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| Title: | Artificial neural networks in contemporary toxicology research | Authors: | Pantić, Igor V. |
Issue Date: | 2023 | Publication: | Chemico-biological interactions | ISSN: | 0009-2797 Chemico-biological Interactions Search Idenfier |
Publisher: | Limerick : Elsevier | Type: | Article | Collation: | 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 | Project: | 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 |
Metadata source: | (Preuzeto iz Nasi u WoS) | M-category: | 21aM21a |
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