Interpretable machine learning for maximum corrosion depth and influence factor analysis

Research article (npj Materials Degradation, 2023) · cited 48× · AI/ML
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Interpretable machine learning for maximum corrosion depth and influence factor analysis

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Interpretable machine learning for maximum corrosion depth and influence factor analysis is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Interpretable machine learning for maximum corrosion depth and influence factor analysis. Retrieved May 24, 2026, from https://4ort.xyz/entity/interpretable-machine-learning-for-maximum-corrosion-depth-and-influence-factor-analysis
MLA “Interpretable machine learning for maximum corrosion depth and influence factor analysis.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/interpretable-machine-learning-for-maximum-corrosion-depth-and-influence-factor-analysis.
BibTeX @misc{4ortxyz_interpretable-machine-learning-for-maximum-corrosion-depth-and-influence-factor-analysis_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Interpretable machine learning for maximum corrosion depth and influence factor analysis}}, year = {2026}, url = {https://4ort.xyz/entity/interpretable-machine-learning-for-maximum-corrosion-depth-and-influence-factor-analysis}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Interpretable machine learning for maximum corrosion depth and influence factor analysis — https://4ort.xyz/entity/interpretable-machine-learning-for-maximum-corrosion-depth-and-influence-factor-analysis (retrieved 2026-05-24)

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