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

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

Journal Publications

• Devanshu Tiwari, Manish Dixit et al. "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 30.5 (2022): 1804-1820. (SCIE indexed journal).
• Devanshu Tiwari, Manish Dixit et al. "Deep Multi-View Breast Cancer Detection: A Multi-View Concatenated Infrared Thermal Images Based Breast Cancer Detection System Using Deep Transfer Learning." Traitement du Signal 38.6 (2021): 1699-1711.(SCIE Indexed journal).
• KR Bhatele, A Jha, Devanshu Tiwari et al. "Covid-19 detection: A systematic review of machine and deep learning-based approaches utilizing chest x-rays and ct scans." Cognitive Computation, Springer (2022): 1-38. (SCIE Indexed journal).
• KR Bhatele, A Jha, K . Kapoor, Devanshu Tiwari et al. "Neurodegenerative diseases-Caps: a capsule network based early screening system for the classification of neurodegenerative diseases." Cognitive Neurodynamics, Springer 16.6 (2022): 1361-1377. (SCIE Indexed Journal).

Conference Publications

• Devanshu Tiwari, Manish Dixit et al. "The Classification of Breast Cancer Based on Hyper-Tuned AdaBoost Ensemble Model." Machine Intelligence Techniques for Data Analysis and Signal Processing: Proceedings of the 4th International Conference MISP 2022, Volume 1. Singapore: Springer Nature Singapore, 2023. (Scopus indexed conference).
• Devanshu Tiwari, Manish Dixit et al. "Performance Comparison of the Resnet50 and Inceptionv3 Deep Transfer Learning models over the Breast Cancer Thermo Gram dataset". Two Day Virtual International Conference on Technological Developments in Computer Applications (VICTDCA-2021) at the Bhopal School of Social Sciences, 24-25 March 2021.
• Devanshu Tiwari,"Breast Cancer prediction using Hyper Tuned AdaBoost Classifier". 34th National Convention of Computer Engineers and National Conference on the theme Industrial and Medical Application of Artificial Intelligence organized by the Institution of Engineers (India). 20-21 November, 2021.
• Devanshu Tiwari, "An Automated System for the early screening of Breast Cancer Abnormalities Utilizing the Thermal Images Based On Deep Transfer Learning". 37th M.P. Young scientist Congress by M.P. Council of Science and Technology. 14-17 March, 2022.

International Journal Publications (SCI/SCIE/Scopus Indexed)

1. Pandey, U., Chandra, S. K., & Soni, G. (2024). Enhancing Sensor Node Lifespan in WSNs through Traffic-Adaptive Duty Cycle MAC (TDC-MAC) Protocol. Journal of Electrical Systems, 20(10), 6209–6218. ESR Groups. (Scopus)

2. Lakkshmanan, A., Soni, G., Mishra, A. K., Arumugam, S. K., & Tyagi, A. K. (2024). A Deep Learning-Based Credit Card Fraud Detection Using Feature Engineering: An Analytical Approach. Journal of Autonomous Intelligence, 5(7), 1–7. Frontier Scientific Publishing. DOI: https://doi.org/10.32629/jai.v7i5.1477 (Scopus)

3. Soni, G. & Selvaradjou, K. (2023). A Dynamic Allocation Scheme of Scheduled Slots for Real-Time Heterogeneous Traffic in IEEE 802.15.6 Standard for Scheduled Access Mechanism. Journal of Ambient Intelligence and Humanized Computing, 14(1), 237–256. Springer. DOI: https://doi.org/10.1007/s12652-021-03288-5 (SCIE, Scopus, IF: 4.95)

4. Soni, G. & Selvaradjou, K. (2022). Optimal GTS Distribution to Heterogeneous Sensors in IEEE 802.15.4 Network for Healthcare Monitoring Applications. Personal and Ubiquitous Computing, 26, 131–153. Springer. DOI: https://doi.org/10.1007/s00779-021-01643-z (SCIE, Scopus, IF: 3.006)

