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eNauka >  Results >  Predicting PCBs and PBDEs in cedar needles and soils using artificial neural networks based on OCPs and metals data
Title: Predicting PCBs and PBDEs in cedar needles and soils using artificial neural networks based on OCPs and metals data
Authors: Štrbac, Snežana  ; Lončar, Biljana  ; Pezo, Lato  ; Stojić, Nataša  ; Pucarević, Mira  ; Rončević, Vukašin  ; Živanović, Nikola  
Issue Date: 2025
Publication: Microchemical Journal
ISSN: 0026265X Microchemical Journal Search Idenfier
Type: Article
Collation: str. 115773-115773
DOI: 10.1016/j.microc.2025.115773
WoS-ID: 001606334200003
Scopus-ID: 2-s2.0-105019112221
URI: https://enauka.gov.rs/handle/123456789/1003818
https://cer.ihtm.bg.ac.rs/handle/123456789/8914
https://redun.educons.edu.rs/handle/123456789/1219
https://omorika.sfb.bg.ac.rs/handle/123456789/2421
Project: Ministry of Science, Technological Development and Innovation of Republic of Serbia (Contract No: 451-03-136/2025-03/200026, 451-03-136/2025-03/200134, 451-03-136/2025-03/200051
Metadata source: (Preuzeto iz CrossRef-a) Pezo, Lato
M-category: 
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