Active Speaker Detection is pivotal in a multitude of applications, particularly in processing live Audio-Video (AV) streams. Current implementations predominantly focus on processing saved video files, limiting their...
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Insider threats are one of the biggest issues that modern-day organizations and many large-scale companies face. The inside threats are caused by the insiders who are authorized individuals, also may have proper acces...
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Malicious URLs can be detected by leveraging lexical analysis and machine learning, where the parsed components of the URL are parsed, and its features include domain reputation, URL length, and the presence of suspic...
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Dynamic Source Routing (DSR) protocol is mostly used in the wireless mesh network, where all the nodes are in a mesh topology, it is also used in Mobile ad-hoc Networks (MANETs). As it is in mesh topology that the com...
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In the domain of mobile security, particularly in APK (Android Application Package) malware detection, ensuring robust threat identification is critical for safeguarding user devices and sensitive data. This study add...
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Video synopsis is a technique that condenses surveillance videos into compact equivalent videos. The objective of this paper is to identify and group related moving objects (also referred to as tubes) in a video using...
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Driver distraction remains a significant factor in road accidents, necessitating efficient and real-time monitoring systems. This study proposes an advanced driver distraction detection system using YOLOv8. The datase...
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ISBN:
(纸本)9798331512248
Driver distraction remains a significant factor in road accidents, necessitating efficient and real-time monitoring systems. This study proposes an advanced driver distraction detection system using YOLOv8. The dataset comprises 30,000 images, including the AUC Distracted Driver Dataset and self-captured images from dashboard cameras. The dataset covers various distractions such as phone usage, texting, eating, adjusting the radio, and drowsiness. Roboflow and LabelImg tools were used for precise annotation, ensuring high-quality labeled data. A dataset partitioning strategy of 75% training, 15% validation, and 10% testing was employed to maximize learning efficiency and model evaluation.. Extensive data preprocessing techniques, including image resizing, normalization, and augmentation methods such as rotation, flipping, brightness adjustment, Mosaic, and MixUp, were applied to enhance model generalization. Histogram Equalization was incorporated to improve contrast in low-light conditions. The YOLOv8 model architecture includes a CSPDarknet53 backbone, a PANet neck, and an anchor-free detection head. For effective training, the AdamW optimizer was implemented with 1×10-3 learning rate and a batch size of 32. The model was trained using the PyTorch-based Ultralytics YOLOv8 framework on an NVIDIA RTX 3090 GPU, with early stopping to prevent overfitting. Model evaluation was conducted using precision, recall, mean Average Precision (mAP@50), inference speed (FPS), and latency. Comparative analysis with Faster R-CNN and EfficientDet demonstrated YOLOv8's superior performance, achieving 95.2% mAP@50, 110 FPS, and a latency of 7ms per frame. The system ensures accurate classification of distracted driving behaviors with a false positive rate below 3%. Deployment in advanced driver assistance systems (ADAS), fleet monitoring, and real-time vehicle surveillance applications can enhance road safety. Future improvements include the integration of Vision Transform
Natural language processing (NLP) has witnessed significant advancements in recent decades. Automatically classifying parts of speech, like nouns and verbs, from textual input has transformed text analysis and languag...
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Docker has revolutionized web hosting. It offers efficiency, scalability, security, and automation. With Docker, businesses and individuals can simplify their hosting. With the help of Docker, the development process ...
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In today's world, a lot people are searching and applying for jobs. When there is a need for company to recruit new employees, it is difficult for them to select the correct resume according to their job descripti...
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