5. Soni, G. & Selvaradjou, K. (2021). A Robust Guaranteed Time Slots Allotment Scheme for Real-Time and Reliable Communication in WBANs. International Journal of Ad Hoc and Ubiquitous Computing, 36(2), 102–113. Inderscience. DOI: 10.1504/IJAHUC.2021.10035743 (SCIE, Scopus, IF: 0.773)

6. Soni, G. & Selvaradjou, K. (2020). Performance Evaluation of Wireless Sensor Network MAC Protocols with Early Sleep Problem. International Journal of Communication Networks and Distributed Systems, 25(2), 123–144. Inderscience. DOI: 10.1504/IJCNDS.2020.108875 (Scopus, ESCI, CiteScore: 1.9)

7. Soni, G. & Selvaradjou, K. (2021). Rational Allocation of Guaranteed Time Slots to Support Real-Time Traffic in Wireless Body Area Networks. International Journal of Sensors, Wireless Communications and Control, 11(8), 858–871. Bentham Science Publishers. DOI: https://doi.org/10.2174/2210327911666210308155147 (Scopus, CiteScore: 0.9)

8. Soni, G. & Selvaradjou, K. (2021). The Finest Superframe Interval and GTS Provision Scheme (FSGPS) for Time-Sensitive IEEE 802.15.4 Applications. SN Computer Science, 2(5), 1–17. Springer. DOI: https://doi.org/10.1007/s42979-021-00769-4 (Scopus)

9. Soni, G. & Kalra, M. (2013). Comparative Study of Live Virtual Machine Migration Techniques in Cloud. International Journal of Computer Applications, 84(14). Foundation of Computer Science. ISBN: 973-93-80892-43-1 | ISSN: 0975-8887 (Scopus, CiteScore: 0.835)

International Conferences

1. Amit Kumar Tyagi, D Sathian, Khushboo Tripathi, Arnav R, Gulshan Soni (2023). Role of Artificial Intelligence and Internet of Things (IoT) in the automobile industry: Research Gaps and Challenges for Society. In 2023 International Conference on Computer Communication and Informatics (ICCCI 2023), IEEE. (Scopus Indexed) (Paper accepted and presented)

2. Gulshan Soni, Vijayaprabakaran K, Anandkumar R, Uma Shankar Pandey (2023). A Fuzzy Logic Based Objective Function to Improve Reliability of RPL Routing Protocol in LLNs. In OPJU International Technology Conference on Emerging Technologies for Sustainable Development, pp. 01–06, IEEE. DOI: 10.1109/OTCON56053.2023.10113920 (Scopus Indexed)

3. Uma Shankar Pandey, Gulshan Soni, Saroj Kumar Chandra (2023). Dynamic Duty Cycle Based MAC Protocols – A Comprehensive Survey. In OPJU International Technology Conference on Emerging Technologies for Sustainable Development, pp. 01–06, IEEE. DOI: 10.1109/OTCON56053.2023.10113951 (Scopus Indexed)

4. Uma Shankar Pandey, Gulshan Soni, Saroj Kumar Chandra (2023). The Impact of Alteration of Superframe Duration on the Consumption of Energy in IEEE 802.15.4. In 5th International Conference on Smart Systems and Inventive Technology, pp. 254–260, IEEE. DOI: 10.1109/ICSSIT55814.2023.10061143 (Scopus Indexed)

5. Sanskar Srivastava, Anshu, Rohit Bansal, Gulshan Soni, Amit Kumar Tyagi (2022). Blockchain Enabled Internet of Things: Current Scenario and Open Challenges for Future. In 12th World Congress on Information and Communication Technologies, pp. 640–648, Springer. DOI: 10.1007/978-3-031-27499-2_59 (Scopus Indexed)

