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Excavator Operators’ Working Conditions and Its’ Failure Rates Prediction by Artificial Neural Network Modelling
Naziv  : | Excavator Operators’ Working Conditions and Its’ Failure Rates Prediction by Artificial Neural Network Modelling | Autori: | Spasojević Brkić, Vesna   ; Perišić, Martina ; Janev, Nemanja |
Godina: | 2025 | Publikacija: | Smart Business Technologies | ISSN: | 1865-0929  Pretraži identifikator |
Izdavač: | Springer Cham | Tip rezultata: | Poglavlje u monografiji | ISBN: | 978-3-032-06074-7 Pretraži identifikator |
Kolacija: | vol. 1 br. 1 str. 1-16 | DOI  : | 10.1007/978-3-032-06075-4_1 | WoS-ID : | 001666713000001 | Scopus-ID : | 2-s2.0-105020021614 | URI: | https://machinery.mas.bg.ac.rs/handle/123456789/8417 https://enauka.gov.rs/handle/123456789/1002597 |
Projekat: | SmartMiner - Support Systems for Smart, Ergonomic and Sustainable Mining Machinery Workplaces Eureka project No. 20495 Ministarstvo nauke, tehnološkog razvoja i inovacija Republike Srbije, institucionalno finansiranje - 200105 (Univerzitet u Beogradu, Mašinski fakultet) |
M-kategorija: | Mp kategorija će biti prikazana naknadno. |
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