologies, Vol. 5, Issue No. 4, pp. 264-268, 2016. (ISSN:2319-6890)(online),2347-5013(print)
• Surabhi Pathak, Akhilesh Tiwari, A Survey on Hesitation Information Mining, International Journal of Computer Applications, Vol. 141, Issue No. 9, pp. 14-21, 2016. (ISSN: (0975 – 8887)
• Jagrat Gupta, Akhilesh Tiwari, A New Model for Profitable Pattern Mining, International Journal of Engineering Research, Vol. 5, Issue No. 4, pp. 264-268, 2016. (ISSN:2319-6890)(online),2347-5013(print)
• Saumya Gupta, Akhilesh Tiwari, Terrorism in the Cyber Space: The New Battlefield, International Journal of Advanced Research in Computer and Communication Engineering, Vol. 5, Issue 5, pp. 218-222, 2016. ISSN (Online) 2278-1021 ISSN (Print) 2319 5940.
• Shrikant Brajesh Sagar, Akhilesh Tiwari, Rough Set and Genetic Based Approach for Maximization of Weighted Association Rules, International Journal of Modern Education and Computer Science, Vol. 3, pp. 54-63, 2016  (Hong Kong) (DOI: 10.5815/ijmecs.2016.03.0)
• Lokendra Singh Parihar, Akhilesh Tiwari, Soft Set Based Approach for Intrusion Detection Using Data Mining Techniques, International Journal for Science and Advance Research In Technology, Vol. 2 Issue 1, pp. 63-71, 2016. (Impact Factor 3.55) (ISSN No. 2395-1052)
• Lokendra Singh Parihar, Akhilesh Tiwari, Survey on Intrusion Detection Using Data Mining Methods, International Journal for Science and Advance Research In Technology, Vol. 2 Issue 1, pp. 23-32, 2016. (Impact Factor 3.55) (ISSN No. 2395-1052)
• Arun Kumar Singh, Akhilesh Tiwari, Exploring the Utility of Vague Concept for Uncertainty and Hesitation Management, International Journal of Hybrid Information Technology, Vol.8, No.12, pp. 153-170, 2015 (Australia)  (http://dx.doi.org/10.14257/ijhit.2015.8.12.10) [Scopus Indexed]
• Prateek Shrivastava, Akhilesh Tiwari, Genetic Based Hesitation Information Mining for Profitability Management, International Journal of Database Theory and Application, Vol.8, No.6, pp.75-88, 2015. (Australia) (http://dx.doi.org/10.14257/ijdta.2015.8.6.07) [Scopus Indexed]
• Shrikant Brajesh Sagar, Akhilesh Tiwari, Rough Set and Genetic based Model for Extracting Weighted Association Rules, International Journal of Hybrid Information Technology, Vol.8, No.11, pp.121-138, 2015  (Australia) (http://dx.doi.org/10.14257/ijhit.2015.8.11.10) [Scopus Indexed]
• Mradul Dhakar, Akhilesh Tiwari, Tree-augmented naive Bayes-based model for intrusion detection system, Int. J. Knowledge Engineering and Data Mining (IJKEDM), 3 No. 1, pp. 20-30, 2014. Inderscience (Switzerland).
• Saumil Maheshwari, Akhilesh Tiwari, Genetic Based Optimization of Social Network with Special Reference to Terrorist Network Mining, International Journal of Computing Science and Communication Technologies (IJCSCT) Technia, Vol 7. No. 1, pp. 1005-1008, 2014.
• Vinod Rampure, Akhilesh Tiwari, A Rough Set Based Classification Model for the Generation of Decision Rules, International Journal of Database Theory and Application, 7 No.5, pp.95-108, 2014.  [Scopus Indexed]
• Ekta Gupta, Akhilesh Tiwari, BPAODV: Black Hole Prevention Using Trust Adhoc on Demand Distance Vector Routing Protocol, International Journal of Future Generation Communication and Networking, 7, No. 6, pp. 103-118, 2014. [Scopus Indexed]
• Ekta Gupta, Akhilesh Tiwari, Approaches for the detection and Prevention of Black Hole Attack in AODV: A Critical Review, International Journal of Computing Science and Communication Technologies (IJCSCT) Technia, Vol 7. No. 1, pp. 987-995, 2014.
• Mradul Dhakar, Akhilesh Tiwari, A Novel Data Mining based Hybrid Intrusion Detection Framework, Journal of Information and Computing Science (JIC), Vol. 9, No. 1, pp. 37-48, 2014. (England, UK)
• Sahiv Singh Kanojiya, Akhilesh Tiwari, A New Soft Set Based Association Rule Mining Algorithm, International Journal of Computing Science and Communication Technologies (IJCSCT) Technia, Vol 6. No. 2, pp. 948-954, 2014.
• Bhavana Mahour, Akhilesh Tiwari, A Ranking Algorithm for News Data Streams,  International Journal of Computer Applications, 94 No. 6, pp. 46-50, 2014.
• Mradul Dhakar, Akhilesh Tiwari, Evaluating the Performance of TAN-based and REP-based Models for Intrusion Detection, International Journal of Computing Science and Communication Technologies (IJCSCT) Technia, Vol 6. No. 1, pp. 909-915, 2013.
• Nisha Chaurasia, Akhilesh Tiwari, Novel Algorithm for Terrorist Network Mining, International Journal of Computing Science and Communication Technologies (IJCSCT) Technia, Vol. 6, No. 1, pp. 898-903, 2013.
• Mradul Dhakar, Akhilesh Tiwari, A New Model for Intrusion Detection based on Reduced Error Pruning Technique, International Journal of Computer Networks and Information Security (IJCNIS), MECS Publishers, Vol. 5, No. 11, pp. 51-57, 2013.
• Mradul Dhakar, Nisha Chaurasia, Akhilesh Tiwari, Analysis of K2 based Intrusion Detection System,Current Research in Engineering, Science and Technology Journals (CREST), 1, No. 5, pp. 129-134, 2013.
• Nisha Chaurasia, Akhilesh Tiwari, Efficient Algorithm for Destabilization of Terrorist Networks, International Journal of Information Technology and Computer Science (IJITCS), MECS Publishers, Vol. 5 No. 12, pp. 21-30,
• Akhilesh Tiwari, R. K. Gupta, D. P. Agrawal, “Knowledge-Miner: The Conceptual and Architectural Design of an Efficient Data Mining Tool” International Journal of Data Mining and Emerging Technologies, ISSN 2249-3220, Vol. 2, No. 1, pp. 26-35, 2012. 
• Nisha Chaurasia, Mradul Dhakar, Akhilesh Tiwari, R.K. Gupta, “A Survey on Terrorist Network Mining: Current Trends and Opportunities” International Journal of Computer Science & Engineering Survey (IJCSES), Vol. 3, No. 4, pp. 59-66, 2012.
• Nisha Chaurasia, Mradul Dhakar, Astha Chharia, Akhilesh Tiwari, R. K. Gupta, “Exploring the Current Trends and Future Prospects in Terrorist Network Mining” In Proc. of The Second International Conference on Computer Science, Engineering and Applications (CCSEA-2012), pp. 379-385, 2012.
• Akhilesh Tiwari, R. K. Gupta, D. P. Agrawal, “An Algorithm For Maximal Frequent Itemset Mining From Large Databases Using Bit-Set Representation Scheme” International Journal of Data Mining and Emerging Technologies, ISSN 2249-3220, Vol. 1, No. 1, pp: 1-7, 2011.
• Akhilesh Tiwari, R. K. Gupta, D. P. Agrawal, “A Survey on Frequent Pattern Mining: Current Status and Challenging Issues” Information Technology Journal, ISSN 1812-5638, Vol. 9, No. 7, pp: 1278-1293, 2010. [Scopus Indexed]