6. Soni, G., Selvaradjou Ka. (2020). Performance Evaluation of MAC Protocols with Static and Dynamic Duty Cycle in WSNs. In International Conference on Advanced Computing and Intelligent Engineering, pp. 403–416, Springer. DOI: 10.1007/978-981-15-1483-8_34 (Scopus Indexed)

7. Soni, G., Selvaradjou Ka. (2017). Smart Garbage Bin Systems – A Comprehensive Survey. In International Conference on Intelligent Information Technologies, pp. 194–206, Springer. DOI: 10.1007/978-981-10-7635-0_15 (Scopus Indexed)

8. Soni, G., Kalra, Mala (2014). A Novel Approach for Load Balancing in Cloud Data Center. In International Advance Computing Conference (IACC), pp. 807–812, IEEE. DOI: 10.1109/IAdCC.2014.6779427 (Scopus Indexed)

9. Soni, G., Kalra, Mala (2014). Comparative Study of Various Load Balancing Techniques in Cloud. In International Conference on Computer Networks and Information Technology (ICCNIT 2014), National Institute of Technical Teachers Training and Research, Chandigarh, March 20–21, 2014.

10. Soni, G., Gupta, Umesh, Singh, Nikhil (2013). Analysis of Modified Substitution Encryption Techniques. In IEEE International Conference on Advanced Research in Engineering and Technology (ICARET), K L University, Vaddeswaram, Andhra Pradesh, India, Feb. 8–9. ISBN: 9781634392402.

11. Gupta, Umesh, Soni, G., Singh, Nikhil (2013). Intrusion Detection System for WSN: A Review. In IEEE International Conference on Advanced Research in Engineering and Technology (ICARET), K L University, Vaddeswaram, Andhra Pradesh, India, Feb. 8–9. ISBN: 9781634392402 Academia.edu Link

National Conferences

1. Soni, G. (2011). Mobireal Simulator Communication Between Mobile Nodes using Routing Protocol in MANETs. In National Conference on NCRTEMS-2011, February 24, 2011.

2. Soni, G. (2011). Vision-Based Hand Gesture Recognition Techniques: A Review. In National Conference on ETCSIT-2011, April 21, 2011.

Book Chapters Details

1. Menon, Sanjana Chelat, Sanjana Prasad, and Gulshan Soni (2022). Preserving Privacy of Patients With Disabilities in the Smart Healthcare Systems. In Using Multimedia Systems, Tools, and Technologies for Smart Healthcare Services, edited by Amit Kumar Tyagi, pp. 191–205. Hershey, PA: IGI Global. DOI: 10.4018/978-1-6684-5741-2.ch012. (Scopus Indexed)

2. Menon, Sanjana Chelat, Umayal V. R., Gulshan Soni, Aymaan Baig, and Amit Kumar Tyagi (2022). A Visual Framework for an IoT-Based Healthcare System Based on Cloud Computing. In Using Multimedia Systems, Tools, and Technologies for Smart Healthcare Services, edited by Amit Kumar Tyagi, pp. 83–95. Hershey, PA: IGI Global. DOI: 10.4018/978-1-6684-5741-2.ch006. (Scopus Indexed)

3. Akbar Ali Khan, Prakriti Dwivedi, Sareeta Mugde, S.A. Sajidha, Garima Sharma, and Gulshan Soni (2022). Toward Automated Machine Learning for Genomics: Evaluation and Comparison of State-of-the-Art AutoML Approaches. In Data Science for Genomics, edited by Amit Kumar Tyagi and Ajith Abraham, pp. 129–152. Academic Press, Elsevier. DOI: 10.1016/B978-0-323-98352-5.00017-3. (Scopus Indexed)

4. Susindhar V, Amit Tyagi, and Gulshan Soni (2022). A Review on Recent Trends in Quantum Computation Technology. In Handbook of Research on Quantum Computing for Smart Environments, edited by Amit Kumar Tyagi, pp. 17. Hershey, PA: IGI Global. DOI: 10.4018/978-1-6684-6697-1.ch003. (Scopus Indexed)

