Machine learning-based defect characterization in anisotropic materials with IR-thermography synthetic data

Research article (Composites Science and Technology, 2022) · cited 30× · AI/ML
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Machine learning-based defect characterization in anisotropic materials with IR-thermography synthetic data

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Machine learning-based defect characterization in anisotropic materials with IR-thermography synthetic data is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Machine learning-based defect characterization in anisotropic materials with IR-thermography synthetic data. Retrieved May 24, 2026, from https://4ort.xyz/entity/machine-learning-based-defect-characterization-in-anisotropic-materials-with-ir-thermography-synthetic-data
MLA “Machine learning-based defect characterization in anisotropic materials with IR-thermography synthetic data.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/machine-learning-based-defect-characterization-in-anisotropic-materials-with-ir-thermography-synthetic-data.
BibTeX @misc{4ortxyz_machine-learning-based-defect-characterization-in-anisotropic-materials-with-ir-thermography-synthetic-data_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Machine learning-based defect characterization in anisotropic materials with IR-thermography synthetic data}}, year = {2026}, url = {https://4ort.xyz/entity/machine-learning-based-defect-characterization-in-anisotropic-materials-with-ir-thermography-synthetic-data}, note = {Accessed: 2026-05-24}}
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