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Data-Driven Prognostics Using Random Forests: Prediction of Tool Wear

Research article (Volume 3: Manufacturing Equipment and Systems, 2017) · cited 31× · AI/ML
academia openalex:W2737527206
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Data-Driven Prognostics Using Random Forests: Prediction of Tool Wear

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Data-Driven Prognostics Using Random Forests: Prediction of Tool Wear is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Data-Driven Prognostics Using Random Forests: Prediction of Tool Wear. Retrieved May 24, 2026, from https://4ort.xyz/entity/data-driven-prognostics-using-random-forests-prediction-of-tool-wear
MLA “Data-Driven Prognostics Using Random Forests: Prediction of Tool Wear.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/data-driven-prognostics-using-random-forests-prediction-of-tool-wear.
BibTeX @misc{4ortxyz_data-driven-prognostics-using-random-forests-prediction-of-tool-wear_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Data-Driven Prognostics Using Random Forests: Prediction of Tool Wear}}, year = {2026}, url = {https://4ort.xyz/entity/data-driven-prognostics-using-random-forests-prediction-of-tool-wear}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Data-Driven Prognostics Using Random Forests: Prediction of Tool Wear — https://4ort.xyz/entity/data-driven-prognostics-using-random-forests-prediction-of-tool-wear (retrieved 2026-05-24)

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