A hybrid approach for COVID-19 detection using biogeography-based optimization and deep learning
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Venkatachalam, K, Siuly, Siuly ORCID: 0000-0003-2491-0546, Kumar, MV, Lalwani, P, Mishra, MK and Kabir, E (2022) A hybrid approach for COVID-19 detection using biogeography-based optimization and deep learning. Computers, Materials and Continua, 70 (2). pp. 3717-3732. ISSN 1546-2218
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Item type | Article |
URI | https://vuir.vu.edu.au/id/eprint/44936 |
DOI | 10.32604/cmc.2022.018487 |
Official URL | https://www.techscience.com/cmc/v70n2/44621 |
Subjects | Current > FOR (2020) Classification > 4611 Machine learning Current > Division/Research > Institute for Sustainable Industries and Liveable Cities |
Keywords | Covid-19; biogeography-based optimization; deep learning; convolutional neural network; computer vision |
Citations in Scopus | 1 - View on Scopus |
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