Articles liés à COVID 19: Deep Learning Approach for Diagnosis

COVID 19: Deep Learning Approach for Diagnosis - Couverture souple

Tiwari, Geeta

 
9786207647392: COVID 19: Deep Learning Approach for Diagnosis
Couverture souple
ISBN 10 : 6207647394 ISBN 13 : 9786207647392
Editeur : LAP LAMBERT Academic Publishing, 2024

Synopsis

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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Éditeur
LAP LAMBERT Academic Publishing
Date d'édition
2024
Langue
anglais
ISBN 10 
6207647394
ISBN 13 
9786207647392
Reliure
Broché
Nombre de pages
60
Coordonnées du fabricant
non disponible
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