IEEE

An Optimal Scheduling Framework for Integrated Energy Systems Using Deep Reinforcement Learning and Deep Learning Prediction Models

Abstract: Model-free deep reinforcement learning has emerged as a promising method for addressing the scheduling challenges in integrated energy systems. However, uncertainty in system states ...
IEEE

A Multimodal AI-Driven Framework for Adaptive Learning of Differently-Abled Learners Using Deep Learning and Real-Time Gesture Recognition

Abstract: There are about 1.3 billion people with disabilities in the world, including those who are blind and deaf, yet they still face many obstacles when it comes to participating in educational ...