Book Chapters

• Dixit, A., Tiwari, A., Gupta, R.K. (2022). Exploring Current Trends and Challenges in Hesitation Mining. In: Tiwari, S., Trivedi, M.C., Kolhe,M.L., Mishra, K., Singh, B.K. (eds) Advances in Data and InformationSciences. Lecture Notes in Networks and Systems, vol 318, pp 417–428. Springer,Singapore. [Scopus Indexed] https://doi.org/10.1007/978-981-16-5689-7_37
• Dixit, A., Tiwari, A., Gupta, R.K. (2020). Investigating Multilevel Hesitated Patterns Using Vague Set Theory. In: Pant, M., Kumar Sharma, T., Arya, R., Sahana, B., Zolfagharinia, H. (eds) Soft Computing: Theories and Applications. Advances in Intelligent Systems and Computing, vol 1154, pp 335–345. Springer, Singapore. [Scopus Indexed] https://doi.org/10.1007/978-981-15-4032-5_31
• Vishakha Agarwal, Akhilesh Tiwari, R.K. Gupta and Uday Pratap Singh, “The Conceptual and Architectural Design of Genetic Based Optimal Pattern Warehousing System”, Big Data Analytics: A Social Network Approach (Editors: Editors: Mrutyunjaya Panda, Ajith Abraham and Aboul-Ella Hassanien), 2019. (Published by   CRC Press Taylor and Francis Group) (International Standard Book No. – 13:978-1-138-08216-8).
• Pandit S., Shukla P.K., Tiwari A. (2019) Investigating the Effect of Compression and Decompression in Video Using Fractal Technique. In: Peng SL., Dey N., Bundele M. (eds) Computing and Network Sustainability. Lecture Notes in Networks and Systems, vol 75. Springer, Singapore (doi: doi: 10.1007/978-981-13-7150-9_8)
• Sowkarthika B, Akhilesh Tiwari, R.K. Gupta and Uday Pratap Singh, “Utility and Significance of Vague Set Theory and Advanced Optimization Mechanisms for Uncertainty Management”, Soft-Computing-Based Nonlinear Control Systems Design, pp.191-219, 2018. IGI Global USA (DOI: 10.4018/978-1-5225-3531-7.ch010)
• Shalini Stalin, Priti Maheshwary, Piyush Kumar Shukla, Akhilesh Tiwari and Ankur Khare, “Fast Chaotic Encryption Using Circuits for Mobile and Cloud Computing: Investigations Under the Umbrella of Cryptography”, Soft-Computing-Based Nonlinear Control Systems Design, pp. 252-277, 2018. IGI Global USA (DOI: 10.4018/978-1-5225-3531-7.ch012)
• Pankaj Agrawal, Akhilesh Tiwari and Uday Pratap Singh, “An Innovative Design of RF Energy Harvester for Wireless Sensor Devices”, Soft-Computing-Based Nonlinear Control Systems Design, pp.311-342, 2018. IGI Global USA (DOI: 10.4018/978-1-5225-3531-7.ch015).
• Uday Pratap Singh, Sanjeev Jain, Akhilesh Tiwari and Rajeev Kumar Singh. "Nature-Inspired-Based Adaptive Neural Network Approximation for Uncertain System." Handbook of Research on Emergent Applications of Optimization Algorithms. IGI Global USA, 2018. 439-461. Web. 10 Nov. 2017. doi:10.4018/978-1-5225-2990-3.ch019
• Agarwal, V., Tiwari, A., Gupta, R.K., Singh, U.P. (2018). Discovering Optimal Patterns for Forensic Pattern Warehouse. In: Choudhary, R., Mandal, J., Bhattacharyya, D. (eds) Advanced Computing and Communication Technologies. Advances in Intelligent Systems and Computing, vol 562. Springer, Singapore. https://doi.org/10.1007/978-981-10-4603-2_11 (DOI: 10.1007/978-981-10-4603-2) [Scopus Indexed] (DOI: 10.1007/978-981-10-4603-2) [Scopus Indexed]
• Mradul Dhakar, Akhilesh Tiwari. "The Conceptual and Architectural Design of an Intelligent Intrusion Detection System." Improving Information Security Practices through Computational Intelligence. IGI Global USA, 2016. 100-125. Web. 30 Nov. 2015. doi:10.4018/978-1-4666-9426-2.ch005  [Scopus Indexed]
• Saumil Maheshwari, Akhilesh Tiwari, “A Novel Genetic Based Framework for the Detection and Destabilization of Influencing Nodes in Terrorist Network”, Computational Intelligence in Data Mining - Volume 1, Smart Innovation, Systems and Technologies Vol. 31, pp. 573 – 582, 2015.  (DOI 10.1007/978-81-322-2205-7_53)   Published by Springer. [Scopus Indexed]
• Nisha Chaurasia, Akhilesh Tiwari, “On the use of Brokerage Approach to discover Influencing Nodes in Terrorist Networks”, Social Networking: Mining, Visualization, and Security, Series Title: Intelligent Systems Reference Library, Vol. 65, pp. 271 -295, 2014. Print ISBN 978-3-319-05163-5, Online ISBN 978-3-319-05164-2, (DOI 10.1007/978-3-319-05164-2_11). Springer International Publishing Switzerland. [Scopus Indexed]

BOOK PUBLISHED (AS EDITOR)

Book Published:

• Sharma S., Rahaman V., Sinha G.R. (eds) Big Data Analytics in Cognitive Social Media and Literary Texts. Springer, Singapore. https://link.springer.com/book/10.1007/978-981-16-4729-1#about,  978-981-16-4728-4. 

Published Research Paper (International Journal)

