Abstract: Intelligent in-vehicle networks (IVNs) are increasingly exposed to complex security threats. Traditional supervised deep learning methods depend heavily on extensive labeled datasets, ...

This study reviews the advancements in AI-driven methods for predicting stock prices, tracing their evolution from traditional approaches to modern finance. The role of AI in the market extends beyond ...

Background: Stroke is one of the leading causes of death and disability worldwide, making early screening and risk prediction crucial. Traditional methods have limitations in handling nonlinear ...

Abstract: FMCW radar-based human keypoints detection has been increasingly used in health monitoring, human-computer interaction, safety detection and other fields due to its characteristics of ...