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Mehmet Ozsoz, Auwalu Mubarak, Zubaida Said, Rabiu Aliyu, Fadi Al Turjman, Sertan Serte

2021

International Journal of Nanotechnology

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Deep learning-based feature extraction coupled with multi-class SVM for COVID-19 detection in the IoT era - NASA/ADS Now on home page ads icon ads Enable full ADS view NASA/ADS Deep learning-based feature extraction coupled with multi-class SVM for COVID-19 detection in the IoT era Ozsoz, Mehmet ; Mubarak, Auwalu ; Said, Zubaida ; Aliyu, Rabiu ; Al Turjman, Fadi ; Serte, Sertan Abstract Publication: International Journal of Nanotechnology Pub Date: 2021 DOI: 10.1504/IJNT.2021.10040115 Bibcode: 2021IJNT....1....1O full text sources Publisher | © The SAO/NASA Astrophysics Data System adshelp[at]cfa.harvard.edu The ADS is operated by the Smithsonian Astrophysical Observatory under NASA Cooperative Agreement NNX16AC86A NASA logo Smithsonian logo Resources About ADS ADS Help What's New Careers@ADS Social @adsabs ADS Blog Project Switch to full ADS Is ADS down? (or is it …