Abstract: Accurate trajectory prediction is critical to improve the planning and control capabilities of autonomous vehicles. In complex traffic scenarios, the influence of social interactions among ...

This project uses deep learning techniques to detect malware by analyzing file characteristics, byte sequences, and behavioral patterns. It employs Convolutional Neural Networks (CNNs) for image-based ...

Abstract: Power and energy balancing technology is at the core of smart grids. Expert subjective judgments play a critical role in the balancing control process. However, due to the subjectivity, ...

This research initiative highlights the importance of ethical and explainable artificial intelligence in workforce ...