Rezultati
eNauka >
Rezultati >
InBRwSANet: Self-attention based parallel inverted residual bottleneck architecture for human action recognition in smart cities
| Naziv: | InBRwSANet: Self-attention based parallel inverted residual bottleneck architecture for human action recognition in smart cities | Autori: | Jadoon, Yasir Khan; Khan, Muhammad Attique; Khalid, Yasir Noman; Baili, Jamel; Bacanin, Nebojsa   ; Hong, Minkyung; Nam, Yunyoung |
Godina: | 2025 | Publikacija: | PLOS ONE | ISSN: | 1932-6203 PLoS One / Public Library of Science Pretraži identifikator |
Tip rezultata: | Naučni članak | Kolacija: | vol. 20 br. 5 str. e0322555-e0322555 | DOI: | 10.1371/journal.pone.0322555 | WoS-ID: | 001497880100018 | Scopus-ID: | 2-s2.0-105006769031 | URI: | https://enauka.gov.rs/handle/123456789/984999 | Projekat: | Deanship of Research and Graduate Studies at King Khalid University [RGP.2/275/46] National Research Foundation of Korea(NRF) - Korea government(MSIT) [RS-2023-00218176] Soonchunhyang University Research Fund |
Izvor metapodataka: | (Preuzeto iz Nasi u WoS) | M-kategorija: | 21M21 - Vodeći međunarodni časopis kategorije M21 |
Rezultati na eNauka su zaštićeni autorskim pravima i sva prava su zadržana, osim ako nije drugačije naznačeno.