Predicting the effective thermal conductivity of composites from cross sections images using deep learning methods

Research article (Composites Science and Technology, 2019) · cited 156× · AI/ML
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Predicting the effective thermal conductivity of composites from cross sections images using deep learning methods

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Predicting the effective thermal conductivity of composites from cross sections images using deep learning methods is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Predicting the effective thermal conductivity of composites from cross sections images using deep learning methods. Retrieved May 24, 2026, from https://4ort.xyz/entity/predicting-the-effective-thermal-conductivity-of-composites-from-cross-sections-images-using-deep-learning-methods
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BibTeX @misc{4ortxyz_predicting-the-effective-thermal-conductivity-of-composites-from-cross-sections-images-using-deep-learning-methods_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Predicting the effective thermal conductivity of composites from cross sections images using deep learning methods}}, year = {2026}, url = {https://4ort.xyz/entity/predicting-the-effective-thermal-conductivity-of-composites-from-cross-sections-images-using-deep-learning-methods}, note = {Accessed: 2026-05-24}}
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