The use of deep learning techniques in the field of picture recognition for the purpose of identifying electronic components. Because of the growing complexity and variety of electronic devices, it is essential for ma...
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Objectively and accurately analysing the important influencing factors affecting the performance of an enterprise and assessing and predicting its performance level accordingly is of great significance in promoting th...
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Federated learning, as a distributed machine learning method, enables data sets from different clients to train high-quality models without leaving the local area. However, in the process of federation learning to upl...
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Since sleep disorders can have a major impact on general well-being, classifying them is crucial to enhancing human health. Experts have historically categorized the stages of sleep, but this is a challenging and erro...
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This research focuses on exploring the use of neural networks for photograph popularity in autonomous driving. Mainly, the research is investigating how semantic segmentation may be progressed with convolution neural ...
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Cryptocurrency refers to a kind of money that exists in digital or virtual form and relies on encryption to ensure its security. Cryptocurrencies, unlike conventional fiat currencies such as the US Dollar or Euro, are...
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The teleoperation master undertakes the important task of human-computer interaction and s the key equipment in the teleoperation system. Because the operator is susceptible to fatigue and other subjective factors, th...
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The continual growth of the computer vision and artificial intelligence fields overtime have provided the basis for more efficient and accurate surveillance. This paper examines the use of YOLO, a deep learning model ...
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This project seeks to identify urban, traffic, and industrial noise hazards. This is accomplished by Arduino, which uses sound sensors to recognize and differentiate between light and loud noise. With the help of the ...
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The existing system of project and task management has notable flaws, making it difficult for implementers and developers to prioritize solutions and address problems in a timely manner. Unnecessary and redundant data...
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