The usage of metaheuristic algorithms for the diagnosis and classification of chronic kidney disease (CKD) is investigated in this work. To improve feature selection and classification accuracy, this study proposes se...
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Real-Time object tracking is crucial in the world of computer vision. The real-world application of tracking in traffic management systems is quite challenging, and traditional methods have limitations due to speed an...
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This paper investigates the impact of temperature-controlled loads on power system reliability in modern power systems. Through mathematical modeling and analysis, the ability to participate in grid regulation is expl...
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A vital part of today's transportation infrastructure is the railway system that facilitates the massive movement of people and products. With so many people and commodities being transported, the rail tracks coul...
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To automatically reconstruct the engineering drawings of shaft parts, a complete 3D reconstruction algorithm is proposed using DXF files as input. The algorithm proposes the data analysis method based on the view cent...
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With the continuous development of cloud computing technology, efficient resource allocation has become the key to improve cloud computing performance and user satisfaction. In this paper, we deeply analyze the influe...
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Human pose estimation is crucial in computer vision for interaction, behavior analysis, and action recognition. This paper introduces EDUNet, a U-shaped key point detection network addressing information loss, redunda...
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To accurately extract Brillouin frequency shift of BOTDA with large sweeping step sizes, a novel structure of GAFCNN is proposed, combining time series coding with convolutional neural networks. The experimental data ...
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Thanks to the rapid progress of automatic driving technology, the problem of object detection in automatic driving scenarios has become one of the hottest research topics at present. Automatic driving scenarios face d...
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Knowledge graphs play a central role in the field of recommender systems, and their quality directly impacts their performance in deep applications. Real-world knowledge graphs are often subject to noise, which disrup...
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