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A Deep-Learning-Based Surrogate Model for Thermal Signature Prediction in Laser Metal Deposition

Research article (IEEE Transactions on Automation Science and Engineering, 2022) · cited 27× · AI/ML
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A Deep-Learning-Based Surrogate Model for Thermal Signature Prediction in Laser Metal Deposition

Summary

A Deep-Learning-Based Surrogate Model for Thermal Signature Prediction in Laser Metal Deposition is a scholarly article[1].

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  • A Deep-Learning-Based Surrogate Model for Thermal Signature Prediction in Laser Metal Deposition's instance of is recorded as scholarly article[2].

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). A Deep-Learning-Based Surrogate Model for Thermal Signature Prediction in Laser Metal Deposition. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-deep-learning-based-surrogate-model-for-thermal-signature-prediction-in-laser-metal-deposition
MLA “A Deep-Learning-Based Surrogate Model for Thermal Signature Prediction in Laser Metal Deposition.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-deep-learning-based-surrogate-model-for-thermal-signature-prediction-in-laser-metal-deposition.
BibTeX @misc{4ortxyz_a-deep-learning-based-surrogate-model-for-thermal-signature-prediction-in-laser-metal-deposition_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A Deep-Learning-Based Surrogate Model for Thermal Signature Prediction in Laser Metal Deposition}}, year = {2026}, url = {https://4ort.xyz/entity/a-deep-learning-based-surrogate-model-for-thermal-signature-prediction-in-laser-metal-deposition}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A Deep-Learning-Based Surrogate Model for Thermal Signature Prediction in Laser Metal Deposition — https://4ort.xyz/entity/a-deep-learning-based-surrogate-model-for-thermal-signature-prediction-in-laser-metal-deposition (retrieved 2026-05-24)

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