Hybrid physics machine learning for ultrasonic field guided 3D generation and reconstruction of rail defects

Research article (NDT & E International, 2024) · cited 12× · AI/ML
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Hybrid physics machine learning for ultrasonic field guided 3D generation and reconstruction of rail defects

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Hybrid physics machine learning for ultrasonic field guided 3D generation and reconstruction of rail defects is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Hybrid physics machine learning for ultrasonic field guided 3D generation and reconstruction of rail defects. Retrieved May 24, 2026, from https://4ort.xyz/entity/hybrid-physics-machine-learning-for-ultrasonic-field-guided-3d-generation-and-reconstruction-of-rail-defects
MLA “Hybrid physics machine learning for ultrasonic field guided 3D generation and reconstruction of rail defects.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/hybrid-physics-machine-learning-for-ultrasonic-field-guided-3d-generation-and-reconstruction-of-rail-defects.
BibTeX @misc{4ortxyz_hybrid-physics-machine-learning-for-ultrasonic-field-guided-3d-generation-and-reconstruction-of-rail-defects_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Hybrid physics machine learning for ultrasonic field guided 3D generation and reconstruction of rail defects}}, year = {2026}, url = {https://4ort.xyz/entity/hybrid-physics-machine-learning-for-ultrasonic-field-guided-3d-generation-and-reconstruction-of-rail-defects}, note = {Accessed: 2026-05-24}}
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