A Mixed Samples-Driven Methodology Based on Denoising Diffusion Probabilistic Model for Identifying Damage in Carbon Fiber Composite Structures

Research article (IEEE Transactions on Instrumentation and Measurement, 2023) · cited 25× · AI/ML
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A Mixed Samples-Driven Methodology Based on Denoising Diffusion Probabilistic Model for Identifying Damage in Carbon Fiber Composite Structures

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A Mixed Samples-Driven Methodology Based on Denoising Diffusion Probabilistic Model for Identifying Damage in Carbon Fiber Composite Structures is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). A Mixed Samples-Driven Methodology Based on Denoising Diffusion Probabilistic Model for Identifying Damage in Carbon Fiber Composite Structures. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-mixed-samples-driven-methodology-based-on-denoising-diffusion-probabilistic-model-for-identifying-damage-in-carbon-fib
MLA “A Mixed Samples-Driven Methodology Based on Denoising Diffusion Probabilistic Model for Identifying Damage in Carbon Fiber Composite Structures.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-mixed-samples-driven-methodology-based-on-denoising-diffusion-probabilistic-model-for-identifying-damage-in-carbon-fib.
BibTeX @misc{4ortxyz_a-mixed-samples-driven-methodology-based-on-denoising-diffusion-probabilistic-model-for-identifying-damage-in-carbon-fib_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A Mixed Samples-Driven Methodology Based on Denoising Diffusion Probabilistic Model for Identifying Damage in Carbon Fiber Composite Structures}}, year = {2026}, url = {https://4ort.xyz/entity/a-mixed-samples-driven-methodology-based-on-denoising-diffusion-probabilistic-model-for-identifying-damage-in-carbon-fib}, note = {Accessed: 2026-05-24}}
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