Face Attribute Convolutional Neural Network System for Data Security with Improved Crypto Biometrics. - S. Aanjanadevi; S. Aanjankumar; K. R. Ramela; V. Palanisamy (Comput. Syst. Sci. Eng., 2023)

A novel methodology for malicious traffic detection in smart devices using BI-LSTM-CNN-dependent deep learning methodology. - T. Anitha; S. Aanjankumar; S. Poonkuntran; Anand Nayyar (Neural Comput. Appl., 2023)

Enhanced Consumer Healthcare Data Protection Through AI-Driven TinyML and Privacy-Preserving Techniques. - S. Aanjankumar; Monoj Kumar Muchahari; Shabana Urooj; Ishmeet Kaur; Rajesh Kumar Dhanaraj; Hanan Abdullah Mengash; Shanmugam Poonkuntran; Parag Ravikant Kaveri (IEEE Access, 2025)

A deep Bi-CapsNet for analysing ECG signals to classify cardiac arrhythmia. - T. Anitha; S. Aanjankumar; Rajesh Kumar Dhanaraj; Dragan Pamucar; Vladimir Simic (Comput. Biol. Medicine, 2025)

Hybrid Feed Forward Neural Networks and Particle Swarm Optimization for Intelligent Self-Organization in the Industrial Communication Networks. - M. Maragatharajan; S. Aanjankumar; Rajesh Kumar Dhanaraj; E. Nirmala; Md Shohel Sayeed; Mohammad Tabrez Quasim; Shakila Basheer (IEEE Open J. Commun. Soc., 2025)

Holographic Display in Consumer Electronics for Detecting Abnormal IoT Devices Using a Lightweight Security Model. - S. Aanjankumar; Malathy Sathyamoorthy; Rajesh Kumar Dhanaraj; Shanmugam Poonkuntran; Firoz Khan; Mohammad Tabrez Quasim; Shakila Basheer (IEEE Trans. Consumer Electron., 2025)