Pervasive computational model and wearable devices for prediction of respiratory symptoms in progression of COVID-19. - Jagadeesan Dhanapal; Badrinath Narayanamurthy; Vijayakumar Shanmugam; Asha Gangadharan; Magesh S. (Int. J. Pervasive Comput. Commun., 2020)

Pervasive computing in the context of COVID-19 prediction with AI-based algorithms. - Magesh S.; Niveditha V. R.; Rajakumar P. S.; Radha RamMohan S.; Natrayan Lakshmaiya (Int. J. Pervasive Comput. Commun., 2020)

Design and Development of Customer Relationship Management Recommendations by Clustering and Profiling of Customers Using RFM. - K. Manikandan; Niveditha V. R.; Sudha K.; Magesh S.; Radha RamMohan S. (Int. J. e Collab., 2021)

Emerging 5G IoT Smart System Based on Edge-to-Cloud Computing Platform. - Niveditha V. R.; D. Usha; Rajakumar P. S.; B. Dwarakanath; Magesh S. (Int. J. e Collab., 2021)

Monitoring and analysis of the recovery rate of Covid-19 positive cases to prevent dangerous stage using IoT and sensors. - K. R. Kumar; Iyapparaja Meenakshisundaram; Niveditha V. R.; Magesh S.; G. Magesh; Shanmugasundaram Marappan (Int. J. Pervasive Comput. Commun., 2022)

Deep Learning Algorithm Based Pregnant Women Heart Disease Prediction using Heart Beats. - Rajakumar P. S.; Magesh S. (Int. J. Syst. Syst. Eng., 2026)