Abstract: Software vulnerabilities pose critical risks to the security and reliability of modern systems, requiring effective detection, repair, and explanation techniques. Large Language Models (LLMs ...

Abstract: Voltage-source inverter (VSI) systems with LCL filters are vital for renewable-energy integration but remain susceptible to stealthy false-data injection (FDI) attacks that can destabilise ...

Abstract: Distracted driving, caused by behaviors such as texting, eating, or adjusting in-car systems, presents significant challenges in detection, due to subtle distractions, varying environmental ...

Abstract: With increasing life expectancy, particularly in developed nations, the proportion of elderly individuals is rising rapidly, necessitating advanced systems for continuous monitoring and ...

Abstract: Driver drowsiness is a leading cause of traffic accidents worldwide, highlighting the urgent need for accurate and real-time detection systems to enhance road safety. Recent advances in deep ...

Abstract: Efficient driver drowsiness detection is a critical safety application, as drowsy driving is a leading cause of road accidents. Lightweight CNNs such as MobileNetV2 have been specifically ...

Abstract: Driver drowsiness is a critical factor contributing to road accidents, demanding the development of accurate and responsive detection systems for intelligent transportation. This paper ...

Abstract: Driver drowsiness is one of the main causes of road accidents, which is why early detection is critical. This research focuses on enhancing road safety by developing a datadriven approach ...

Abstract: Driver drowsiness is a significant cause of road accidents, making early detection essential for improving traffic safety. This paper proposes a vision-based software system for detecting ...

View post: Mercedes-Benz Will Launch 16 New Cars in 2026, More in 2027 At the heart of this tool is an innovative brushless motor capable of delivering up to 2,000 inch-pounds of torque and up to ...

Abstract: This paper presents the design and development of a real-time driver drowsiness detection system utilizing Electroencephalogram (EEG) neuro-signals to enhance road safety. The proposed ...