M. Thangamani

A Hybrid Temporal Deep Learning Framework for Real-Time Depression Detection on Social Media

Depression is one of the most common mental health problems, as it influences mood, cognition, and quality of life. Social media offers an abundance of user-generated content that can be utilized to detect and track depressive tendencies at early stages. The conventional methods cannot always work to capture very compl...

IMFOHDL-ID: A Hybrid Meta-Heuristic and Deep Learning Framework for Robust Intrusion Detection in IoT Networks

The Internet of Things (IoT) has greatly broadened the cyber-attack surface and the inability of traditional Intrusion Detection Systems (IDS) to keep up with the number, complexity and zero-day nature of today's cyber threats. To mitigate the above-mentioned vulnerabilities this study proposes the Improved Mayfly Opti...

Band-Attentive Noise-Aware Denoising for EEG-based Emotion Recognition using Deep Learning