With the development of information technology, big data technology, and mobile Internet technology, people can quickly obtain and process a large amount of information. However, a significant quantity of detailed inf...
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This paper presents a competitive deep reinforcement learning (DRL) structure for the robot control, the basic method of which is to make the two actors learn from each other with competition. And the improvement of t...
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Road information plays a fundamental role in many application fields. The optical remote sensing image can analyze and interpret the ground object with its high resolution, which is of great help to extract the road t...
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With the development and application of virtual reality technology, the demand for gesture recognition is increasing. Efficient gesture recognition technology is indispensable in telecommuting and learning. In the res...
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Hyperspectral image classification is one of the key technologies in hyperspectral image application. Since the number of bands in hyperspectral images is usually much larger than that in RGB images or multispectral i...
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Web service specifications of WSRF and WSN provide a new method to solve the problem of stateful middleware services. At present, cloud native technology has been widely used in the field of stateful middleware manage...
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In the process of cigarette making, loose moisture regain, as one of the most important processes, plays an indispensable role in production efficiency and product quality. In order to solve the problem of low control...
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Artificial intelligence technique based on deep learning is gradually improving. Strategic power grid technique with a new generation of transformation capability is becoming the focus of all countries. The interventi...
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With the continuous advancement of science and technology, network data dissemination technology has been rapidly developed, but at the same time, the problem of spam is becoming more and more serious. This paper aims...
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Image classification is an essential method to dispose the practical issues including the medical image classification, detection of objectives and process downstream tasks. However, current researchers has utilized t...
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