Budania, S., Kittur, J. and Shenoy, M.V. (2025) ‘Efficient edge AI implementation for IoT device identification for hierarchical federated learning’, Int. J. Embedded Systems, Vol. 18, No. 1, pp.61–73.
Sumitra, J. Sharma and M. V. Shenoy, "HAFedL: A Hessian-Aware Adaptive Privacy Preserving Horizontal Federated Learning Scheme for IoT Applications," in IEEE Access, vol. 12, pp. 126738-126753, 2024, doi: 10.1109/ACCESS.2024.3454074.
Sumitra Budania, Meetha V. Shenoy,RPL*: An Explainable AI-based routing protocol for Internet of Mobile Things,Internet of Things,Volume 27,2024,101283,ISSN 2542-6605,https://doi.org/10.1016/j.iot.2024.101283.
Batra, A., & Meetha V Shenoy (2024). A Drone Based Image Dataset Generation Methodology for Single Image Super Resolution. Defence Science Journal, 74(4), 535-545.
Sumitra Budania and Meetha V Shenoy. 2024. OEAD: An Online Ensemble-based Anomaly Detection technique for RPL network. In Proceedings of the 25th International Conference on Distributed Computing and Networking (ICDCN '24). Association for Computing Machinery, New York, NY, USA, 316–321. https://doi.org/10.1145/3631461.3631958
J. Kittur and M. V. Shenoy, "Design and Analysis of a Soft-Robotic Finger for Grasping Agricultural Products," 2023 10th IEEE Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (UPCON), Gautam Buddha Nagar, India, 2023, pp. 1339-1344, doi: 10.1109/UPCON59197.2023.10434358.
Amul Batra, Meetha V Shenoy, NICSR- A deep learning based Noise Identification and Compensation technique for Super-Resolution of drone captured images (Accepted for Publication in Lecture Notes in Networks and Systems (LNNS, Springer), 2024
J. Pandey, A. R. Asati, M. V. Shenoy and P. Sikka, "Verification of Hardware Resource Utilization through High Level Synthesis for FPGA Implementation," 2023 4th IEEE Global Conference for Advancement in Technology (GCAT), Bangalore, India, 2023, pp. 1-6, doi: 10.1109/GCAT59970.2023.10353312.
M. V. Shenoy, S. Sridhar, G. Salaka, A. Gupta and R. Gupta, "A Holistic Framework for Crime Prevention, Response, and Analysis With Emphasis on Women Safety Using Technology and Societal Participation," in IEEE Access, vol. 9, pp. 66188-66207, 2021, doi: 10.1109/ACCESS.2021.3076016.(SCI Indexed Journal)
Sumitra, Meetha V. Shenoy, "HFedDI: A novel privacy preserving horizontal federated learning based scheme for IoT device identification", Journal of Network and Computer Applications,2023,103616, ISSN 1084-8045,https://doi.org/10.1016/j.jnca.2023.103616.(SCI Indexed Journal)
B. K. Sayyida, V. S. Meetha and C. Nitin, "Hybrid Consensus and Recovery Block based Detection of Ripe Coffee Cherry Bunches using RGB-D Sensor," in IEEE Sensors Journal, 2021.(SCI Indexed Journal)
Sumitra and M. V. Shenoy, "Threat Intelligence System for Internet of Things based Smart Environments using Unsupervised Learning," 2022 IEEE 19th India Council International Conference (INDICON), India, 2022, pp. 1-6, doi: 10.1109/INDICON56171.2022.10039898.
Meetha V Shenoy, Karuppiah, A., & Manjarekar, N. (2019). A lightweight ANN based robust localization technique for rapid deployment of autonomous systems.Journal of Ambient Intelligence and Humanized Computing.(SCI Indexed Journal)
Meetha V Shenoy, K R Anupama, ”Swarm-Sync: A distributed global time synchronization framework for swarm robotic systems” in Pervasive and Mobile Computing, Elsevier, Pervasive and Mobile Computing 44C (2018) pp. 1-30. (SCI Indexed Journal)
Meetha V Shenoy, K R Anupama, ”DTTA- Distributed,Time-division Multiple access based Task Allocation Framework for Swarm Robots” -Defence Science Journal . May2017, Vol.67 Issue 3, p316-324. 9p. (SCI Indexed Journal)
M. Shenoy, A. Roy, S. Misra, "QoI-Aware Camera Network-as-a-Service for Social Behavior Analysis,'' in the IEEE International Conference on Communications (ICC), Montreal, Canada, 2021.
B. K and M. V. Shenoy, "Cherry Plucking Strategies for Coffee Harvester," 2021 International Conference on Control, Automation and Robotics (ICCAR), Singapore, 2021, pp. 151-155.
Pandey, J., Asati, A. and Shenoy, M., 2021. A Novel Method for Suitable Hyperparameter Selection in an Accurate Convolutional Neural Network Architecture, Lecture Notes in Networks and Systems book series (LNNS, volume 288)
Jyoti Pandey, Abhijit Asati and Meetha Shenoy, "Computational Operations and Hardware Resource Estimation in a Convolutional Neural Network Architecture. In: Roy, S., Sinwar, D., Perumal, T., Slowik, A., Tavares, J.M.R.S. (eds) Innovations in Computational Intelligence and Computer Vision . Advances in Intelligent Systems and Computing, vol 1424. Springer, Singapore.
M. V. Shenoy, K. R. Anupama, N. Manjrekar and M. M. Shamsi, "Indoor localization in NLOS conditions using asynchronous WSN and neural network," 2017 International Conference on Communication and Signal Processing (ICCSP), CHENNAI, India, 2017, pp. 2130-2134. doi: 10.1109/ICCSP.2017.8286782
K. R. Anupama, M. V. Shenoy and S. S. R. CH, ”BSwarm robot — A low cost mobile wireless sensor research platform using COTS products,” 2015 IEEE International Conference on Signal Processing, Informatics, Communication and Energy Systems (SPICES), Kozhikode, 2015, pp. 1-5. doi: 10.1109/SPICES.2015.7091533.
Anupama, K.R., M. V. Shenoy, and S. S. Reddy, “Platform for biomimetic swarms,” in ACM Proceedings of the 2015 Conference on Advances In Robotics (AIR), Goa, 2015, pp. 1-6. DOI: http://dx.doi.org/10.1145/2783449.2783513.
Anupama, K.R., Reddy, C.S.S., and M. V. Shenoy, ”FlexEye — A flexible camera mote for sensor networks,” 2015 2nd International Conference on Signal Processing and Integrated Networks (SPIN), Noida, 2015, pp. 1010-1015.doi: 10.1109/SPIN.2015.7095332.
M. V. Shenoy, K. S. Varghese and M. S. Upadhyaya, "A 8-bit SAR ADC using current mode approach for bio-medical applications," 2014 IEEE National Conference on Communication, Signal Processing and Networking (NCCSN), Palakkad, 2014, pp. 1-5. doi: 10.1109/NCCSN.2014.7001152
Shenoy M.V. (2020) Sensor Information Processing for Wearable IoT Devices. In: Principles of Internet of Things (IoT) Ecosystem: Insight Paradigm. Intelligent Systems Reference Library, vol 174. Springer, Cham