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For: Vallim Filho ARDA, Farina Moraes D, Bhering de Aguiar Vallim MV, Santos da Silva L, da Silva LA. A Machine Learning Modeling Framework for Predictive Maintenance Based on Equipment Load Cycle: An Application in a Real World Case. Energies 2022;15:3724. [DOI: 10.3390/en15103724] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/28/2022]
Number Cited by Other Article(s)
1
Hakami A. Strategies for overcoming data scarcity, imbalance, and feature selection challenges in machine learning models for predictive maintenance. Sci Rep 2024;14:9645. [PMID: 38671068 PMCID: PMC11053123 DOI: 10.1038/s41598-024-59958-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2024] [Accepted: 04/17/2024] [Indexed: 04/28/2024]  Open
2
Akano TT, James CC. An assessment of ensemble learning approaches and single-based machine learning algorithms for the characterization of undersaturated oil viscosity. BENI-SUEF UNIVERSITY JOURNAL OF BASIC AND APPLIED SCIENCES 2022. [DOI: 10.1186/s43088-022-00327-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]  Open
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