Ultrasonic characterization of defects in polycrystalline materials based on TFM image reconstruction using denoising diffusion probabilistic models

Research article (Mechanical Systems and Signal Processing, 2024) · cited 16× · AI/ML
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Ultrasonic characterization of defects in polycrystalline materials based on TFM image reconstruction using denoising diffusion probabilistic models

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Ultrasonic characterization of defects in polycrystalline materials based on TFM image reconstruction using denoising diffusion probabilistic models is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Ultrasonic characterization of defects in polycrystalline materials based on TFM image reconstruction using denoising diffusion probabilistic models. Retrieved May 24, 2026, from https://4ort.xyz/entity/ultrasonic-characterization-of-defects-in-polycrystalline-materials-based-on-tfm-image-reconstruction-using-denoising-di
MLA “Ultrasonic characterization of defects in polycrystalline materials based on TFM image reconstruction using denoising diffusion probabilistic models.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/ultrasonic-characterization-of-defects-in-polycrystalline-materials-based-on-tfm-image-reconstruction-using-denoising-di.
BibTeX @misc{4ortxyz_ultrasonic-characterization-of-defects-in-polycrystalline-materials-based-on-tfm-image-reconstruction-using-denoising-di_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Ultrasonic characterization of defects in polycrystalline materials based on TFM image reconstruction using denoising diffusion probabilistic models}}, year = {2026}, url = {https://4ort.xyz/entity/ultrasonic-characterization-of-defects-in-polycrystalline-materials-based-on-tfm-image-reconstruction-using-denoising-di}, note = {Accessed: 2026-05-24}}
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