A Survey of Machine Learning Techniques Used to Combat Against the Advanced Persistent Threat. - Rajalakshmi Elangovan; N. Asik Ibrahim; V. Subramaniyaswamy 001 (ATIS, 2019)

Location-based social network recommendations with computational intelligence-based similarity computation and user check-in behavior. - Rajalakshmi Elangovan; Subramaniyaswamy Vairavasundaram; Varadarajan Vijayakumar 001; Logesh Ravi (Concurr. Comput. Pract. Exp., 2021)

Development of an End-to-End Deep Learning Framework for Sign Language Recognition, Translation, and Video Generation. - B. Natarajan; Rajalakshmi Elangovan; R. Elakkiya; Ketan Kotecha; Ajith Abraham; Lubna Abdel Kareim Gabralla; V. Subramaniyaswamy 001 (IEEE Access, 2022)

Multi-Semantic Discriminative Feature Learning for Sign Gesture Recognition Using Hybrid Deep Neural Architecture. - Rajalakshmi Elangovan; R. Elakkiya; V. Subramaniyaswamy 001; Alexey L. Prikhodko; Mikhail G. Grif; Maxim Bakaev; Ketan Kotecha; Lubna Abdel Kareim Gabralla; Ajith Abraham (IEEE Access, 2023)

Static and Dynamic Isolated Indian and Russian Sign Language Recognition with Spatial and Temporal Feature Detection Using Hybrid Neural Network. - Rajalakshmi Elangovan; R. Elakkiya; Alexey L. Prikhodko; Mikhail G. Grif; Maxim A. Bakaev; Jatinderkumar R. Saini; Ketan Kotecha; V. Subramaniyaswamy 001 (ACM Trans. Asian Low Resour. Lang. Inf. Process., 2023)