An important area of research in computer vision is feature extraction algorithms for image processing, which is the focal point of this paper's analysis. In the field of visual management, feature extraction and ...
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To achieve low joint-angle drift and avoid mutual collision between dual redundant manipulators (DRMs) when they are doing collaboration works, a recurrent neural network based bicriteria repetitive motion collision a...
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Aiming at the problem that PID (proportional integral-differential) controller of high-speed train cannot adjust parameters adaptively during operation, a distributed cooperative control strategy of high-speed train b...
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The Long Short-Term Gradient (LSTG) architecture innovatively combines the time series analysis capability of Long short-term memory network (LSTM) with the efficient training strategy of Mini-batch Gradient Descent (...
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To solve the problems of poor real-time performance and low detection accuracy in ZPW-2000 track circuit fault detection, a fault detection method for track circuit was proposed based on convolutional neural network (...
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With the accelerated development of globalization, the international trade activities of Hainan Free Trade Port are becoming more frequent, and Enterprises face the challenge of processing large amounts of manifest in...
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RPA (Robotic Process automation) provides strong technical support for process optimization and efficiency improvement under the financial service sharing mode. This paper takes a financial institution as an example t...
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The physical object model of equipment throughout different processes in the production process is established based on the integration of Industry 4.0 workshop production twin model and dynamic production data. The c...
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The Transformer architecture is widely used in the field of computer vision due to its ability to relate context and global modeling, and Transformer-based object detection methods have achieved very bright results. H...
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Object recognition systems have become integral in various domains, enhancing automation and decision-making processes. This research focuses on developing a cloud-based system specifically designed for efficient obje...
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