Interpretable ensemble machine learning framework to predict wear rate of modified ZA-27 alloy

Research article (Tribology International, 2023) · cited 31× · AI/ML
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Interpretable ensemble machine learning framework to predict wear rate of modified ZA-27 alloy

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Interpretable ensemble machine learning framework to predict wear rate of modified ZA-27 alloy is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Interpretable ensemble machine learning framework to predict wear rate of modified ZA-27 alloy. Retrieved May 24, 2026, from https://4ort.xyz/entity/interpretable-ensemble-machine-learning-framework-to-predict-wear-rate-of-modified-za-27-alloy
MLA “Interpretable ensemble machine learning framework to predict wear rate of modified ZA-27 alloy.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/interpretable-ensemble-machine-learning-framework-to-predict-wear-rate-of-modified-za-27-alloy.
BibTeX @misc{4ortxyz_interpretable-ensemble-machine-learning-framework-to-predict-wear-rate-of-modified-za-27-alloy_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Interpretable ensemble machine learning framework to predict wear rate of modified ZA-27 alloy}}, year = {2026}, url = {https://4ort.xyz/entity/interpretable-ensemble-machine-learning-framework-to-predict-wear-rate-of-modified-za-27-alloy}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Interpretable ensemble machine learning framework to predict wear rate of modified ZA-27 alloy — https://4ort.xyz/entity/interpretable-ensemble-machine-learning-framework-to-predict-wear-rate-of-modified-za-27-alloy (retrieved 2026-05-24)

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