5. Sasi P, Amit Tyagi, and Gulshan Soni (2022). Quantum Computing and the Qubit—The Future of Artificial Intelligence. In Handbook of Research on Quantum Computing for Smart Environments, edited by Amit Kumar Tyagi, pp. 14. Hershey, PA: IGI Global. DOI: 10.4018/978-1-6684-6697-1.ch013. (Scopus Indexed)

6. Atharva Deshmukh, Disha Sunil Patil, and Gulshan Soni (2022). Cyber Security—New Realities for Industry 4.0 and Society 5.0. In Handbook of Research on Quantum Computing for Smart Environments, edited by Amit Kumar Tyagi, pp. 27. Hershey, PA: IGI Global. DOI: 10.4018/978-1-6684-6697-1.ch017. (Scopus Indexed)

7. Hariharan R, Amit Kumar Tyagi, and Gulshan Soni (2023). A Survey on Blockchain–Internet of Things-Based Solutions. In Privacy Preservation and Secured Data Storage in Cloud Computing, edited by Lakshmi D. and Amit Kumar Tyagi, pp. 108–134. Hershey, PA: IGI Global. DOI: 10.4018/979-8-3693-0593-5.ch005. (Scopus Indexed)

8. Amit Kumar Tyagi, Timothy Thomas George, and Gulshan Soni (2023). Blockchain-Based Cybersecurity in Internet of Medical Things (IoMT)-Based Assistive Systems. In AI-Based Digital Health Communication for Securing Assistive Systems, edited by Vijeyananthan Thayananthan, pp. 22–53. Hershey, PA: IGI Global. DOI: 10.4018/978-1-6684-8938-3.ch002. (Scopus Indexed)

9. Amit Kumar Tyagi, V. Hemamalini, and Gulshan Soni (2023). Digital Health Communication With Artificial Intelligence-Based Cyber Security. In AI-Based Digital Health Communication for Securing Assistive Systems, edited by Vijeyananthan Thayananthan, pp. 178–213. Hershey, PA: IGI Global. DOI: 10.4018/978-1-6684-8938-3.ch009. (Scopus Indexed)

Edited Book Publication Details

1. Tyagi, A.K., Tiwari, S., and Soni, G. (2025). Data Analytics and Artificial Intelligence for Predictive Maintenance in Smart Manufacturing. Boca Raton, FL: CRC Press.
   ISBN: 9781032769523. (Scopus Indexed)

• Shradha Dubey, Manish Dixit, “Recent Developments on Computer Aided Systems for Diagnosis of Diabetic Retinopathy: A Review”, Multimedia Tools and Applications (2022), 82(10), pp. 14471–14525, DOI: https://doi.org/10.1007/s11042-022-13841-9 (SCIE)
• Shradha Dubey, Manish Dixit, “A comprehensive survey on human pose estimation approaches.” Multimedia Systems (2022), 29(1), pp. 167–195, DOI: https://doi.org/10.1007/s00530-022-00980-0 (SCI)
• Shradha Dubey, Manish Dixit, “An Automated Diagnosis of Diabetic Macular Edema Grading using Transfer Learning” at the 1^st IEEE International Conference on “Innovations in High-Speed Communication and Signal Processing” (IHCSP) organized by MANIT, Bhopal from 4^th - 5^th March 2023 pp 336-341 DOI:1109/IHCSP56702.2023.10127139 (SCOPUS)
• Vikrant Chole, Shradha Dubey, Jhankar, Santosh Sahu, “Artificial Intelligence based optimization model for Pruning in Game Playing System” in International Conference on Artificial Intelligence in Higher Education Institutions: Transforming Teaching, Learning, and Research (AIHEITTLR 2024) organized by Amity School of Engineering and Technology, Amity University Madhya Pradesh, Gwalior on 24th September 2024.
• 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, pp: 103-130 (2024) ISBN: 978-981-5179-13-2 Chapter No. 7. DOI: 2174/9789815179125124010012
• 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://link.springer.com/chapter/10.1007/978-3-030-44758-8_34
• Bulbul Agrawal, Shradha Dubey, Manish Dixit, A paper titled “Statistical Feature Analysis of Image Features using PCA and its comparative analysis with ICA”, pp 1027-1048, in the International Conference on Intelligent Computing and Smart Communication (ICSC-2019) organized by THDC- Institute of Hydropower Engineering Technology, Tehri, Uttarakhand & SoE Cochin University of Science and Technology, Kerela Cochin. DOI: https://link.springer.com/chapter/10.1007/978-981-15-0633-8_104
• Shradha Dubey, Manish Dixit, A research paper on “Facial Expression Recognition using CNN,” IJCSNT, Vol.8, No.1, pp 1-10, 2019 DOI: 18486/ijcsnt.2019.8.1.01.

