Prediction of abnormal TBM disc cutter wear in mixed ground condition using interpretable machine learning with data augmentation

Research article (Journal of Rock Mechanics and Geotechnical Engineering, 2024) · cited 24× · AI/ML
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Prediction of abnormal TBM disc cutter wear in mixed ground condition using interpretable machine learning with data augmentation

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Prediction of abnormal TBM disc cutter wear in mixed ground condition using interpretable machine learning with data augmentation is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Prediction of abnormal TBM disc cutter wear in mixed ground condition using interpretable machine learning with data augmentation. Retrieved May 24, 2026, from https://4ort.xyz/entity/prediction-of-abnormal-tbm-disc-cutter-wear-in-mixed-ground-condition-using-interpretable-machine-learning-with-data-aug
MLA “Prediction of abnormal TBM disc cutter wear in mixed ground condition using interpretable machine learning with data augmentation.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/prediction-of-abnormal-tbm-disc-cutter-wear-in-mixed-ground-condition-using-interpretable-machine-learning-with-data-aug.
BibTeX @misc{4ortxyz_prediction-of-abnormal-tbm-disc-cutter-wear-in-mixed-ground-condition-using-interpretable-machine-learning-with-data-aug_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Prediction of abnormal TBM disc cutter wear in mixed ground condition using interpretable machine learning with data augmentation}}, year = {2026}, url = {https://4ort.xyz/entity/prediction-of-abnormal-tbm-disc-cutter-wear-in-mixed-ground-condition-using-interpretable-machine-learning-with-data-aug}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Prediction of abnormal TBM disc cutter wear in mixed ground condition using interpretable machine learning with data augmentation — https://4ort.xyz/entity/prediction-of-abnormal-tbm-disc-cutter-wear-in-mixed-ground-condition-using-interpretable-machine-learning-with-data-aug (retrieved 2026-05-24)

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