Machine Learning approaches to damage detection in composite structures combining experimental and simulation domains

Research article (Mechanical Systems and Signal Processing, 2024) · cited 35× · AI/ML
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Machine Learning approaches to damage detection in composite structures combining experimental and simulation domains

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Machine Learning approaches to damage detection in composite structures combining experimental and simulation domains is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Machine Learning approaches to damage detection in composite structures combining experimental and simulation domains. Retrieved May 24, 2026, from https://4ort.xyz/entity/machine-learning-approaches-to-damage-detection-in-composite-structures-combining-experimental-and-simulation-domains
MLA “Machine Learning approaches to damage detection in composite structures combining experimental and simulation domains.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/machine-learning-approaches-to-damage-detection-in-composite-structures-combining-experimental-and-simulation-domains.
BibTeX @misc{4ortxyz_machine-learning-approaches-to-damage-detection-in-composite-structures-combining-experimental-and-simulation-domains_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Machine Learning approaches to damage detection in composite structures combining experimental and simulation domains}}, year = {2026}, url = {https://4ort.xyz/entity/machine-learning-approaches-to-damage-detection-in-composite-structures-combining-experimental-and-simulation-domains}, note = {Accessed: 2026-05-24}}
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