THE 3
rd
INTERNATIONAL SCIENTIFIC CONFERENCES OF STUDENTS AND YOUNG RESEARCHERS
dedicated to the 99
th
anniversary of the National Leader of Azerbaijan Heydar Aliyev
109
References:
1. [Li, S.; Nie, Y.; Li, J. Condition monitoring and diagnosis of power equipment: Review and
prospective. High Volt. 2017, 2,p 82–91]
2. [Carvalho, T.; Soares, F.; Vita, R.; Francisco, R.; Basto, J.; Alcala, S. A systematic
literature review of machine learning methods applied to predictive maintenance p 137-
140]
3. [S. Cheng and M. Pecht, “Multivariate state estimation technique for remaining useful life
prediction of electronic products,” in Proc. AAAI Fall Symposium on Artificial Intelligence
for Prognostics, Arlington, VA, Nov. 9– 11, 2007 (AAAI, Menlo Park, CA, 2007) p 26-32]
4. [L. He, R. A. Levine, J. Fan, J. Beemer, and J. Stronach, “Random forest as a predictive
analytics alternative to regression in institutional research,” Pract. Assess., Res. Eval. P
1-23]
5. [Z. Cha and Y. Ma, Ensemble Machine Learning: Methods and Applications]
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