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A neural network approach for quantifying defects depth, for nondestructive testing thermograms

Research article (Infrared Physics & Technology, 2018) · cited 38× · AI/ML
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A neural network approach for quantifying defects depth, for nondestructive testing thermograms

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A neural network approach for quantifying defects depth, for nondestructive testing thermograms is a scholarly article[1].

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  • A neural network approach for quantifying defects depth, for nondestructive testing thermograms's instance of is recorded as scholarly article[2].

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  1. [2] ↑ . wikidata.org.

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). A neural network approach for quantifying defects depth, for nondestructive testing thermograms. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-neural-network-approach-for-quantifying-defects-depth-for-nondestructive-testing-thermograms
MLA “A neural network approach for quantifying defects depth, for nondestructive testing thermograms.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-neural-network-approach-for-quantifying-defects-depth-for-nondestructive-testing-thermograms.
BibTeX @misc{4ortxyz_a-neural-network-approach-for-quantifying-defects-depth-for-nondestructive-testing-thermograms_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A neural network approach for quantifying defects depth, for nondestructive testing thermograms}}, year = {2026}, url = {https://4ort.xyz/entity/a-neural-network-approach-for-quantifying-defects-depth-for-nondestructive-testing-thermograms}, note = {Accessed: 2026-05-24}}
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