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eNauka >  Results >  Exploring the applicability of decision trees and deep neural networks optimized by metaheuristics for predictive maintenance in milling
Title: Exploring the applicability of decision trees and deep neural networks optimized by metaheuristics for predictive maintenance in milling
Authors: A. Bozovic; L. Jovanovic ; M. Dobrojevic  ; M. Antonijevic  ; N. Bacanin  ; E. Desnica; V. Simic  ; M. Zivkovic  
Issue Date: 2025
Publication: The Journal of Supercomputing
ISSN: 1573-0484 Journal of Supercomputing Search Idenfier
Type: Article
Collation: vol. 81 br. 17
DOI: 10.1007/s11227-025-08082-0
WoS-ID: 001625603700003
Scopus-ID: 2-s2.0-105023417522
URI: https://enauka.gov.rs/handle/123456789/1012586
http://ezaposleni.singidunum.ac.rs/rest/sciNaucniRezultati/oai/record/2/11733
https://link.springer.com/article/10.1007/s11227-025-08082-0
URL: https://link.springer.com/article/10.1007/s11227-025-08082-0
Project: Science Fund of the Republic of Serbia [7373, 7502]
Note: PDF je dostupan ali nije otključan
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