An effective deep residual network based class attention layer with bidirectional LSTM for diagnosis and classification of COVID-19.
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| Title: | An effective deep residual network based class attention layer with bidirectional LSTM for diagnosis and classification of COVID-19. |
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| Authors: | Pustokhin, Denis A.1, Pustokhina, Irina V.2, Dinh, Phuoc Nguyen3, Phan, Son Van4,5, Nguyen, Gia Nhu4,5, nguyengianhu@duytan.edu.vn, Joshi, Gyanendra Prasad6, K., Shankar7 |
| Source: | Journal of Applied Statistics; Mar2023, Vol. 50 Issue 3, p477-494, 18p, 1 Black and White Photograph, 5 Diagrams, 2 Charts, 4 Graphs |
| Database: | Applied Science & Technology Source |
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