The use of the multi-sequential LSTM in electrical tomography for masonry wall moisture detection
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Elsevier BV
Reference46 articles.
1. Tuning machine learning hyperparameters in electrical tomography of masonry walls;Rymarczyk;Przeglad Elektrotechniczny,2022
2. application of convolutional neural networks in wall moisture identification by EIT method;Kłosowski;Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska,2022
3. Moisture in historical buildings from causes to the application of specific diagnostic methodologies;d’Ambrosio Alfano;J Cult Herit,2023
4. Development of a compatible, low cost and high accurate conservation remote sensing technology for the hygrothermal assessment of historic walls;Lucchi;Electronics,2019
5. Thermal transmittance of historical stone masonries: a comparison among standard, calculated and measured data;Lucchi;Energy Build,2017
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