1. Prakash Chandra Sharma, Rohit Raja,  Santosh Kumar Vishwakarma,Sanjiv Sharma,   Pankaj Kumar Mishra & Vivek Singh Kushwah ,  Analysis of brain signal processing and real-time EEG signal enhancement. Springer Multimedia Tools Application, ISSN: 1573-7721, Volume 81,16 May 2022(SCI Journal), Impact Factor: 2.757. 
2. Devendra Kumar Mishra ,Kushal Johari ,Shivangi Ghildiyal, Arvind Kumar Upadhyay and  Sanjiv Sharma, “A Novel Approach in Business Intelligence for Big Data Analytics Using an Unsupervised Technique”, IOP ECS Transaction, ISSN: 1938-5862, Vol 107 (1),  Aprl 2022.
3. Devendra Kumar Mishra, Jitendra Kumar, Jitendra Kumar Chaudhary, Dr. Arvind Kumar Upadhyay and  Sanjiv Sharma, “Role of Text Mining to Enhance the Quality of Product Using an Unsupervised Machine Learning Approach”, IOP ECS Transaction, ISSN: 1938-5862, Vol 107 (1),  Aprl 2022.
4. Jyoti Kumari and Sanjiv Sharma, “A Movie Recommendation System Based on A Convolutional Neural Network”, International Journal for Research in Applied Science & Engineering Technology (IJRASET) ISSN: 2321-9653; IC Value: 45.98; SJ Impact Factor: 7.538 Volume 9 Issue XII Dec 2021.
5. Pallavi Singhal and Sanjiv Sharma,” Prediction and analysis of human activity using machine learning”, GIS SCIENCE JOURNAL  , Volume 8, Issue 1, 2021, ISSN : 1869-9391,pp 1142-1151.
6. Pallavi Singhal and Sanjiv Sharma, “A Comparative Analysis of Different Approaches for Recognizing Human Activity” International Journal for Research in Applied Science & Engineering Technology (IJRASET) ISSN: 2321-9653; IC Value: 45.98; SJ Impact Factor: 7.429 Volume 8 Issue VII July 2020. 
7. Nymphea Saraf Sandhu, A. K. Upadhyay, Sanjiv Sharma, “Sentiment Trend Analysis of Big Data”, International Journal of Innovative Technology and Exploring Engineering (IJITEE) ISSN: 2278-3075, Volume-8 Issue-10, August 2019(Scopus Index).
8. Yogita Solanki, Sanjiv Sharma  “Analysis and Prediction of Heart Health using Deep Learning Approach ” , International Journal of Computer Sciences and Engineering” ISSN : 2347-2693 ,Volume-7 , Issue-8 , Page no. 309-315, Aug-2019,IF: 3.022.
9. Sadhna Sharma, Sanjiv Sharma “Identification of Accurate Classification Technique for Crime Investigation Using Ensemble Approach”, International Journal of Computer Sciences and Engineering, ISSN : 2347-2693 ,Volume-7 , Issue-8 , Page no. 137-143, Aug-2019,IF: 3.022.
10. Yogita Solanki, Sanjiv Sharma  “A Survey on Risk Assessments of Heart Attack Using Data Mining Approaches” I.J. Information Engineering and Electronic Business, 2019, ISSN: 2278-3075,11,4, 43-51 Published Online July 2019.
11. Sadhna Sharma, Sanjiv Sharma ,“A Comparative Study of Crime Investigation Using Data Mining Approaches”, International Journal for Research in Applied Science & Engineering Technology ISSN: 2319-8753,Vol.7,pp. 2073-2079,2019,7.08.
12. Krishan Kant Yadav, Venkatadri Marriboyina, Sanjiv Sharma “A Firefly Approach to Collaborative Filtering based Recommender Systems through Fuzzy Features”, International Journal of Innovative Technology and Exploring Engineering (IJITEE) ,ISSN: 2278-3075, Volume-8 Issue-7, May, 2019 (Scopus Index)
13. Rajeev Goyal, Sanjiv Sharma, Arvind K. Upadhyay, “Pair-Wise Trust Prediction Employing Matrix Factorization for Online Social Network”, International Journal of Engineering and Advanced Technology (IJEAT)  ISSN: 2249-8958, Volume-8 Issue-5, 2686-2690, June 2019 (Scopus Index).
14. Rajeev Goyal, Arvind K. Upadhyay, Sanjiv Sharma, Pankaj Kumar Mishra “ Trust Factor Organization for Trust Prediction in Online Social Network”, International Journal of Innovative Technology and Exploring Engineering (IJITEE), ISSN: 2278-3075, Volume-8 Issue-7, May, 2019( Scopus Index)
15. Pragati Sharma  and Sanjiv Sharma “Mining Educational Data using Filter based Feature Selection Method” International Journal for Research in Applied Science & Engineering Technology Volume 6 Issue IX, 304-312,Sep 2018. ISSN: 2321-9653; IC Value: 45.98; SJ Impact Factor: 6.887.
16. Abhishek Bajpai  and Sanjiv Sharma “An Expert System for Type-2 Diabetes Mellitus Risk Stratification: Data Mining Techniques” International Journal for Research in Applied Science & Engineering Technology Volume 6 Issue IX, 448-460,Sep 2018. ISSN: 2321-9653; IC Value: 45.98; SJ Impact Factor: 6.887
17. Deepika Tyagi and Sanjiv Sharma “An Expert System for Credit Risk Stratification using Data Mining” International Journal for Research in Applied Science & Engineering Technology Volume 6 Issue IX,293-303,Sep 2018. ISSN: 2321-9653; IC Value: 45.98; SJ Impact Factor: 6.887
18. Elisa Cuadrado-Godia, Pratistha Dwivedi, Sanjiv Sharma, Angel Ois Santiago,a Jaume Roquer Gonzalez, Mercedes Balcells, John Laird, Monika Turk, Harman S. Suri, Andrew Nicolaides,Luca Saba, N. N. Khanna, Jasjit S. Suri,” A Focus on Pathophysiology, Biomarkers, and Machine Learning Strategies in Cerebral Small Vessel Disease”, Journal of Stroke, pISSN: 2287-6391 , eISSN: 2287-6405, 1482-1492, 20(3): 302,2018.(SCI Index)
19. Pragati Sharma  and Sanjiv Sharma “Data Mining Techniques For Educational Data: A Review.” International Journal of Engineering Technologies and Management Research, 5(2:SE), 166-177. ISSN: 2454-1907,2018.
20. Abhishek Bajpai  and Sanjiv Sharma “Big Data Analysis In Health Care Domain: A Systematic Review” International Journal of Engineering Technologies and Management Research, 5(2:SE), 1-8. ISSN: 2454-1907, 2018.
21. Deepika Tyagi and Sanjiv Sharma “An Approach To Crime Data Analysis: A Systematic Review” International Journal of Engineering Technologies and Management Research, 5(2:SE), 67-74 ISSN: 2454-1907, 2018.
22. Hemant Kumar Soni, Sanjiv Sharma, Arvind Kumar Upadhyay, “An Empirical Algorithm for High and Low Correlative Association Rule Mining” International Journal of Intelligent Engineering and Systems, Vol.11, No.3, ISSN: 2185-3118 , 2018 (Scopus Index) 
23. Neelam Mishra , Hemant Kumar Soni, Sanjiv Sharma , A.K. Upadhyay, “Development and Analysis of Artificial Neural Network Models for Rainfall Prediction by Using Time-Series Data” I.J. Intelligent Systems and Applications, 2018, 10,1,ISSN: 2074-9058, 16-23(Scopus Index).
24. Neelam Mishra , Hemant Kumar Soni, Sanjiv Sharma , A.K. Upadhyay, “A Comprehensive Survey of Data Mining Techniques on Time Series Data for Rainfall Prediction” Journal of ICT Research and Applications, ISSN: 2337-5779, Vol. 11, No. 2, 2017, pages 167-183(Scopus Index). 
25. Abhishek Satyarthi, Sanjiv Sharma “A Review of Homomorphic Encryption Algorithm for Achieving Security in Cloud: Review Article” International Journal of Computer Sciences and Engineering, ISSN 2347-2693, Volume-5, Issue-6 (June 2017), Page(s) 19-23.
26. Anupama Tyagi, Sanjiv Sharma “Analysis of Classification Approach for Data of Social Network” International Journal of Computer Sciences and Engineering, ISSN 2347-2693, Volume-5, Issue-6 (June 2017), Page(s) 35-41.
27. Meenu Shukla ,Sanjiv Sharma, “Analysis of Efficient Classification Algorithm For Detection Of Phishing Site”, International Journal of Scientific Research in Computer Sciences and Engineering, Volume-5, Issue-3, pp. 136-141, E-ISSN: 2320- 639, June 2017. 
28. Prachi Chaturvedi, Abhishek Satyarthi, Sanjiv Sharma, “Time and Reliability Optimization BAT Algorithm for Scheduling Workflow in Cloud”, IRJET- International Research Journal of Engineering andTechnology, Vol. No. 4, Issue No. 6, June, 2017.
29. Prachi Chaturvedi, Sanjiv Sharma, “Workflow Scheduling Mechanism using PCSO in Cloud:Case Study”, IJCSE- International Journal of Computing Science and Engineering, Vol. No. 5,Issue No. 5, June, 2017.
30. Krishan Kant Yadav, Sanjiv Sharma, Manisha Singh, “Design and Analysis of Efficient Collaborative Filtering Based Optimization Approach” International Journal of Advanced Research in Computer Science, ISSN No. 0976-5697, Volume 8, No. 5, May-June 2017, pp 1610-1614.
31. Meenu Shukla, Sanjiv Sharma, “A Comparative Study of Existing Data Mining Techniques for Phishing Detection”, International Journal of Computer Sciences and Engineering, ISSN: 2347-2693, Vol 5, Issue 5, and 30 May 2017 pp 182-187.
32. Prachi Chaturvedi, Sanjiv Sharma, “Workflow Scheduling Strategies for Achieving Fault Tolerance in Cloud: Review Article”, IJARCS – International Journal of Advanced Research in Computing Science, ISSN No. 0976-5697,Vol. 8 No. 2, May 2017 pp 750-755.
33. Prachi Chaturvedi, Sanjiv Sharma, “An Provision For Workflow Scheduling using Round Robin  Algorithm in Cloud”, International Journal of Advanced Research in Computing Science , ISSN No. 0976-5697, Vol. No. 8, Issue No. 2, May 2017, pp 667-673.
34. Anupama Tyagi, Sanjiv Sharma “A Literature Survey on Algorithms for Detecting Communities in Online Network” International Journal of Emerging Trends in Engineering and Development, ISSN 2249-6149, Issue 7, Vol. 3 (May 2017), Page(s) 40-45.
35. Prachi Chaturvedi, Sanjiv Sharma “Scalability in Workflow Fault Tolerance Mechanism in Cloud”, International Journal for Science And Research In Technology (IJSART), ISSN: 2379-3686, Vol. No. 3, Issue No. 4, April 2017, pp 63-71.
36. Hemant Kumar Soni, Sanjiv Sharma, A.K. Upadhyay “Two Novel Pioneer Objectives of Association Rule Mining for high and low correlation of 2-varibales and 3-variables” International Journal of Engineering and Technology (IJET), ISSN (Online) : 0975-4024. Vol 9, No 2, Apr-May 2017. 
37. Hemant Kumar Soni, Sanjiv Sharma, Pankaj K. Mishra. “Association Rule Mining: A Data Profiling And Prospective Approach” International Journal Of Current Engineering And Scientific Research (IJCESR), ISSN (PRINT): 2393-8374, (ONLINE): 2394-0697, Volume-3, Issue-1, 2016, Page(s) 57-59.
38. Manish Arya,  Sanjiv Sharma, “Review Paper on Intrusion Detection using Data Mining Methods” International Journal for Scientific Research & Development, ISSN (online): 2321-0613, Vol. 4, Issue 07, 2016., Page(s): 169-174.
39. Manish Arya,  Sanjiv Sharma, “Soft Set Based Intrusion Detection System Architecture using Genetic Algorithm”, International Journal for Science and Advance Research In Technology, ISSN [Online] : 2395-1052, Volume 3, Issue 7,July 2017 (Impact Factor:  4.284) pp 269-273.
40. Ajmer Singh Dhakad, Sanjiv Sharma “Energy Balance Data Aggregation in Wireless Sensor Network by Design Structure Free Network Using Time Diffrence of Arrival Localization” International Journal of Advanced Research in Computer Science and Software Engineering, ISSN: 2277 128X, Volume 6, Issue 6, June 2016(Impact Factor: 2.5).
41. Pratishtha Parashar, Sanjiv Sharma, “Opinion mining of tourism review using hybrid technique of support vector machine and animal migration optimization” ,International Journal of Innovations in Engineering and Technology (IJIET), ISSN: 2319 – 1058, Volume 7, Issue 1, 718-731,  June 2016.
42. Pooja Mishra, Sanjiv Sharma, “A Comparative Study of Existing Cluster-Based Routing protocols in Wireless Sensor Networks”, SERSC International Journal of Future Generation Communication and Networking, ISSN: 2233-7857 Vol. 9, No. 7, pp. 43-52,2016. 
43. Akrati Sharma, Sanjiv Sharma, “Analysis Of Different Methods For Measuring The Performance Of Database On Cloud Environment”, Cloud Publications, International Journal of Advanced Computer Science and Information Technology, July 2016, Volume 5, Issue 1,  ISSN 2320 – 0235,2016.
44.  Kuldeep Singh Rathore, Sanjiv Sharma,” Web Personalization Based on Enhanced Web Access Pattern using Sequential Pattern Mining”, International Journal Of Engineering And Computer Science,(IJECS), ISSN: 2319-7242, Volume 5, Issues 07, July 2016.
45. Pratishtha Parashar, Sanjiv Sharma, “A Literature Review on Existing Tools and Methods for Researches in the Field of Opinion Mining” International Journal for Science and Advance Research in Technology (IJSART) , ISSN [ONLINE]: 2395- 1052, Volume 2 Issue 7 –July 2016.
46. Kuldeep Singh Rathore, Sanjiv Sharma, ”A Review of Web Personalization and Recommendation for Making Decision using Sequential Pattern”, International Journal for Scientific Research & Development, (IJSRD), ISSN: 2321-0613, Volume 4, Issue 05, July 2016.
47. Akrati Sharma, Sanjiv Sharma, “A Comprehensive Study Of Cloudanalyst Tool And Its Various Algorithms”, International Journal OF Engineering Sciences & Management Research ,ISSN 2349-6193, June 2016 (Impact Factor: 2.556).
48. Kuldeep Singh Rathore, Sanjiv Sharma, “A Review on Web Usage Mining For Web Personalization Using Clustering Techniques”, International Journal of Advanced Research in Computer Science and Software Engineering (IJARCSSE),  ISSN: 2277 128X, Volume 6, Issue 05, May 2016.
49. Pooja Mishra, Sanjiv Sharma,  “Analysis of Clustering Algorithm for Lifetime Improvement in Wireless Sensor Networks”, International Journal of Engineering Trends and Technology (IJATT), ISSN (Online) ISSN: 2231-5381,Vol. 35 Issue 12, May 2016.
50. Pratishtha Parashar, Sanjiv Sharma “A Literature Review on Architecture, Classification Technique and Challenges of Sentiment Analysis” International Journal of Engineering Research & Technology, 2278-0181, Volume. 5 - Issue. 05 , May - 2016
51. Pooja Mishra, Sanjiv Sharma “A Review on Weight Based Clustering Algorithms in Wireless Sensor Networks” International Journal of Advanced Research in Computer and Communication Engineering ,ISSN (Online) 2278-1021, Vol. 5, Issue 4, April 2016.
52. Ajmer Singh Dhakad, Sanjiv Sharma “An Exploration on Existing Methods for Data Aggregation in Wireless Sensor Network” International Journal of Advanced Research in Computer and Communication Engineering, ISSN (Online) 2278-1021, Vol. 5, Issue 4, April 2016.
53. Akrati Sharma, Sanjiv Sharma “Storage of Database on Cloud with Security Issues” International Journal of Current Engineering and Scientific Research (IJCER), ISSN (Online): 2394-0697, Volume-2, Issue-9, 2015.
54. Rishi Parsediya, Sanjiv Sharma “Enhancement of Grid-based Virtual Infrastructure for Efficient Data Dissemination in WSN” International Journal of Research & Development Organisation, ISSN-3785 – 0855,Vol 2 Issue 8 August 2015. 
55. Apurva Tiwari, Sanjiv Sharma “An Evaluation of Classification Methods in Network Packet Protocol status Model for KDD Cup 99 Dataset” International Journal of Modern Trends in Engineering and Research, ISSN [Online]: 2395-1052, Volume:2 Issue:7 Jul ' 2015.
56. Apurva Tiwari, Sanjiv Sharma “A Review of Data Mining Techniques for Detection of DDoS Attack” International Journal for Science And Research In Technology (IJSART) volume 1 Issue 4, ISSN [Online]: 2395-1052,pp 43-49,Jan 2015.
57. Rishi Parsediya, Sanjiv Sharma “A Comparative Study on Data Dissemination Techniques in WSN” International Journal for Science and Research in Technology (IJSART) volume 1 Issue 1, ISSN [Online]: 2395-1052 pp 34-37, Jan 2015.
58. Pallavi Gupta, Sanjiv Sharma “A Survey on Link Prediction Problem in Social Network” International Journal for Science And Research In Technology (IJSART) volume 1 Issue 1, ISSN [Online] : 2395-1052,pp 43-49,JANUARY 2015.
59. Vartika Shah, Sanjiv Sharma “Evaluation of Encryption Method of SNEP for Implementing Security in Wireless Sensor Network using SPINS Framework”  International Journal of Grid and Distributed Computing SERSC( Science & Engineering Research Support society ) Volume 7,No.5, ISSN: 2005-4270(online) Korea, pp 43-52,2014.
60. Ankita Chaturvedi, Sanjiv Sharma “A New Technique for Preventing Black Hole Attack in Mobile Ad-hoc Networks” International Journal of Advances in Computer Science and Technology Volume 3, No.10, ISSN 2320 – 2602,  pp 446-451, October 2014.
61. Rishi Parsediya, Sanjiv Sharma “A Study on Data Dissemination in Wireless Sensor Network” International Journal of Advance Research In Science And Engineering,  Vol-3 issue-1, ISSN: 2319-8354(E),pp 480-493, September 2014.
62. Vartika Shah, Sanjiv Sharma “A Review of Existing Security frameworks and Encryption Methods for Wireless Sensor Networks” International Journal of Innovations and Advancement in Computer Science, Vol-3 issue-2 , ISSN: 2347 – 8616, pp-90-98, April-2014.
63. Aditya Dubey, Sanjiv Sharma “Comparison of Graph Clustering Algorithms” International Journal of computer trends and technology  vol-4 issue-9, ISSN: 2231-2803 3230-3235, sep-2013 
64. Sanjiv Sharma, G.N. Purohit  “A Novel Framework for Tracking Online Community interaction in Social Network” International Journal of Information Acquisition (World Scientific) ,Vol. 9, No. 2,  Aug 2013, Print ISSN: 0219-8789,Online ISSN: 1793-6985  Hefei, Anhui, CHINA.
65. Ankita Chaturvedi, Sanjiv Sharma “Exploring Intrusion Detection Schemes and their Comparison in MANETs” International Journal of Computer Applications, ISSN 0975 – 8887,  71(10):55-59, June 2013. Published by Foundation of Computer Science, New York, USA.
66. Sanjiv Sharma, G.N. Purohit “ A Review of Existing Measures, Methods and Framework for Tracking Online Community in Social Network” International Journal of  computer Applications, 63 (9) :45-50, February 2013,ISSN 0975 – 8887 (Online),USA.
67. Sanjiv Sharma, G.N. Purohit  “Estimation of new Similarity Measures for existing frameworks over Time for tracking Community structure in Online Social Network”  International Journal of Current  Engineering  and Technology, Vol.3,No.1, Jan 2013,430-352,  ISSN 2277 – 4106 (Online),USA.
68. Sanjiv Sharma, G.N. Purohit “Analysis of spectral clustering approach for tracking community formation in Social Network” International Journal of social networking & virtual communities , 2012, Vol.1,No.1,31-37, ISSN: 2252-8784  (Online),Malaysia .
69. Sanjiv Sharma, G.N. Purohit “A New Centrality Measure for Tracking Online Community in Social Network” International Journal of Information Technology and Computer Science, 2012, 4, 47-53, ISSN: 2074-9007 (Print), ISSN: 2074-9015 (Online),Hong Kong.
70. Sanjiv Sharma, G.N. Purohit “Evaluation of Alternative Centrality Measure Algorithm For Tracking Online Community in social network “ International Journal of Engineering Research  “ Volume No.1, Issue No.1, 11-16,Nov.2012 India (Online)India.
71. Sanjiv Sharma, G.N. Purohit “Evaluation of Alternative Centrality Measure Algorithm For Tracking Online Community” WAIMS (World Academy of Informatics and Management Sciences) Volume No.1, Issue No.3 (June-July 2012) (Online)India. 
72. Sanjiv Sharma, R K Gupta “Improved BSP Clustering Algorithm for Social Network Analysis” International Journal of Grid and Distributed Computing SERSC( Science & Engineering Research Support society ) Vol. 3, No. 3, September, 2010 ,67-76, ISSN: 2005-4270(online) Korea.
73. Sanjiv Sharma, N.K.Joshi “Enhancement of existing clustering algorithm for tracking online community in social network” international Journal of Knowledge Engineering & Technology (ISSN No. 0976-5487,Vol. 1 No. 1-2, 9-13 (January-December, 2012)(online).

