Using Machine Learning in Electrical Tomography for Building Energy Efficiency through Moisture Detection
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- Mirco Andreotti & Dario Bottino-Leone & Marta Calzolari & Pietromaria Davoli & Luisa Dias Pereira & Elena Lucchi & Alexandra Troi, 2020. "Applied Research of the Hygrothermal Behaviour of an Internally Insulated Historic Wall without Vapour Barrier: In Situ Measurements and Dynamic Simulations," Energies, MDPI, vol. 13(13), pages 1-22, July.
- Tomasz Rymarczyk & Grzegorz Kłosowski & Anna Hoła & Jan Sikora & Tomasz Wołowiec & Paweł Tchórzewski & Stanisław Skowron, 2021. "Comparison of Machine Learning Methods in Electrical Tomography for Detecting Moisture in Building Walls," Energies, MDPI, vol. 14(10), pages 1-22, May.
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- Tomasz Rymarczyk & Grzegorz Kłosowski & Anna Hoła & Jerzy Hoła & Jan Sikora & Paweł Tchórzewski & Łukasz Skowron, 2021. "Historical Buildings Dampness Analysis Using Electrical Tomography and Machine Learning Algorithms," Energies, MDPI, vol. 14(5), pages 1-24, February.
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- Ruwen Zhao & Chuanpei Xu & Zhibin Zhu & Wei Mo, 2024. "A Blockchain-Based Secure Sharing Scheme for Electrical Impedance Tomography Data," Mathematics, MDPI, vol. 12(7), pages 1-19, April.
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Keywords
building energy saving; electrical tomography; moisture imaging; nondestructive evaluation; machine learning; neural networks; image processing;All these keywords.
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