Comparative analysis of support vector machines, artificial neural network, random forest and gradient boosting for predictive maintenance in mining machinery and equipment: a case study of Chadormalu Iron Ore Mine
Crossref DOI link: https://doi.org/10.1038/s41598-026-55052-4
Published Online: 2026-05-25
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Alvars, Omid Afzali
Afraei, Sajjad
Ataee-pour, Majid
Text and Data Mining valid from 2026-05-25
Accepted Manuscript valid from 2026-05-25
Article History
Received: 17 April 2026
Accepted: 21 May 2026
First Online: 25 May 2026
Declarations
:
: The authors declare that they have no competing interests.