Presented/ Published Research Paper (National / International Conferences)

1. D. K.Mishra, A. K. Upadhyay, S. Sharma , “Role of big data analytics in manufacturing of intelligent robot” Materials Today: Proceedings, 2021, International Conference on Recent Advances in Design, Materials and Manufacturing (ICRADMM 2020) held on 15th and 16th October 2020 at Amity School of Engineering and Technology, Amity University Madhya Pradesh, Gwalior. ,https://doi.org/10.1016/j.matpr.2021.05.101.
2. D. K.Mishra, A. K. Upadhyay , S. Sharma , “An efficient approach for manufacturing process using Big data analytics ” Materials Today: Proceedings , 2021, , International Conference on Recent Advances in Design, Materials and Manufacturing (ICRADMM 2020) held on 15th and 16th October 2020 at Amity School of Engineering and Technology, Amity University Madhya Pradesh, Gwalior, , https://doi.org/10.1016/j.matpr.2021.05.146 .
3. D. K.Mishra  , A. K. Upadhyay  , S. Sharma , “Text mining in manufacturing process using unsupervised techniques of Machine learning”Materials Today: Proceedings , International Conference on Recent Advances in Design, Materials and Manufacturing (ICRADMM 2020) held on 15th and 16th October 2020 at Amity School of Engineering and Technology, Amity University Madhya Pradesh, Gwalior, https://doi.org/10.1016/j.matpr.2021.05.112,2021.
4. Rajeev Goyal , Arvind K Upadhyay , Sanjiv Sharma , Pankaj K Mishra, “Analysis of Predicting Trust in Complex Online Social Networks”, National Conference on “Smart Materials: Energy and Environment for Smart Cities,  ScienceDirect, Elsevier,  Materials Today: Proceedings 29 (2020) 573–580, ISSN: 2214-7853.
5. Rajeev Goyal , Arvind K Upadhyay , Sanjiv Sharma , “Collaborative Filtering Techniques for Trust Prediction in Online Social Network” International Conference on Sustainable and Innovative Solutions for Current Challenges in Engineering & Technology, ICSISCET 2019: Intelligent Computing Applications for Sustainable Real-World Systems pp 503-512 Online ISBN978-3-030-44758-8, Publisher Name Springer, Cham,April-2020.
6. KK Yadav, Sanjiv Sharma, Manisha Singh “Optimization Approach for Web Customers on Recommendation System Using Collaborative Filtering” presented in the International Conference at Prestige Institute of Management, Gwalior (M.P) on January 6-8, 2019.
7. Rajeev Goyal, Arvind K Upadhyay, Sanjiv Sharma, “Trust Prediction Using Ant Colony Optimization and Particle Swarm Optimization in Social Network”, Proceeding Title: Emerging Trends in Expert Applications and Security, Proceeding Series Title: Advances in Intelligent Systems and computing, Editor: Vijay Singh Ratore, Marcel Worring, DK Mishra,A Joshi,S Maheswari, published in Springer, Jaipur Engineering College and Research Center, International Conference on Emerging Trends in Expert Applications & Security (ICETEAS), 2018,485-491, ISBN : 978-981-13-2285-3,Vol: 841 (Scopus Index).
8. Krishan Kant Yadav,  Manisha Singh, Sanjiv Sharma, “Optimization Approach for Web Customers on Recommendation System Using Collaborative Filtering”  National Conference On  Smart Materials: Energy and Environment for Smart Cities Organized by Amity University Madhya Pradesh Gwalior, 28 February 2018.
9. KK Yadav, Sanjiv Sharma, Manisha Singh “Analysis and Design of Efficient Collaborative Filtering Based Optimization Approach” presented in the International Conference at Prestige Institute of Management, Gwalior (M.P) on January 6-8, 2018.
10. Pragati Sharma, Sanjiv Sharma  “Impact Of Social Media Analysis On Educational Data: A Survey Of Techniques, Tools And Platform “ National Conference On  Smart Materials: Energy and Environment for Smart Cities Organized by Amity University Madhya Pradesh Gwalior, 28 February 2018.
11. Abhishek Bajpai, Sanjiv Sharma, “Diabetic Risk Stratification using Different Data Mining Techniques: A Systematic Review” National Conference On Smart Materials: Energy and Environment for Smart Cities Organized by Amity University Madhya Pradesh Gwalior, 28 February 2018.
12. Devendra Kumar Mishra,  Arvind Kumar Upadhyay, Sanjiv Sharma, “A Study On Challenges In Nanotechnology Based Diagnostics System Using Big Data Analytics” National Conference On  Smart Materials: Energy and Environment for Smart Cities Organized by Amity University Madhya Pradesh Gwalior, 28 February 2018.
13. Deepika Tyagi, Sanjiv Sharma, “Credit Risk Assessment Using Data Mining Approaches: A Review”  National Conference On  Smart Materials: Energy and Environment for Smart Cities Organized by Amity University Madhya Pradesh Gwalior, 28 February 2018.
14. H. K. Soni, S. Sharma and M. Jain, “Plausible Characteristics of Association Rule Mining Algorithms for E-Commerce”, 3rd International Conference on Advances in Electrical, Electronics, Information, Communication and Bio-Informatics (AEEICB17),  IEEE Explore, Chennai, 27-28 Fab,2017(Scopus Index)
15. H. K. Soni, S. Sharma and M. Jain, "Frequent pattern generation algorithms for Association Rule Mining : Strength and challenges," 2016 International Conference on Electrical, Electronics, and Optimization Techniques (ICEEOT), IEEE Explore, Chennai, 2016, pp. 3744-3747. 
16. Mahesh Punia, Sanjiv Sharma “ A Survey on Current Routing Technique in Wireless Ad hoc Network” National Conference on Emerging Trends in Computer Science and communication Technology ,30,06 April 2013 A.N.A. Engineering & Management Studies ,Bareilly(UP).
17. Mitesh Singh Jat, Akhilesh Tiwari, Sanjiv Sharma “Fast & Accurate Pen-Based Handwritten Digits Classification” National Conference on Emerging Trends in Computational Science (NCETCS-2013), 14,8-9 March 2013, NIT Bhopal(MP). 
18. Aditya Dubey, Sanjiv Sharma “Survey of Graph Clustering Algorithms” International Conference on Intelligent Systems and Signal PG Track Processing (ISSP2013),61-65,1-2 March 2013, 978-81-909376-7-2 ©2013IEEE , G H PATEL COLLEGE OF ENGINEERING & TECHNOLOGY Vallabh Vidyanagar Gujarat.
19. Sanjiv Sharma, Mitesh Bargadia “Evaluation of Different Security mechanism in Wireless Network” NCETIT (National annual magazine Emerging Trends in Information Technology) 18-20 December 2007,SGSITS Indore (M.P.). 
20. Sanjiv Sharma “Faster & Efficient Encryption algorithm for Wireless Network” National annual magazine Bhartiya Vigyan Samellan 23-25 Nov 2007,Ravindra Bhavan Bhopal(M.P.). 
21. Sanjiv Sharma, Akhilesh Tiwari “Enhancement of protocol for providing Security in wireless sensor Network” National annual magazine GAMS(Gwalior Academy Mathematical Sciences) April 6-8,2007 , Maulana Azad National Institute of Technology Bhopal(M.P.). 

