Different techniques, including LSTM, GAN, and ELM, have been created to incorporate diagnostic systems for COVID-19. Geographical concerns, high-risk groups, detection, and radiology are among the primary COVID-19 issues examined and discussed here. Using a variety of clinical and non-clinical datasets, we also showed how to choose appropriate models for parameter estimation and prediction. With the aid of these platforms, AI specialists may analyse sizable data sets, assist in the training of machines, create algorithms, ...
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Different techniques, including LSTM, GAN, and ELM, have been created to incorporate diagnostic systems for COVID-19. Geographical concerns, high-risk groups, detection, and radiology are among the primary COVID-19 issues examined and discussed here. Using a variety of clinical and non-clinical datasets, we also showed how to choose appropriate models for parameter estimation and prediction. With the aid of these platforms, AI specialists may analyse sizable data sets, assist in the training of machines, create algorithms, and enhance the data they have already analysed to support quicker and more precise virus identification. I can manage it. For propagating neural networks with several hidden layers, gradient-based learning algorithms like backpropagation are helpful, but ELM approaches are very affordable and are thus advised for the prediction of appropriate medications.
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New. Trade paperback (US). Glued binding. 60 p. In Stock. 100% Money Back Guarantee. Brand New, Perfect Condition, allow 4-14 business days for standard shipping. To Alaska, Hawaii, U.S. protectorate, P.O. box, and APO/FPO addresses allow 4-28 business days for Standard shipping. No expedited shipping. All orders placed with expedited shipping will be cancelled. Over 3, 000, 000 happy customers.