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Introduction of Deep Learning in Thermographic Monitoring of Cultural Heritage and Improvement by Automatic Thermogram Pre-Processing Algorithms.
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- Sensors (14248220), 2021, v. 21, n. 3, p. 750, doi. 10.3390/s21030750
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Characterization of Ancient Marquetry Using Different Non-Destructive Testing Techniques.
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- Applied Sciences (2076-3417), 2021, v. 11, n. 17, p. 7979, doi. 10.3390/app11177979
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Low Thermal Conductivity Materials and Very Low Heat Power: A Demanding Challenge in the Detection of Flaws in Multi-Layer Wooden Cultural Heritage Objects Solved by Pulse-Compression Thermography Technique.
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- Applied Sciences (2076-3417), 2020, v. 10, n. 12, p. 4233, doi. 10.3390/app10124233
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A numerical–thermal–thermographic NDT evaluation of an ancient marquetry integrated with X-ray and XRF surveys.
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- Journal of Thermal Analysis & Calorimetry, 2022, v. 147, n. 3, p. 2265, doi. 10.1007/s10973-021-10571-2
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- Article