Term recognition is the basic work in the field of natural fishery treatment. Now, the term recognition needs to be realized by machine learning algorithm, which requires a large number of corpus to train the model of...
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Social media applications such as Twitter and Facebook are fast becoming a key instrument in gaining situational awareness (understanding the bigger picture of the situation) during disasters. This has provided multip...
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Monitoring and managing electric power generation, distribution and transmission requires supervisory control and data acquisition (SCADA) systems. As technology has developed, these systems have become huge, complica...
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There are a large number of distribution network construction projects with different types, and a large number of complex data relationships are generated in the construction process. This paper combs the key managem...
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With the improvement of computer processing ability, we have been able to apply a variety of algorithms to deal with problems in life. Traditional translation is a kind of artificial translation or cat translation, wh...
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The article deals with the problems of functioning and improvement of measuring and control devices in the medical industry. The classification, principles of organization of specialized, multifunctional and single-fu...
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In this paper, a method of island microgrid capacity optimal allocation considering demand response strategy is proposed. Aiming at the problem that traditional optimization algorithm is easy to fall into local optima...
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Supervised learning algorithms require a lot of labeled data to train the model while obtaining labeled data for large datasets is costly and time consuming. Semi-supervised learning algorithms can jointly learning fr...
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In this paper, we have addressed an approach for accurate smart attendance monitoring system designed on the basis of deep learning algorithm. This approach will spectate the entry and exit of people into an institute...
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