With the increasing complexity of industrial environments, safety incidents caused by abnormal behaviors have become more frequent, posing significant threats to productivity and personnel safety. Traditional video su...
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Deep Learning (DL) methods such as Convolutional Neural Network (CNN) learning approaches are used to extract features from images through convolution operation. These features are widely used for image classification...
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In dense crowd scenes, the scale of human heads varies greatly, and current visual transformer models lack learning of different scales, resulting in the model being unable to perceive the target scale changes of huma...
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The goal of the low-light picture enhancement challenge is to increase an image's visibility without sacrificing its visually authentic appearance. This study addresses the issues of uneven brightness and negligib...
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In this paper, a reconfigurable digital modulation leaky-wave antenna (LWA) is proposed. This antenna does not require additional ADC/DAC modules and mixing circuits, which simplifies the antenna structure design. By ...
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With the widespread application of Automated Guided Vehicles (AGVs) in warehousing and logistics systems, the optimization of multi-AGV path planning has become a critical issue. Current methods primarily focus on min...
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Due of its effectiveness, One-shot Neural Architecture Search (NAS) has been widely utilized to uncover architectures. TeacherNet and SubNet are designed to direct the upgrading of SuperNet in the ScalenNAS. In contra...
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multi-label text categorization is a crucial task in Natural Language Processing, where each text instance can be simultaneously assigned to numerous labels. In this research, our goal is to assess how well several de...
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To ensure real-time feedback of the observation information from the remote tracking UAV, multiple UAVs are used to construct a communication relay chain between the tracking UAV and the ground base station. The probl...
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Intracortical brain-computer interfaces (iBCIs) restore motor function in patients with paralysis by converting neural activity into control signals for external devices. However, the frequent recalibration required b...
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