    Book Chapter 

    1. Sandhu N.S., Sharma S. (2021) Cognitive Transformation Through Social Media. In: Sharma S., Rahaman V., Sinha G.R. (eds) Big Data Analytics in Cognitive Social Media and Literary Texts. Springer, Singapore. https://doi.org/10.1007/978-981-16-4729-1_12
    2. Devendra Kumar Mishra, Sanjiv Sharma, Existing mechanisms for data deduplication, Editor(s): Tin Thein Thwel, G.R. Sinha, Data Deduplication Approaches, Academic Press, 2021, Pages 57-68, ISBN 9780128233955,ScienceDirect.
    3. Valiur Rahaman and Sanjiv Sharma “Basic modeling of 'cognitive sensors' based on literary study of 'thick description' of human behavior” ,Book Title: Advances in Modern Sensors, Physics, design, simulation and applications Published November 2020 • Copyright © IOP Publishing Ltd 2020 Pages 16-1 to 16-15 Online ISBN: 978-0-7503-2707-7 , Nov 2020.
    4. Sanjiv Sharma and Pratistha Dwivedi “A Comparative Study of Existing Mechanisms for    Implementation of OBE in Various Countries  Book Tile: Assessment Tools for Mapping Learning Outcomes With Learning Objectives , Copyright: © 2021, IGI Global, Pages: 198-210,EISBN13: 9781799847854, Sept 2020.
    5. Valiur Rahaman, and Sanjiv Sharma, Book Chapter:” Reading an extremist mind through literary language: approaching cognitive literary hermeneutics to R.N. Tagore’s play The Post Office for neuro-computational predictions”, Book Title: Cognitive Informatics, Computer Modelling, and Cognitive Science Volume 2: Application to Neural Engineering, Robotics, and STEM, published in Elsvier,2020 Edited book by GR Sinha & Jasjit S Suri. Pages 197-210, ISBN: 978-0-12-819445-4.
    6. Sanjiv Sharma and G.N. purohit, Book Chapter : “Methods of Tracking Online Community in Social Network”, Book Title: Social Networking ‐ Mining, Visualization, and Security, Series Title: Intelligent Systems Reference Library, Edited book volume by Panda, Dehuri and Wang, published in Springer,2014,129-146, ISBN : 978-3-319-05164-2.

1. 'Analysis of Wormhole Attack Detection in Customized Ad Hoc Network ' 'Shrivastava, Soumya Johari, Punit Kumar ' Lecture Notes in Networks and Systems, Volume , Year 2023, Pages '831--842 '

2. Review on Collaboration and Coordination Between NPU, Artificial Neural Network & Deep Learning Dushyant Dubey, Jyoti Khandelwal Applications of Machine Intelligence in Engineering, Volume 1, Year 2022, Pages 10

3. LGCBPNN: Determine the Multilayer Neural Network Using Local Gravitational Clustering , Year 2022
4. Multiclass Semantic Segmentation of COVID-19 CT Scan Images using Deep Learning Jaswant Singh Jothe, Punit Kumar Johari Applications of Machine intelligence in Engineering, Volume , Year 2022, Pages
5. Improved Feature Selection Techniques for Image Retrieval based on Metaheuristic Optimization Punit Kumar Johari and Rajendra Kumar Gupta IJCSNS International Journal of Computer Science and Network Security, Volume , Year 2021, Pages
6. COVID-19 CT SCAN IMAGE SEGMENTATION USING TRANSFER LEARNING APPROACH Jaswant Singh Jothe, Punit Kumar Johari International Research Journal of Computer Science, Volume , Year 2021, Pages

7. An improved image retrieval by using texture color descriptors with novel local textural patterns Punit Kumar Johari and Rajendra Kumar Gupta International Journal of Advanced Computer Science and Applications, Volume 11, Year 2020, Pages
277-286

8. Retrieval of Content-Based Images by Fuzzified HSV and Local Textural Pattern Punit Kumar Johari, R. K. Gupta , Volume 13, Year 2020, Pages
9. Call admission control scheme for cellular wireless network using queueing model Kumar Jitendra and Shinde Vikas
Communications in Computer and Information Science, Volume 899, Year 2019, Pages 117-129
10. Analysis on high utility infrequent itemsets mining over transactional database 2016 IEEE International Conference on Recent Trends in Electronics, Information and Communication Technology, RTEICT 2016 - Proceedings, Volume , Year 2017, Pages 897-902
11. An improved approach of CBIR using color based hsv quantization and shape based edge detection algorithm 2016 IEEE International Conference on Recent Trends in Electronics, Information and Communication Technology, RTEICT 2016 - Proceedings, Volume , Year 2017, Pages 1970-1975
12. Privacy preservation of infrequent itemsets mining using GA approach Advances in Intelligent Systems and Computing, Volume 555, Year 2017, Pages 97-104

Published Papers in Journals

1. Sweety Saxena, Vikas Sejwar, Sybil Attack Detection through TDOA-Based Localization Method in Wireless Sensor Network, International journal of emerging Technologies  in Computational and Applied Sciences (IJETCAS), volume 2 issue 9, Aug 2014

2. Sweety Saxena, Vikas Sejwar, Sybil Attack Detection and Analysis of Energy Consumption in Cluster Based Sensor Networks, International journal of Grid distribution computing, volume 7 issue 5, Jul 2014

3. Ankita Sahu,Vikas Sejwar, Enhanced More Secure Trust Based Routing Scheme for DSR Protocol in MANETs, International journal of Grid distribution computing, volume 2 issue 11, 2015

4. Ankita Sahu, Vikas Sejwar, Improved Trust Based Routing Mechanism in DSR Routing Protocol in MANETs, International journal of Future Generation Communication and Networking, volume 8 issue 11, Jan 2015

5. Khushboo Agrawal, Vikas Sejwar, Extensive Survey on Medium Access Control Protocol with Probable Problems, International journal of Communications Systems and Network Technologies (IJCSNT), volume 4 issue1, 2015

6. Khushboo Agrawal, 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

7. Dheerendra Singh Kachhwaha, Vikas Sejwar, Detection and Prevention of wormhole Attack- A Survey, Recent trends in Parallel Computing, volume 2 issue 2, Aug 2015

8. Khushboo Agrawal, Vikas Sejwar, Effect on Throughput due to Changes in Transmission Power of nodes in MANITs, International journal of Future Generation Communication and Networking, volume 8 issue 3, Aug 2015

9. Dheerendra Singh Kachhwaha, Vikas Sejwar, An efficient approach for Detection of Wormhole Attack in MANET, Trends in Opto Electro and Optical Communications, volume 5 issue 2, Sep 2015

10. Geetanjali Batham and Vikas Sejwar “Implementation of Dempster-Shafer Theory for Trust based Communication in MANET” International Journal of Computer Applications, Volume 150 – No.11, September 2016

11. Khushboo Shrivastava and Vikas Sejwar “Behaviour based Detection of Worm Hole Attack and for Secure Transmission use AES in MANET”

12. Shweta Sharma and Vikas Sejwar ” QR Code Steganography for Multiple Image and Text Hiding using Improved RSA-3DWT Algorithm” International Journal of Security and Its Applications, Vol. 10, No. 7, 2016 (Scopus Indexed)

13. Gaurav Jain, Vikas sejwar “A Survey On Security Using Encryption Techniques In Cloud” International Journal of Engineering Development and Research April 2017, Volume 5, Issue 2 pp 326-33

14. Satish Singh Mekale, Vikas sejwar “Improved Performance of SPIN Protocol Using Clustering in Wireless Sensor Network” International Journal for Science and Advance Research In Technology, Volume 3 Issue 4, APRIL 2017

15. Anshu Arele, Vikas Sejwar “A Survey on E-Payment using Quantum and Visual Cryptography” International Journal of advanced research in computer science, vol.4 no.8 May-June2017

16. Shikha Pathak, Vikas sejwar “A Review on Image Segmentation Using Different Optimization Techniques” International Journal of Computer Sciences and Engineering Vol 5 , Issue-5 , May -2017, E-ISSN: 2347-2693

17. Shivangi Agrawal, Vikas Sejwar “Frequent Pattern Model for Crime Recognition” International Journal of Computational Intelligence Research ISSN 0973-1873 Volume 13, Number 6 (2017), pp. 1405-1417

