IEEE

Multi Modal Deep Learning Framework for Malpractice Detection in Virtual Exams Using YOLOV5

Abstract: The growth of remote exams has changed education, becoming more flexible and cheaper, especially amidst global disruption like the COVID 19 pandemic. But along with this evolution, there are ...
IEEE

Mid-Term Load Forecasting with Minimal Data: An In-Context-Learning-Aware Approach Using Large Language Models

Abstract: Accurate mid-term load forecasting at the building level is vital for the strategic planning, operation, and sustainability of modern power systems. Machine learning approaches often require ...