Deep Learning Approach to Automated Data Collection and Processing of Video Surveillance in Sport Activity Prediction. - Xiaowei Tang; Fang Li; V. Sakthivel; S. Kirubakaran (J. Multiple Valued Log. Soft Comput., 2021)

Performance Analysis of Interference Limited Hybrid FSO/RF Systems. - S. Kirubakaran; Mandha Damodaran Selvaraj (SPCOM, 2022)

Deep Learning Approach for Emotion Recognition Analysis in Text Streams. - Changxiu Liu; S. Kirubakaran; J. Alfred Daniel (Int. J. Technol. Hum. Interact., 2022)

An efficient classification of cirrhosis liver disease using hybrid convolutional neural network-capsule network. - H. Shaheen; K. Ravikumar; N. Lakshmipathi Anantha; A. Uma Shankar Kumar; N. Jayapandian 001; S. Kirubakaran (Biomed. Signal Process. Control., 2023)

Fuzzy based optimized itemset mining in high dimensional transactional database using adaptable FCM. - C. Saravanabhavan; S. Kirubakaran; R. Premkumar; V. Jemmy Joyce (J. Intell. Fuzzy Syst., 2023)

Performance Analysis of Rice Plant Diseases Identification and Classification Methodology. - M. Tholkapiyan; B. Aruna Devi; Dhowmya Bhatt; E. Saravana Kumar; S. Kirubakaran; Ravi Kumar 002 (Wirel. Pers. Commun., 2023)

Hybrid selection combining scheme for correlated cooperative communication over κ-μ fading channels. - S. Kirubakaran; Mandha Damodaran Selvaraj (Phys. Commun., 2024)

Efficient segmentation and classification of the lung carcinoma via deep learning. - M. M. Yamuna Devi; J. Jeyabharathi; S. Kirubakaran; Sreekumar Narayanan; T. Srikanth; Prasun Chakrabarti (Multim. Tools Appl., 2024)

Anomaly detection using deep learning approach for IoT smart city applications. - S. Shibu; S. Kirubakaran; Krishna Priya Remamany; Suhail Ahamed; L. Chitra; Pravin Kshirsagar; Vineet Tirth (Multim. Tools Appl., 2025)