Resolving engineering challenges: Deep learning in frequency domain for 3D inverse identification of heterogeneous composite properties

Research article (Composites Part B Engineering, 2024) · cited 21× · AI/ML
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Resolving engineering challenges: Deep learning in frequency domain for 3D inverse identification of heterogeneous composite properties

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Resolving engineering challenges: Deep learning in frequency domain for 3D inverse identification of heterogeneous composite properties is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Resolving engineering challenges: Deep learning in frequency domain for 3D inverse identification of heterogeneous composite properties. Retrieved May 24, 2026, from https://4ort.xyz/entity/resolving-engineering-challenges-deep-learning-in-frequency-domain-for-3d-inverse-identification-of-heterogeneous-compos
MLA “Resolving engineering challenges: Deep learning in frequency domain for 3D inverse identification of heterogeneous composite properties.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/resolving-engineering-challenges-deep-learning-in-frequency-domain-for-3d-inverse-identification-of-heterogeneous-compos.
BibTeX @misc{4ortxyz_resolving-engineering-challenges-deep-learning-in-frequency-domain-for-3d-inverse-identification-of-heterogeneous-compos_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Resolving engineering challenges: Deep learning in frequency domain for 3D inverse identification of heterogeneous composite properties}}, year = {2026}, url = {https://4ort.xyz/entity/resolving-engineering-challenges-deep-learning-in-frequency-domain-for-3d-inverse-identification-of-heterogeneous-compos}, note = {Accessed: 2026-05-24}}
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