18. Anshu Arele, Vikas Sejwar “Enhanced Online Payment Security using Steganography, Quantum and Visual Cryptography” International Journal of Computer Sciences and Engineering, E-ISSN: 2347-2693, Volume-5, Issue-7, 2015 pp-115-119

19. Hritu Sharma, Vikas Sejwar “Comparative Analysis on various parameters of different-different Routing Protocols in VANET” Journal of Emerging Technologies and Innovative Research, ISSN : 2349-5162, Volume 5 Issue 11 , November-2018

20. Yamini Soni, Vikas Sejwar, “A Diagnosis of Water Quality Prediction” International Journal of Research and Analytical Reviews, E-ISSN 23481269, Volume 6, Issue 1, 2019, pp-752-756

21. Rahul Goyal, Amit Kumar Manjhvar, Vikas Sejwar, “Credit Card Fraud Detection in Data Mining using XGBoost Classifier” International Journal of Recent Technology and Engineering, Volume-9 Issue-1, May 2020, pp 603-608
22. Himanshu Verma, Vikas Sejwar “Fractal-Cell Smart Topology Bandwidth Allocation Model (FAST-BAM)” International Journal of Future Generation Communication and Networking Vol. 13, No. 4, (2020), pp. 800–808

International Conference

1. Preetam Suman,. Dhananjay Bisen, Poonam Tomar, Vikas Sejwar, Rajesh Shukla “Comparative study of Routing Protocols for Mobile Ad-Hoc Networks” IJITKM, Bhopal 2009

2. Sweta Sharma and Vikas Sejwar, paper presented on “Implementation of QR Code based Secure system for Information Sharing using MATLAB” in International conference on Computational Intelligence and Communication Networks, IEEE,Tehri 23-25 Dec 2016 (Scopus Indexed)

3. Satish singh mekale, Vikas Sejwar “comparative study on routing techniques in wireless sensor networks ”International conference on emerging trends in computer science & its applications 07-08 April 2015 Gwalior

4. Shivangi Agrawal, Vikas Sejwar “Crime Identification using FP-Growth and Multi Objective Particle Swarm Optimization” International Conference on Trends in Electronics and Informatics, 2017 IEEE pp 727-734 (Scopus Indexed)

5. Gaurav Jain, Vikas Sejwar “Improving the Security by using Various Cryptographic Techniques in Cloud Computing” International Conference on Intelligent Computing and Control Systems, 2017 IEEE pp 23-28 (Scopus Indexed)

6. Monika Gautam, Vikas Sejwar “A brief review of WSN energy and routing protocols” 2017 International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC) Publication Year IEEE: 05 Oct 2017, Page 849- 855 date of conference 10-11 Feb. 2017 (Scopus Indexed)

7. Shikha Pathak, Vikas sejwar “Optimized Noisy Image Segmentation Using Genetic Algorithm” International Conference on Intelligent Computing and Control Systems, 2017 IEEE pp 23-28 (Scopus Indexed)

8. Vanshika Gupta, Vikas Sejwar, “Facial Expression Recognition with Combination of Geometric and Textural Domain Features Extractor using CNN and Machine Learning” International Conference on Augmented Intelligence and Sustainable Systems (ICAISS-2022 Nov) IEEE, pp 408-415

National Conference

1. Sweta Sharma and Vikas Sejwar, paper presented on “A Comprehensive study on security for digital information with QR code in steganography” in national conference on Advances in information and communication technology, Gwalior, 04-05 Feb 2016

2. Khushboo Shrivastava and Vikas Sejwar, paper presented on “Review on wormhole attack in MANET” in national conference on Advances in information and communication technology, Gwalior, 04-05 Feb 2016

3. Geetangali Bhatam and Vikas Sejwar, paper presented on “A study of cryptographic algorithms for information security” in national conference on Advances in information and communication technology, Gwalior, 04-05 Feb 2016

International Journal

• Laxmi  Dike , Abhilash Sonker, “Malicious Attack On Manet Using Knowledge Of   Received Signal Strength”, IJCSN, vol 5 ,issue 1.pp.1-5,2015.

• Laxmi  Dike , Abhilash Sonker,“Malicious attack on Manet using maximum segment size”, International journal of communication systems & network technology  vol 4  ,issue 1. pp.19-23,2015.

• Madan Pachori, & Abhilash Sonker, “Enhanced MCBDAS for grid based wireless sensor network using two hierarchies of cell head”. International Journal of Computer Science and Network (IJCSN). Vol. 5 Issue 3 pp. 87-95, 2015.

• Madan Pachori, & Abhilash Sonker, “MCBDAS Improve Life Time of Sensor Node for Grid – Based Wireless Sensor Network”. International Journal of Computer & Communication Engineering Research (IJCCER) Volume 3, Issue 5 pp. 83-88, 2015.

• Satyendra Kumar Patel & Abhilash Sonker,” Rule-Based Network Intrusion Detection System for Port Scanning with Efficient Port Scan Detection Rules Using Snort”. International Journal of Future Generation Communication and Networking Vol. 9, No. 6 (2016), pp. 339-350.

• Neha Kushwah, Abhilash Sonker “Identification Of Malicious Behavior Of Vehicle On VANET Using SOM classifier” International Advanced Research Journal of Science,  Engineering And Technology, vol. 3, Issue 7, Pp. 254-260 July 2016.

• Gajendra Singh Dhakar & Abhilash Sonker “A Novel Approach to detect Denial of Service Attack in MANET” International Journal of Communication System and Network Technology (IJCSNT), Vol.5, No.2, May 2016.

• Vikesh Shakya, Abhilash Sonker, “An Optimal Ranking Approach for Cluster Based of Clicked URLs using Firefly Algorithm for Efficient Personalized Web Search”, International Journal of Advanced Research in Computer Science (IJARCS), ISSN:0976-5697 (E)/Volume 8, Issue 4, June 2017.

• Vikesh Shakya, Abhilash Sonker, “A Review on Page Ranking Using Genetic  Algorithm in Web Mining”, International Journal of Engineering Science And  Computing (IJESC), Volume 7, Issue 5, May 2017.

• Garima Agrawal, Abhilash Sonker,"Improving Confidentiality, Integrity, Authenticity in Mobile Wallet", International Journal of Computer Sciences and Engineering (IJCSE)Vol.5, Issue.9,pp. 181-184,2017.

• Garima Agrawal, Abhilash Sonker, “Enhancing Confidentiality, Integrity, Authenticity &Non-repudiation using AES & ECC in MobileWallet”, International Journal of Creative Research Thoughts (IJCRT)Vol.5, Issue. 4,2017.

• Abhishek Agrawal, Abhilash Sonker “A Secure Routing Using Digital Envelope in Mobile Ad Hoc Network” Volume 5, Issue 4, October 2017 in International Journal of Creative Research Thoughts, ISSN No. 2320-2882.

• Abhishek Agrawal, Abhilash Sonker “A Review of Different Routing Protocols in Mobile Ad Hoc Network” Volume 4, Issue 10, October 2017 in International Journal of Advance Engineering and Research Development, ISSN No. 2348-6406.

• Anjali Kaushik,Abhilash Sonker “A Novel Approach to Improve Delivery Ratio in  DTN Routing” Volume 6,Issue 4,April 2019 in Journal of Emerging Technologies and Innovative Research ,ISSN No. 2349-5162.

• Gargi Singhal, Abhilash Sonker “Ensemble voting approach for phishing website prediction by using random tree and bf  tree classifier ” Volume 5,Issue 5,December 2018 in INTERNATIONAL JOURNAL OF RESEARCH AND ANALYTICAL REVIEWS.

• Tanya Bhadouria,Abhilash Sonker “BFA2DEU- A NEWLY ACCURATED   ENSEMBLED CLASSIFIER TO CLASSIFY ATTACK IN IDS” Volume 6,Issue 1,March 2019 in International Journal of Research and Analytical Reviews ,ISSN No. 2349-5138.

• Anuradha Sharma, Abhilash Sonker, “Recognition of Diseases of Leaf using SVM with Radial Basis Kernel Function”, International journal for Research in Applied Science & Engineering Technology, Volume 7, Issue 7, pp. 1152-1160, ISSN: 2321-9653, 2019. 

• Anvesh Parashar, Abhilash Sonker “Application Of Hyperparameter Optimized Deep Learning Neural Network For Classification Of Air Quality Data” Volume 8,Issue 11,Nov 2019 in International Journal of Scientific & Technology Research ,ISSN No. 2277-8616.

• Anvesh Parashar and Abhilash Sonker,"Review on Artificial Neural Network Techniques used for Air Quality Index and Air Pollutants Concentration Prediction ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no. pp 901-907, June 2019,

• Samiksha Khule and Abhilash Sonker,“Survey on intrusion detection system for various attacks in IOT,” Int. J. Res. Appl. Sci. Eng. Technol., vol. 8, no. 6, pp. 1425–1429, 2020.

• Samiksha Khule and Abhilash Sonker,”Network security-based IDS using the convolutional neural network for classification”’ is published in ‘GIS SCIENCE JOURNAL’ An UGC-CARE Approved Group II Journal. 

• Abhilash Sonker and Dr. R. K. Gupta, “A New Combination of Machine Learning Algorithms using Stacking Approach for Misbehavior Detection in VANETs,” International Journal of Computer Science and Network Security, vol. 20, no. 10, pp. 94–100, Oct. 2020, doi: 10.22937/IJCSNS.2020.20.10.13.

• Abhilash Sonker and Dr. R. K. Gupta, “A new procedure for misbehavior detection in vehicular ad-hoc networks using machine learning,” International Journal of Electrical and Computer Engineering (IJECE), vol. 11, no. 3, pp. 2535–2547, 2021. doi: 10.11591/ijece.v11i3.pp2535-2547.

• Deepak, G., Gali, S., Sonker, A. et al. Automatic image captioning system using a deep learning approach. Soft Comput (2023). https://doi.org/10.1007/s00500-023-08544-8.                                                                                                                          
• Renjith, P.N., Sonker, A., Saravanakumar, R. et al. MIMO- Multi Channel Synthetic Aperture Radar System with Higher Visibility for Autonomous Vehicles to Identify Mobile and Immobile Objects. Remote Sens Earth Syst Sci (2023). https://doi.org/10.1007/s41976-023-00087-8

International Conference

• Satyendra Kumar Patel & Abhilash Sonker “Internet protocol identification number based stealth port scan detection using snort” IEEE 8th international conference on computational intelligence and communication networks (CICN) 2016.

