Cluster-based distributed architecture for prediction of student's performance in higher education. - Lakshmanan Ramanathan; G. Parthasarathy; K. Vijayakumar; L. Lakshmanan; S. Ramani (Clust. Comput., 2019)

Software-defined forensic framework for malware disaster management in Internet of Thing devices for extreme surveillance. - Visu P.; L. Lakshmanan; Murugananthan Velayutham; Meenalosini Vimal Cruz (Comput. Commun., 2019)

Monitoring and sensing COVID-19 symptoms as a precaution using electronic wearable devices. - Josephine M. S.; L. Lakshmanan; Resmi R. Nair; Visu P.; Ganesan R.; Jothikumar R. (Int. J. Pervasive Comput. Commun., 2020)

Time Series-based Driving Event Recognition for Two Wheelers. - Sai Usha Nagasri Goparaju; L. Lakshmanan; Abhinav Navnit; Rahul Biju; Lovish B; Deepak Gangadharan; Aftab M. Hussain (DATE, 2023)

Managing data security in fog computing in IoT devices using noise framework encryption with power probabilistic clustering algorithm. - M. Jalasri; L. Lakshmanan (Clust. Comput., 2023)

A novel method for optimizing energy consumption in wireless sensor network using genetic algorithm. - Dilip Kumar Jang Bahadur; L. Lakshmanan (Microprocess. Microsystems, 2023)

Intelligent data deduplication with Deep Transfer Learning Enabled Classification Model for Cloud-based Healthcare System. - N. Mageshkumar; L. Lakshmanan (Expert Syst. Appl., 2023)

Architecture of a Two-wheeler Mobile Sensing Platform for Riding Data Collection. - L. Lakshmanan; Brahad Kokad; Aftab M. Hussain (ICVES, 2024)

An improved data aggregation for fog computing devices in internet of things. - M. Jalasri; L. Lakshmanan (Int. J. Netw. Virtual Organisations, 2024)