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Damage characterization of embedded defects in composites using a hybrid thermography, computational, and artificial neural networks approach
Research article (Heliyon, 2022) · cited 10× · AI/ML
Damage characterization of embedded defects in composites using a hybrid thermography, computational, and artificial neural networks approach
Summary
Damage characterization of embedded defects in composites using a hybrid thermography, computational, and artificial neural networks approach is a scholarly article[1].
Key Facts
Damage characterization of embedded defects in composites using a hybrid thermography, computational, and artificial neural networks approach's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Damage characterization of embedded defects in composites using a hybrid thermography, computational, and artificial neural networks approach. Retrieved May 24, 2026, from https://4ort.xyz/entity/damage-characterization-of-embedded-defects-in-composites-using-a-hybrid-thermography-computational-and-artificial-neura
MLA“Damage characterization of embedded defects in composites using a hybrid thermography, computational, and artificial neural networks approach.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/damage-characterization-of-embedded-defects-in-composites-using-a-hybrid-thermography-computational-and-artificial-neura.
BibTeX@misc{4ortxyz_damage-characterization-of-embedded-defects-in-composites-using-a-hybrid-thermography-computational-and-artificial-neura_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Damage characterization of embedded defects in composites using a hybrid thermography, computational, and artificial neural networks approach}}, year = {2026}, url = {https://4ort.xyz/entity/damage-characterization-of-embedded-defects-in-composites-using-a-hybrid-thermography-computational-and-artificial-neura}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Damage characterization of embedded defects in composites using a hybrid thermography, computational, and artificial neural networks approach — https://4ort.xyz/entity/damage-characterization-of-embedded-defects-in-composites-using-a-hybrid-thermography-computational-and-artificial-neura (retrieved 2026-05-24)
