https://cerdulatinibinhibitor.....com/covid-19-and-als
The feature extraction process uses by leveraging the pre-trained weights of two well-known and efficient transfer mastering convolutional neural network models. Finally, a wrapper-based feature selection technique is employed for choosing the optimal feature subset that both reduces the training time and improves the ultimate classification performance. The proposed HAR model happens to be tested on the three standard datasets namely, HARTH, KU-HAR and HuGaDB and it has achieved 88.89%
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