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eNauka >  Results >  Artificial intelligence - based approaches based on random forest algorithm for signal analysis: Potential applications in detection of chemico - biological interactions
Title: Artificial intelligence - based approaches based on random forest algorithm for signal analysis: Potential applications in detection of chemico - biological interactions
Authors: Pantić, Igor V.  ; Paunović-Pantić, Jovana  ; Valjarević, Svetlana; Corridon, Peter R.; Topalović, Nikola  
Issue Date: 2025
Publication: Chemico-biological interactions
ISSN: 0009-2797 Chemico-biological Interactions Search Idenfier
Publisher: Limerick : Elsevier
Type: Article
Collation: vol. 418 str. 111624
DOI: 10.1016/j.cbi.2025.111624
WoS-ID: 001527061200002
Scopus-ID: 2-s2.0-105009657077
PMID: 40582691
URI: https://enauka.gov.rs/handle/123456789/990562
URL: https://www.sciencedirect.com/science/article/pii/S0009279725002546?via%3Dihub
Project: Science Fund of the Republic of Serbia "Automated sensing system based on fractal, textural and wavelet computational methods for detection of low-level cellular damage", SensoFracTW [7739645]
Ministry of Science, Technological Development and Innovation of the Republic of Serbia [451-03-66/2024-03/200110]
Metadata source: (Preuzeto iz Nasi u WoS)
M-category: 
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