Predictive Models for the Characterization of Internal Defects in Additive Materials from Active Thermography Sequences Supported by Machine Learning Methods

Research article (Sensors, 2020) · cited 35× · AI/ML
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Predictive Models for the Characterization of Internal Defects in Additive Materials from Active Thermography Sequences Supported by Machine Learning Methods

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Predictive Models for the Characterization of Internal Defects in Additive Materials from Active Thermography Sequences Supported by Machine Learning Methods is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Predictive Models for the Characterization of Internal Defects in Additive Materials from Active Thermography Sequences Supported by Machine Learning Methods. Retrieved May 24, 2026, from https://4ort.xyz/entity/predictive-models-for-the-characterization-of-internal-defects-in-additive-materials-from-active-thermography-sequences-
MLA “Predictive Models for the Characterization of Internal Defects in Additive Materials from Active Thermography Sequences Supported by Machine Learning Methods.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/predictive-models-for-the-characterization-of-internal-defects-in-additive-materials-from-active-thermography-sequences-.
BibTeX @misc{4ortxyz_predictive-models-for-the-characterization-of-internal-defects-in-additive-materials-from-active-thermography-sequences-_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Predictive Models for the Characterization of Internal Defects in Additive Materials from Active Thermography Sequences Supported by Machine Learning Methods}}, year = {2026}, url = {https://4ort.xyz/entity/predictive-models-for-the-characterization-of-internal-defects-in-additive-materials-from-active-thermography-sequences-}, note = {Accessed: 2026-05-24}}
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