• Neha Kushwah & Abhilash Sonker “Malicious Node Detection On Vehicular Ad-Hoc Network Using Dempster Shafer Theory For Denial Of Services Attack” IEEE 8th international conference on Computational Intelligence and Communication networks(CICN) 2016 “.

• Abhishek Agrawal & Abhilash Sonker “Enhancement of Security by using Greedy Approach and Encryption in Mobile Ad Hoc Network” International Conference on Trends in Electronics and Informatics ICEI 2017.

• Anuradha Sharma & Abhilash Sonker “Benefaction of Digital Image Processing Techniques in Quality Assessment of Rose Flower” Computing and Networking Technology (ICCNT), International Conference 2019.

National Conference

• Laxmi  Dike , Abhilash Sonker , “Intrusion Detection System And Techniques for MANET”,AICTE  Sponsored  National  conference on  Advances in Information & communication technology “(NCAICT,2015).

• Madan Pachori & Abhilash Sonker,” A Survey on data aggregation in wireless sensor network”.AICTE sponsored  National conference on Advances in Information and communication technology(NCAICT,2015).

• Satyendra Kumar Patel & Abhilash Sonker “A comparative study of current intrusion detection system” 3rd national conference on advance in information and communication technology, FEB 2016 “.

• Neha Kushwah, Abhilash Sonker “Survey On Malicious Action On VANET” 3rd  National Conference On Advances In Information And Communication Technology, Feb 2016 “.

• Gajendra Singh Dhakar & Abhilash Sonker ”A Survey of attack in MANET” 3rd  National Conference On Advances In Information And Communication Technology, Feb 2016 “.

Rajeev Kumar Singh, Akhilesh Tiwari, R. K. Gupta, “Deep Transfer Modelling for Classification of Maize Plant Leaf Disease” Multimedia Tools and Applications, 81, 6051–6067 (2022). https://doi.org/10.1007/s11042-021-11763-6 (Springer,2022) [SCIE Indexed]

Veena Gugnani, Rajeev Kumar Singh, Analysis of deep learning approaches for air pollution prediction. Multimed Tools Appl 81, 6031–6049 (2022). https://doi.org/10.1007/s11042-021-11734-x (Springer,2022) [SCIE Indexed]

Suchitra Agarwal, Rajeev Kumar Singh, Uday Pratap Singh and S. Jain, "Biogeography Particle Page No. 22 Swarm Optimization Based Counter Propagation Network for Sketch Based Face Recognition," Multimedia Tools and Applications (Springer), IF: 2.10, 2018, ISSN: 1573-7721. 2018 [SCIE Indexed] 

Uday Pratap Singh, S. Jain, A. K. Tiwari and Rajeev Kumar Singh, "Gradient Evolution Based Counter Propagation Network for Approximation of Noncanonical System," Soft Computing (Springer), IF: 2.36, 2018. DOI:10.1007/s00500-018-3160-7, ISSN: 1433-7479. [SCIE Indexed] 

Uday Pratap Singh and S. Jain, A. Tiwari and Rajeev Kumar Singh, "Approximation of Page No. 23 Nonlinear Discrete Time System Using FA Based Neural Network", Granular Computing (Springer), Vol. 3, No. 1, pp. 49-59, 2017, DOI: 10.1007/s41066-017- 0055-4, ISSN: 1433-7479. (SCOPUS),

Uday Pratap Singh, Sanjeev Jain, Akhilesh Tiwari, and Rajeev Kumar Singh, "Nature-Inspired-Based Adaptive Neural Network Approximation for Uncertain System& quot; Handbook of Research on Emergent Applications of Optimization Algorithms. IGI Global USA, 2018. 439-461. Web. 10 Nov. 2017. doi:10.4018/978-1-5225-2990-3.ch019. (SCOPUS),

Uday Pratap Singh, S. Jain, M. Parmar and Rajeev Kumar Singh, “Modified Differential Evolution Algorithm Based Neural Network for Nonlinear Discrete Time System”, Recent Developments in Intelligent Communication Applications (IGI Global), (SCOPUS), Chapter:16, pp.397-420, 2016, ISBN:9781522517856

 Uday Pratap Singh, S. Jain, D. K. Jain and Rajeev Kumar Singh, “An Improved RBFNN Controller for a Class of Nonlinear Discrete-Time Systems with Bounded Disturbance”, Emergent Research on the Application of Optimization Algorithms, (IGI Global), Chapter: 28, pp. 439-461, 2017, ISBN: 9781522529903. (SCOPUS)

Uday Pratap Singh, S. Jain, D. Dubey and Rajeev Kumar Singh, “Momentum and Resilient Based Level Set for Medical Image Segmentation”, Intelligent Multidimensional Data and Image Processing. (IGI Global), Chapter: 15, pp. 311- 342, 2018, ISBN: 9781522535317, DOI: 10.4018/978-1-5225-3531-7.ch015. 2017

S. Agarwal, Rajeev Kumar Singh and Uday Pratap Singh, “Fuzzy Counter Propagation Network for Free Hand Sketches Based Image Retrieval”, Soft Computing: Theories and Applications (Springer, SCOPUS Index), Bundelkhand University Jhansi (U.P.), 22-24 Dec. 2017.

J S Kumre, P. Gupta, Uday Pratap Singh and Rajeev Kumar Singh, “An Efficient Contrast Enhancement Technique Based on Firefly Optimization”, Soft Computing: Theories and Applications (Springer SCOPUS Index), Bundelkhand University Jhansi (U.P.), 22-24 Dec. 2017.

J.S. Kumare, P. Gupta, Uday Pratap Singh and Rajeev Kumar Singh, “An Efficient Brightness preserving Contrast enhancement technique using Discrete wavelet transform and Singular value decomposition wavelet transform and Singular value decomposition", Microelectronics, Computing & Communication Systems (MCCS- 2017, Springer SCOPUS Index), 13-14 May, Ranchi.

Rajeev Kumar Singh, S. Agarwal, Uday Pratap Singh and S. Jain, "Intelligent Image Retrieval via Deep Learning Techniques", Deep Learning for Image Processing Applications, IOS Press, 2017, (SCOPUS Index) DOI: 10.3233/978-1-61499-822-8-68.

Book Edited:-

Soft-Computing-Based Nonlinear Control Systems Design

Indian Grant Patent

Rahul Dubey , Dheraj K Agrawal, Dr. Vivek Tiwari, Dr. Vikram Rajpoot, Ritu Shukla SMART NECKLACE AND WRIST BAND WITH MACHINE LEARNING BASED IMAGE PROCESSING AND GPS Indian Patent Granted with Patent Number 412649 and Grant Date 28/11/2022

SCI/SCIE Papers

Meenakshi Choudhary, Vivek Tiwari, Swati Jain, Vikram Rajpoot “ Person Reidentification using 3D inception based Spatio-temporal features learning, attribute recognition, and Reranking” Multimed Tools Appl(2023) (SCIE Indexed) (Scopus Indexed) (WoS Indexed). https://doi.org/10.1007/s11042-023-15473-z

Vikram Rajpoot, Akhilesh Tiwari & Anand Singh Jalal “Automatic early detection of rice leaf diseases using hybrid deep learning and machine learning methods” Multimed Tools Appl (2023) (SCIE Indexed) (Scopus Indexed) (WoS Indexed). https://doi.org/10.1007/s11042-023-14969-y

Rahul Dubey, Vikram Rajpoot, Ankur Chaturvedi, Abhishek Dixit , Saumil Maheshwari Ball-Bearing Fault Classification Using Comparative Analysis of Wavelet Coefficient based on Entropy Measurement IETE Journal of Research https://doi.org/10.1080/03772063.2022.2142685

Rajpoot, V., Dubey, R., Mannepalli, P.K., Kalyani, P., Maheshwari, S., Dixit, A., Saxena, A. (2022). "Mango plant disease detection system using hybrid BBHE and CNN approach". Traitement du Signal, Vol. 39, No. 3, pp. 1071-1078. (SCIE Indexed) (Scopus Indexed) (WoS Indexed) (Impact Factor: 2.589) https://doi.org/10.18280/ts.390334

Vikram Rajpoot, Rahul Dubey, Safdar Sardar Khan, Saumil Maheshwari, Abhishek Dixit, Arpit Deo, Nikita Vats Dohan Orchard Boumans Algorithm and MRF Approach Based on Full Threshold Segmentation for Dental X-Ray Images, Traitement Du Signal Page: 737-744, DOI: https://doi.org/10.18280/ts.390239

Abhishek Singh Rathore Siddhartha Kumar Arjaria Manish Gupta Gyanendra Chaubey Amit Kumar Mishra Vikram Rajpoot "Erythemato-Squamous Diseases Prediction and Interpretation Using Explainable AI" IETE Journal of Research August 2022 (SCIE Indexed) (Scopus Indexed) (WoS Indexed) (Impact Factor: 1.87) https://doi.org/10.1080/03772063.2022.2114953

Vikram Rajpoot, Lalit Garg, M. Zahid Alam, Vivek Parashar, Pratibhadevi Tapashetti, Tripti Arjariya Analysis of LEACH Robust Routing Approach Applying Machine Learning Techniques in the WSN-based Edge Computing Systems in Computer & Electrical Engineering published by Elsevier (SCIE Indexed) (Scopus Indexed) (WoS Indexed) impact factor 3.818 https://doi.org/10.1016/j.compeleceng.2021.107574

Vikram Rajpoot, Vivek Tiwari, Akash Saxena, Prashant Chaturvedi, Dharmendra Singh Rajput,    Mohammed lkahtani, Mustufa Haider Abidi RSS Based Energy Efficient Selective Clustering Technique Using Master Node for WSN in Computers, Materials & Continua Tech Science Press (SCIE Indexed) (Scopus Indexed) (WoS Indexed) impact factor 3.77 Vol.69, No.3, 2021, pp.3917-3930, doi:10.32604/cmc.2021.015826 

Vikram Rajpoot, Praveen Kumar Mannepalli, Shruti Bhargava Choubey, Parag Sohoni, Prashant Chaturvedi A novel approach for weighted average filter and guided filter based on tunnel image enhancement published in Journal of Intelligent & Fuzzy Systems volume 39 Issue 3 PP 4597-4616 in October 2020 (SCIE Indexed) (Scopus Indexed) (WoS Indexed) impact factor 1.81 DOI:10.3233/JIFS-200551IOS

Scopus Papers

Rahul Mishra, Manish Kumar Gupta, Vikram Rajpoot, “An IoT Based Environmental Strategic Solution For Fire And Air Pollution Using Cloud Computing Platform” published in 5th International Conference on Information Systems and Computer Networks (ISCON) DOI 10.1109/ISCON52037.2021.9702349.