Journal Publications (SCI / SCIE / SCOPUS / WoS Indexed):

• S. Agrawal, A. Tiwari, B. Yaduvanshi, and P. Rajak, “Differential Evolution with Nearest Better Clustering for Multimodal Multiobjective Optimization,” Applied Soft Computing (Elsevier), vol. 48, pp. 110852, 2023.
• S. Agrawal, A. Tiwari, B. Yaduvanshi, and P. Rajak, “Feature Subset Selection using Multimodal Multiobjective Differential Evolution,” Knowledge-Based Systems (Elsevier), vol. 265, pp. 110361, 2023.
• S. Agrawal and A. Tiwari, “Solving Multimodal Optimization Problems using Adaptive Differential Evolution with Archive,” Information Sciences (Elsevier), vol. 612, pp. 1024–1044, 2022.
• S. Agrawal, A. Tiwari, P. Naik, and A. Shrivastava, “Improved Differential Evolution based on Multi-Armed Bandit for Multimodal Optimization Problems,” Applied Intelligence (Springer), vol. 51(11), pp. 7625–7646, 2021.
• S. Agrawal, R. K. Singh, U. P. Singh, and S. Jain, “Biogeography Particle Swarm Optimization based Counter Propagation Network for Sketch-Based Face Recognition,” Multimedia Tools and Applications (Springer), vol. 78(8), pp. 9801–9825, 2019.
• S. Agrawal, R. K. Singh, and U. P. Singh, “Adaptive Neural Network for Sketch-Based Image Retrieval,” International Journal of Advanced Research in Computer Science, vol. 8(7), pp. 848–852, 2017.

Conference Publications:

• S. Singh, A. Tiwari, and S. Agrawal, “Differential Evolution Algorithm for Multimodal Optimization: A Short Survey,” in Proceedings of Soft Computing for Problem Solving (SocProS), Indore, India, 2020, vol. 2, pp. 745–756.
• T. K. Barsiya, L. Bhargava, A. Tiwari, S. Agrawal, and A. Saxena, “Implementation of Brain Tumor Segmentation using CNN Deep Learning Algorithm,” in Proceedings of Soft Computing for Problem Solving (SocProS), Indore, India, 2020, vol. 2, pp. 757–765.
• S. Agrawal, A. Tiwari, and I. Goel, “Genetically Optimized Deep Neural Learning for Breast Cancer Prediction,” in Proceedings of Soft Computing for Problem Solving (SocProS), Liverpool, UK, 2019, vol. 2, pp. 127–139.
• S. Agrawal, R. K. Singh, and U. P. Singh, “Fuzzy Counter Propagation Network for Free-Hand Sketch-Based Image Retrieval,” in Proceedings of Soft Computing: Theories and Applications (SoCTA), Jhansi, India, 2017, pp. 171–180.

Book Chapter:

• R. K. Singh, S. Agrawal, U. P. Singh, and S. Jain, “Intelligent Image Retrieval via Deep Learning Techniques,” in Deep Learning for Image Processing Applications, Advances in Parallel Computing (IOS Press), vol. 31, pp. 68–93, 2017.