This abstract explores the utilization of deep learning for detecting driver somnolence, aiming to enhance driver safety and alertness monitoring. It investigates the integration of computer vision, physiological sign...
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Target detection, a crucial component of computer vision, has undergone rapid development in recent years. While existing target detection networks have demonstrated significant improvements in accuracy and speed comp...
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The paper explores a high-precision positioning system of offshore wind turbine installation vessels (OWTIVs). A finite-time disturbance observer (FTDO) is developed to assess the multi-source disturbances that actual...
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In recent years, driven by the new generation of artificial intelligence technology, emotional computing has garnered significant attention and achieved substantial progress. Multimodal emotional computing based on te...
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It is stated that this allows: to adapt to the structure of SCA, taking into account the different concentration of high-frequency components in fragments of video sequences and the different level of the quantization...
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English is an international lingua franca. In China, junior high schools represent the starting point for most students to formally and systematically learn English. However, English teaching in junior high schools ma...
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Bidirectional DC-DC converters are widely used in photovoltaic energy storage systems, and good dynamic response performance is the key to efficient and stable circuit operation. A model predictive current control met...
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Recent advance in the Microsoft Kinect has provided great opportunities for general intelligent application of motion sensing interaction. The somatosensory technology has demonstrated epoch-making significance in the...
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The proposed work provides an in-depth analysis of DL techniques to enhance pattern recognition accuracy in difficult computer vision applications. This background explains the present status of the problems in the ar...
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In the dynamic landscape of GPON broadband access networks, the need for robust and efficient mechanisms to handle inconsistent data from crash reports is paramount. The first scenario is to create a similarity group ...
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