Induction Motor Speed Variations and Control Using-Learning Algorithms. - Bala Venkata Subbarayudu Chilukuri; Prateek Chaturvedi; Payal Deshpande; Shivangi Barthwal; Sanjiv Kumar Jain; Ashish Parmar (IC3I, 2022)

Transfer Learning Approach on Bacteria Classification from Microscopic Images. - Anupam Singh; Abhishek Kumar; Hayder M. Salman; Navneet Rawat; Sanjiv Kumar Jain; Annam Takshitha Rao (IC3I, 2022)

Cloud-based bug tracking software defects analysis using deep learning. - Tao Hai; Jincheng Zhou; Ning Li; Sanjiv Kumar Jain; Shweta Agrawal; Imed Ben Dhaou (J. Cloud Comput., 2022)

BVFLEMR: an integrated federated learning and blockchain technology for cloud-based medical records recommendation system. - Tao Hai; Jincheng Zhou; S. R. Srividhya; Sanjiv Kumar Jain; Praise Young; Shweta Agrawal (J. Cloud Comput., 2022)

Predicting Lumbar Spondylolisthesis: A Hybrid Deep Learning Approach. - Deepika Saravagi; Shweta Agrawal; Manisha Saravagi; Sanjiv Kumar Jain; Bhisham Sharma; Abolfazl Mehbodniya; Subrata Chowdhury; Julian L. Webber (Intell. Autom. Soft Comput., 2023)

Task scheduling in cloud environment: optimization, security prioritization and processor selection schemes. - Tao Hai; Jincheng Zhou; Dayang N. A. Jawawi; Dan Wang; Uzoma I. Oduah; Cresantus N. Biamba; Sanjiv Kumar Jain (J. Cloud Comput., 2023)

An innovation analysis of Machine Learning model to Automate Network Anomaly Detection through Time Series Analysis. - Aruna Sri Rongali; Anjum Nazir Qureshi; Jyoti Upadhyay; P. Lavanya; Nanditha S. Matad; Sanjiv Kumar Jain (ICCCNT, 2024)

Decision-making system for agile manufacturing implementation: a fuzzy-based simulation. - Rahul Kumar; Kanwarpreet Singh; Sanjiv Kumar Jain (Int. J. Bus. Inf. Syst., 2024)