Ensembles Learning Algorithms with K-Fold Cross Validation to Detect False Alarms in Wind Turbines
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Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-10388-9_33
Reference42 articles.
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4. Ashour, A.S., Guo, Y., Hawas, A.R., Xu, G.: Ensemble of subspace discriminant classifiers for schistosomal liver fibrosis staging in mice microscopic images. Health Inf. Sci. Syst. 6(1), 1–10 (2018). https://doi.org/10.1007/s13755-018-0059-8
5. Beretta, M., Vidal, Y., et al.: Improved ensemble learning for wind turbine main bearing fault diagnosis. Appl. Sci. 11(16), 7523 (2021)
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