| Naziv: | Artificial neural networks in contemporary toxicology research |
Autori: | Pantić, Igor V.   ; Paunović, Jovana ; Čumić, Jelena; Valjarević, Svetlana; Petroianu, Georg A.; Corridon, Peter R. |
Godina: | 2023 |
Publikacija: | Chemico-biological interactions |
ISSN: | 0009-2797 Chemico-biological Interactions Pretraži identifikator |
Izdavač: | Limerick : Elsevier |
Tip rezultata: | Naučni članak |
Kolacija: | vol. 369 str. 110269 |
DOI: | 10.1016/j.cbi.2022.110269 |
WoS-ID: | 000975816400001 |
Scopus-ID: | 2-s2.0-85144369655 |
PMID: | 36402212 |
URI: | https://enauka.gov.rs/handle/123456789/807876 |
URL: | https://www.sciencedirect.com/science/article/abs/pii/S0009279722004744?via%3Dihub |
Projekat: | SensoFracTW - Automated sensing system based on fractal, textural and wavelet computational methods for detection of low-level cellular damage
Khalifa University of Science and Technology [FSU-2020-25, RC2-2018-022]
College of Medicine and Health Sciences, Abu Dhabi, United Arab Emirates |
Izvor metapodataka: | (Preuzeto iz Nasi u WoS) |
M-kategorija: | 21aM21a - Vodeći međunarodni časopis kategorije M21a |
