Rezultati
eNauka >
Results >
Audio analysis with convolutional neural networks and boosting algorithms tuned by metaheuristics for respiratory condition classification
| Title: | Audio analysis with convolutional neural networks and boosting algorithms tuned by metaheuristics for respiratory condition classification | Authors: | S. Purkovic   ; L. Jovanovic ; M. Zivkovic ; M. Antonijevic ; E. Dolicanin; E. Tuba ; M. Tuba ; N. Bacanin ; P. Spalevic |
Issue Date: | 2024 | Publication: | Journal of King Saud University - Computer and Information Sciences | ISSN: | 2213-1248 Journal of King Saud University-Computer and Information Sciences Search Idenfier |
Type: | Article | Collation: | vol. 36 br. 10 str. 102261-102261 | DOI: | 10.1016/j.jksuci.2024.102261 | WoS-ID: | 001383306800001 | Scopus-ID: | 2-s2.0-85211460713 | URI: | http://ezaposleni.singidunum.ac.rs/rest/sciNaucniRezultati/oai/record/2/10825 https://enauka.gov.rs/handle/123456789/952508 https://www.sciencedirect.com/science/article/pii/S1319157824003501 |
URL: | https://www.sciencedirect.com/science/article/pii/S1319157824003501 | Project: | Science Fund of the Republic of Serbia [7373, 7502] | M-category: | 21aM21a |
Rezultati na eNauka su zaštićeni autorskim pravima i sva prava su zadržana, osim ako nije drugačije naznačeno.