IEEE

A Multimodal Deep Learning Framework for Depression Detection Using Vision Transformers and Large Language Models

Abstract: This study proposes a novel multimodal deep learning framework for depression detection, integrating visual, audio, and textual data. Using OpenFace and Librosa for feature extraction, the ...
IEEE

Enhancing Resilient Operation of Distributed Energy Resources Using an Improved Machine Learning-Based IoT Framework Against Cyberattack Perturbation

Abstract: The most realistic way to achieve large-scale integration of distributed energy resources (DERs) into the current grid system is to implement microgrids. These systems function as localized ...