Historical Buildings Dampness Analysis Using Electrical Tomography and Machine Learning Algorithms

Historical Buildings Dampness Analysis Using Electrical Tomography and Machine Learning Algorithms

The article deals with the problem of detecting moisture in the walls of historical buildings. As part of the presented research, the following four methods based on mathematical modeling and machine learning were compared: total variation, least-angle regression, elastic net, and artificial neural...

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Bibliographic Details
Main Authors: Tomasz Rymarczyk, Grzegorz Kłosowski, Anna Hoła, Jerzy Hoła, Jan Sikora, Paweł Tchórzewski, Łukasz Skowron
Format: Article
Language:English
Published: MDPI AG 2021-02-01
Series:Energies
Subjects:
machine learning
electrical tomography
moisture inspection
dampness analysis
nondestructive evaluation
neural networks
Online Access:https://www.mdpi.com/1996-1073/14/5/1307

Internet

https://www.mdpi.com/1996-1073/14/5/1307

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