has been cited by the following article(s):
[1]
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Anomaly detection in oil-producing wells: a comparative study of one-class classifiers in a multivariate time series dataset
Journal of Petroleum Exploration and Production Technology,
2024
DOI:10.1007/s13202-023-01710-6
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[2]
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Anomaly Detection Using Explainable Random Forest for the Prediction of Undesirable Events in Oil Wells
Applied Computational Intelligence and Soft Computing,
2022
DOI:10.1155/2022/1558381
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