A multi-algorithm integration machine learning approach for high cycle fatigue prediction of a titanium alloy in aero-engine

Research article (Engineering Fracture Mechanics, 2023) · cited 29× · AI/ML
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A multi-algorithm integration machine learning approach for high cycle fatigue prediction of a titanium alloy in aero-engine

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A multi-algorithm integration machine learning approach for high cycle fatigue prediction of a titanium alloy in aero-engine is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). A multi-algorithm integration machine learning approach for high cycle fatigue prediction of a titanium alloy in aero-engine. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-multi-algorithm-integration-machine-learning-approach-for-high-cycle-fatigue-prediction-of-a-titanium-alloy-in-aero-en
MLA “A multi-algorithm integration machine learning approach for high cycle fatigue prediction of a titanium alloy in aero-engine.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-multi-algorithm-integration-machine-learning-approach-for-high-cycle-fatigue-prediction-of-a-titanium-alloy-in-aero-en.
BibTeX @misc{4ortxyz_a-multi-algorithm-integration-machine-learning-approach-for-high-cycle-fatigue-prediction-of-a-titanium-alloy-in-aero-en_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A multi-algorithm integration machine learning approach for high cycle fatigue prediction of a titanium alloy in aero-engine}}, year = {2026}, url = {https://4ort.xyz/entity/a-multi-algorithm-integration-machine-learning-approach-for-high-cycle-fatigue-prediction-of-a-titanium-alloy-in-aero-en}, note = {Accessed: 2026-05-24}}
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