Software fault prediction using data mining, machine learning and deep learning techniques: ... of class-level and method-level metrics in most of the studies as compared to module-level metrics with a need to do investigations using component or process-level data as well. Labeled datasets used for software fault prediction contain two classes ...
→ WhatsApp: +86 18221755073The classification of imbalanced datasets is a prominent task in text mining and machine learning. The number of samples in each class is not uniformly distributed; one class contains a large number of samples while the other has a small number. Overfitting of the model occurs as a result of imbalanced datasets, resulting in poor performance. In this study, we …
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→ WhatsApp: +86 18221755073In a time when people are searching for solutions that minimize operational costs of surface mining machines [9], [17], [18], [19] and eliminate the likelihood of failures [1], [11], [12], it is becoming increasingly important to optimize the technical and operational parameters related to the mining of overburden and coal in surface mines ...
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