Rezultati
eNauka >
Rezultati >
The COVID-19 Images Classification by MobileNetV3 and Enhanced Sine Cosine Metaheuristics, Chapter in LNDECT Lecture Notes on Data Engineering and Communications Technologies: ICMCSI 2022: Mobile Computing and Sustainable Informatics, Springer, volume 126
| Title: | The COVID-19 Images Classification by MobileNetV3 and Enhanced Sine Cosine Metaheuristics, Chapter in LNDECT Lecture Notes on Data Engineering and Communications Technologies: ICMCSI 2022: Mobile Computing and Sustainable Informatics, Springer, volume 126 | Authors: | M. Zivkovic   ; A. Petrovic ; N. Bacanin ; S. Milosevic; V. Veljic; A. Vesic |
Issue Date: | 2022 | Publication: | Mobile Computing and Sustainable Informatics | Publisher: | Springer, Singapore | Type: | Book parts | ISBN: | 978-981-19-2069-1  Search Idenfier |
Collation: | str. 937-950 | DOI: | 10.1007/978-981-19-2069-1_65 | Scopus-ID: | 2-s2.0-85134582136 | URI: | http://ezaposleni.singidunum.ac.rs/rest/sciNaucniRezultati/oai/record/3/9085 https://enauka.gov.rs/handle/123456789/715175 |
URL: | https://link.springer.com/chapter/10.1007/978-981-19-2069-1_65 | M-category: | Mp. category will be shown later |
Rezultati na eNauka su zaštićeni autorskim pravima i sva prava su zadržana, osim ako nije drugačije naznačeno.