Predictive Assessment of Fetus Features Using Scanned Image Segmentation Techniques and Deep Learning Strategy. - S. Umamaheswaran; Rajan John; S. Nagarajan; Karthick Raghunath K. M.; K. S. Arvind (Int. J. e Collab., 2022)

Metaheuristics with federated learning enabled intrusion detection system in Internet of Things environment. - Thavavel Vaiyapuri; Shabbab Ali Algamdi; Rajan John; Zohra Sbaï; Munira Alhelal; Ahmed Alkhayyat 001; Deepak Gupta 002 (Expert Syst. J. Knowl. Eng., 2023)

Deep convolutional neural network based real-time abnormal behavior detection in social networks. - Dinesh Mavaluru; Azath Mubarakali; Bayapa Reddy Narapureddy; Jayabrabu Ramakrishnan; Rajan John; Nadana Ravishankar; P. Karthika (Comput. Electr. Eng., 2023)

A Novel Symmetric Key Based Authentication Scheme that Saves Energy for Edge Devices of the Internet of Things. - Prakash Kuppuswamy; Saeed Q. Al-Khalidi Al-Maliki; Rajan John; Mohan Mani (COMS2, 2024)

Detecting Anomalies in Attributed Networks Through Sparse Canonical Correlation Analysis Combined With Random Masking and Padding. - Wasim Khan; Mohammad Ishrat; Ahmad Neyaz Khan; Mohammad Arif; Anwar Ahamed Shaikh; Mousa Mohammed Khubrani; Shadab Alam; Mohammed Shuaib; Rajan John (IEEE Access, 2024)

A Hybrid Machine Learning Framework for Dynamic Resource Optimization in 5G Networks. - S. Umamaheswaran; A. B. Gurulakshmi; J. Mannar Mannan; Rajan John; N. Lakshmana Rao; S. Nagarajan (Wirel. Pers. Commun., 2025)