Influence of lock-in thermography set-up parameters on the capability of a temporal convolutional neural network to characterize defects in a CFRP

Research article (Optics and Lasers in Engineering, 2024) · cited 13× · AI/ML
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Influence of lock-in thermography set-up parameters on the capability of a temporal convolutional neural network to characterize defects in a CFRP

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Influence of lock-in thermography set-up parameters on the capability of a temporal convolutional neural network to characterize defects in a CFRP is a scholarly article[1].

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  • Influence of lock-in thermography set-up parameters on the capability of a temporal convolutional neural network to characterize defects in a CFRP's instance of is recorded as scholarly article[2].

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APA 4ort.xyz Knowledge Graph. (2026). Influence of lock-in thermography set-up parameters on the capability of a temporal convolutional neural network to characterize defects in a CFRP. Retrieved May 24, 2026, from https://4ort.xyz/entity/influence-of-lock-in-thermography-set-up-parameters-on-the-capability-of-a-temporal-convolutional-neural-network-to-char
MLA “Influence of lock-in thermography set-up parameters on the capability of a temporal convolutional neural network to characterize defects in a CFRP.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/influence-of-lock-in-thermography-set-up-parameters-on-the-capability-of-a-temporal-convolutional-neural-network-to-char.
BibTeX @misc{4ortxyz_influence-of-lock-in-thermography-set-up-parameters-on-the-capability-of-a-temporal-convolutional-neural-network-to-char_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Influence of lock-in thermography set-up parameters on the capability of a temporal convolutional neural network to characterize defects in a CFRP}}, year = {2026}, url = {https://4ort.xyz/entity/influence-of-lock-in-thermography-set-up-parameters-on-the-capability-of-a-temporal-convolutional-neural-network-to-char}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Influence of lock-in thermography set-up parameters on the capability of a temporal convolutional neural network to characterize defects in a CFRP — https://4ort.xyz/entity/influence-of-lock-in-thermography-set-up-parameters-on-the-capability-of-a-temporal-convolutional-neural-network-to-char (retrieved 2026-05-24)

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