Abstract: Drowsy driving significantly contributes to road accidents globally, underscoring the need for reliable real-time drowsiness detection systems. While various approaches exist, ...
The National Safety Council (NSC) has reported that each year, driver fatigue is responsible for 100,000 accidents, 71,000 injuries, and 1,550 fatalities, often manifesting as drowsiness. Most current ...
Abstract: Binary code similarity detection (BCSD) is important for cybersecurity, software analysis, and security research, helping to identify malware, vulnerabilities, and duplicate code as well as ...
Abstract: Drowsiness while driving is a core threat to global safety on roads, resulting in significant traffic accidents and fatalities. Efficient strategies to combat drowsy driving are an emerging ...
Abstract: Recent advances in non-invasive cardiac imaging techniques have highlighted the potential of Magnetocardiography (MCG) as a powerful diagnostic tool. However, existing approaches face ...
Abstract: Comments are widely used in source code. If a comment is consistent with the code snippet it intends to annotate, it would aid code comprehension. Otherwise, Code Comment Inconsistency (CCI) ...
Copyright 2025 The Associated Press. All Rights Reserved. Copyright 2025 The Associated Press. All Rights Reserved. President Donald Trump held a lengthy Cabinet ...
Abstract: Existing vulnerability detection models can typically detect only a limited range of vulnerabilities. As the variety of vulnerabilities increases, performance will be reduced. Graph ...
Abstract: Driver drowsiness and fatigue are significant road safety risks, leading to numerous accidents globally. This research presents a comparative analysis of Convolutional Neural Network (CNN) ...
Abstract: Driver drowsiness remains a major cause of traffic accidents, requiring a drowsiness detection system to achieve high accuracy and real-time inference speed. To overcome these challenges, we ...
Abstract: Drowsiness is the main factor that leads to road accidents. Statistics show that drowsy drivers are responsible for accidents. A National Sleep Foundation survey indicates that 20% of ...
Abstract: Drowsy driving is a major cause of road accidents, often leading to severe injuries or fatalities. This paper presents an IoT-based driver drowsiness detection system that monitors eye blink ...
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