Application of Machine Learning to the Prediction of Surface Roughness in the Milling Process on the Basis of Sensor Signals

Research article (Materials, 2025) · cited 19× · AI/ML
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Application of Machine Learning to the Prediction of Surface Roughness in the Milling Process on the Basis of Sensor Signals

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Application of Machine Learning to the Prediction of Surface Roughness in the Milling Process on the Basis of Sensor Signals is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Application of Machine Learning to the Prediction of Surface Roughness in the Milling Process on the Basis of Sensor Signals. Retrieved May 24, 2026, from https://4ort.xyz/entity/application-of-machine-learning-to-the-prediction-of-surface-roughness-in-the-milling-process-on-the-basis-of-sensor-sig
MLA “Application of Machine Learning to the Prediction of Surface Roughness in the Milling Process on the Basis of Sensor Signals.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/application-of-machine-learning-to-the-prediction-of-surface-roughness-in-the-milling-process-on-the-basis-of-sensor-sig.
BibTeX @misc{4ortxyz_application-of-machine-learning-to-the-prediction-of-surface-roughness-in-the-milling-process-on-the-basis-of-sensor-sig_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Application of Machine Learning to the Prediction of Surface Roughness in the Milling Process on the Basis of Sensor Signals}}, year = {2026}, url = {https://4ort.xyz/entity/application-of-machine-learning-to-the-prediction-of-surface-roughness-in-the-milling-process-on-the-basis-of-sensor-sig}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Application of Machine Learning to the Prediction of Surface Roughness in the Milling Process on the Basis of Sensor Signals — https://4ort.xyz/entity/application-of-machine-learning-to-the-prediction-of-surface-roughness-in-the-milling-process-on-the-basis-of-sensor-sig (retrieved 2026-05-24)

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