Rezultati
eNauka >
Rezultati >
An intelligent framework of upgraded CapsNets with massive transmissibility data for identifying damage in bridges
| Naziv: | An intelligent framework of upgraded CapsNets with massive transmissibility data for identifying damage in bridges | Autori: | Li, Shuai; Cao, Maosen; Bayat, Mahmoud; Sumarac, Dragoslav M |
Godina: | 2024 | Publikacija: | APPLIED SOFT COMPUTING | ISSN: | 1568-4946 Applied Soft Computing Pretraži identifikator |
Tip rezultata: | Naučni članak | Kolacija: | vol. 155 str. 111459-111459 | DOI: | 10.1016/j.asoc.2024.111459 | WoS-ID: | 001218920100001 | Scopus-ID: | 2-s2.0-85187667876 | URI: | https://enauka.gov.rs/handle/123456789/937831 | Projekat: | Anhui international joint research center of data diagnosis and smart maintenance on bridge structures [2022AHGHYB07] National Natural Science Foundation of China [52250410359] International Science & Technology Cooperation Project of Jiangsu Province [BZ2022010] Jiangsu-Czech Bilateral Co-funding RD Project [BZ2023011] |
Izvor metapodataka: | (Preuzeto iz Nasi u WoS) | M-kategorija: | 21aM21a - Vodeći međunarodni časopis kategorije M21a |
Rezultati na eNauka su zaštićeni autorskim pravima i sva prava su zadržana, osim ako nije drugačije naznačeno.