Rahul Mishra, Manish Kumar Gupta, Vikram Rajpoot “Identifying the Future Security Issues Methods for Secure Data in the Cloud Computing” published in 5th International Conference on Information Systems and Computer Networks (ISCON) DOI:10.1109/ISCON52037.2021.9702420.

Tripti Arjariya, Akash Saxena, Vikram Rajpoot, "Concepts of Cloud Computing" Book Rivers, 2022 ISBN-10 ‏ : ‎ 9355153929
ISBN-13 ‏ : ‎ 978-9355153920 Concepts of Cloud Computing - Online Book Stores (bookrivers.com)

Gupta M., Rajpoot V., Chaturvedi A., Agrawal R. “A detailed Study of different Clustering Algorithms in Data Mining” 2nd International Conference on Intelligent Technologies (CONIT) 2022 (Scopus Indexed)10.1109/CONIT55038.2022.9848233.

Research Publications indexed in SCI, SCIE, SCOPUS, Web of Science (WoS), etc.

• Dubey, R., Rajpoot, V., Chaturvedi, A., Dixit, A., Maheshwari, S., “Ball-Bearing Fault Classification Using Comparative Analysis of Wavelet Coefficient based on Entropy Measurement”. IETE Journal of Research, pp. 1-11. (SCIE Indexed) (Scopus Indexed) (WoS Indexed) https://doi.org/10.1080/03772063.2022.2142685
• Rajpoot, V., Dubey, R., Khan, S.S., Maheshwari, S., Dixit, A., Deo, A., Doohan, N.V. (2022). “Orchard Boumans algorithm and MRF approach based on full threshold segmentation for dental X-ray images”. Traitement du Signal, Vol. 39, No. 2, pp. 737-744. (SCIE Indexed) (Scopus Indexed) (WoS Indexed) (Impact Factor: 2.589) https://doi.org/10.18280/ts.390239
• Dixit, A., Tiwari, A., Gupta, R. K., “A Model for Trend Analysis in the Online Shopping Scenario using Multilevel Hesitation Pattern Mining”, in Deep Transfer Learning Models for Complex Multimedia Applications special issue of Mathematical Problems in Engineering, Vol 2021, Article ID 2828262, 11 pages, 2021. (SCIE Indexed) (Scopus Indexed) (WoS Indexed) (Impact Factor: 1.305) https://doi.org/10.1155/2021/2828262
• Dixit, A. Vidwans and P. Sharma, "Improved MFCC and LPC algorithm for bundelkhandi isolated digit speech recognition," 2016 International Conference on Electrical, Electronics, and Optimization Techniques (ICEEOT), 2016, pp. 3755-3759. (Scopus Indexed) doi: 10.1109/ICEEOT.2016.7755413
• Dixit, A. Vidwans and Bisen, A., “An Overview and Comparative Study of Speech Recognition Techniques”, Research & Reviews: A Journal of Embedded System & Applications, vol. 4, Issue 1, 2016. (UGC LISTED)

Book Chapter

• Dixit, A., Tiwari, A., Gupta, R.K. (2022). Exploring Current Trends and Challenges in Hesitation Mining. In: Tiwari, S., Trivedi, M.C., Kolhe, M.L., Mishra, K., Singh, B.K. (eds) Advances in Data and Information Sciences. Lecture Notes in Networks and Systems, vol 318, pp 417–428. Springer, Singapore. (Scopus Indexed) https://doi.org/10.1007/978-981-16-5689-7_37
• Dixit, A., Tiwari, A., Gupta, R. K. (2020). Investigating Multilevel Hesitated Patterns Using Vague Set Theory. In: Pant, M., Kumar Sharma, T., Arya, R., Sahana, B., Zolfagharinia, H. (eds) Soft Computing: Theories and Applications. Advances in Intelligent Systems and Computing, vol 1154, pp 335–345. Springer, Singapore. (Scopus Indexed) https://doi.org/10.1007/978-981-15-4032-5_31

PATENT

Title: IoT Management for shopping mall

Patent No. 2021106671

Date Granted: 17 Nov. 2021

Date of Patent: 23 Aug. 2021

Status: Granted

Expiry Date: 23 Aug. 2029

Agency: Australian Government IP Australia

International Journal papers

1. Nidhi Saxena, & Balasubramanian, R. “Pansharpening scheme using bi-dimensional empirical mode decomposition and convolutional neural network”. ACM Transactions on Multimedia Computing, Communications, and Applications. (Scopus, SCIE) Volume 18, Issue 4, November 2022, Article No.: 108, pp 1–22,  https://doi.org/10.1145/3506709
2. Nidhi Saxena, Gaurav Saxena, “Pansharpening Scheme using Spatial Detail Injection based Convolutional Neural Networks,” IET Image Processing, 2021. (SCI), Doi:10.1049/ipr2.12384
3. Nidhi Saxena and Balasubramanian Raman, “A pansharpening scheme using spectral graph wavelet transforms and convolutional neural networks,” IJRS Taylor & Francis, Volume 42, Issue 8, 2021, Pages 2898-2919 (SCI) Doi: 10.1080/01431161.2020.1864056, SBN/ISSSN No.
4. Nidhi Saxena and K.K. Sharma, “Two dimensional discrete fractional Fourier transform based pansharpening scheme,” IJRS Taylor & Francis,
   Volume 40, Issue 16, Pages 6098-6115, (SCI) Doi: 10.1080/01431161.2019.1587203, SBN/ISSSN No.
5. Nidhi Saxena and K.K. Sharma, “Pansharpening scheme using filtering in two dimensional discrete fractional Fourier transform,” IET Image Processing 12.6, pp.1013-1019, 2018. (SCI) Doi: 1049/iet-ipr.2017.0961, SBN/ISSSN No. 1751-9659
6. Nidhi Saxena and K.K. Sharma, “Pansharpening approach using Hilbert vibration decomposition,” IET Image Processing 11.12, pp.1152-1162, 2017. (SCI) DOI:  10.1049/iet-ipr.2017.0133, SBN/ISSSN No. 1751-9659.
7. Nidhi Saxena and K.K. Sharma, “Hilbert vibration decomposition based image fusion,” Electronics Letters, vol. 52, no. 19, pp. 1605-1607, 2016. (SCI) Doi: 10.1049/el.2016.2270, SBN/ISSSN No. 0013-5194

International Conference papers

1. Nidhi Saxena, N Kishore, R Balasubramanian, “Semantic Segmentation of Multispectral Images using Res-Seg-net Model,” 14th IEEE International conference on Semantic Computing, Pages 154-157, Feb. 3-5, 2020, San Diego, California. ISSN: 2325-6516
2. Nidhi Saxena and K.K. Sharma, “Image fusion scheme using two dimensional discrete fractional Fourier transform,” IEEE International Conference CICT 2017, 3-5 Nov. 17, IIITM Gwalior. ISBN: 978-1-5386-1866-0, DOI: 1109/INFOCOMTECH.2017.8340631
3. Nidhi Saxena and K.K. Sharma, “A hybrid approach for pansharpening using Hilbert vibration decomposition,” IEEE International Conference ICPCSI 2017, 21-22 Sep. 17, Chennai. DOI: 1109/ICPCSI.2017.8392230, ISBN:978-1-5386-0814-2.
4. Nidhi Saxena, “Implementation and comparative analysis of modified AODV routing protocol in mobile Ad-hoc networking”, International conference on Signals, Systems and Automation 2011 (ICSSA2011), pp. 64-67, 24-25 Jan 11, Anand nagar, Gujarat.
5. Nidhi Saxena, “Performance Evaluation of Modified Dynamic MANET on Demand in Mobile Ad-Hoc Network”, International conference on Advances in Communications, Embedded Systems and Computing (ICACEC2011), 14-15 Jan 11, Bhopal.
6. Nidhi Saxena, “Simulation analysis of M-DYMO with MANET Routing Protocol Ad-Hoc Network”, International conference on Electronics communication & instrumentation (Emanthan 2012), pp.345-349, 06-07 April 12, Jhansi, UP.

National Conference papers

1. Nidhi Saxena and K.K. Sharma, “FRFT and HVD based image fusion scheme,” National Conference on Advanced Communication Technologies and Networks at MNIT Jaipur, October 24-25, 2017.
2. Nidhi saxena, “Contrastive Analysis and Simulation of Mobile Ad-hoc Routing Protocols”, National conference on Recent technologies in Electrical, Communication & Control Engineering (ETEIC-2012), pp. 50-52, 04-05 April 12, Agra, UP.
3. Nidhi Saxena, “Effect of Traffic Load and Mobility on Routing Protocols in MANET”, National conference on Electronics communication & instrumentation (Manthan 2010), 02-03 April 10, Jhansi, UP.

Bulbul Agrawal and Manish Dixit, "An Analysis of Different Training Algorithms on Facial Expression Recognition System Using Deep Learning". (Communicated)

Agrawal Bulbul, Shradha Dubey, and Manish Dixit. "Standard Statistical Feature Analysis of Image Features for Facial Images Using Principal Component Analysis and Its Comparative Study with Independent Component Analysis." International Conference on Intelligent Computing and Smart Communication 2019. Springer, Singapore, 2020. (Published)

Bulbul Agrawal and Manish Dixit, “An Explanatory Review of Various Image Enhancement Techniques”, International Journal of Communication System and Network (IJCSN-2019), Volume-9, Issue-I Feb 2019. (Published)

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); AIS Series Springer. (Published)