Deep Learning for Detecting Building Defects Using Convolutional Neural Networks

Deep Learning for Detecting Building Defects Using Convolutional Neural Networks

Clients are increasingly looking for fast and effective means to quickly and frequently survey and communicate the condition of their buildings so that essential repairs and maintenance work can be done in a proactive and timely manner before it becomes too dangerous and expensive. Traditional metho...

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Bibliographic Details
Main Authors: Husein Perez, Joseph H. M. Tah, Amir Mosavi
Format: Article
Language:English
Published: MDPI AG 2019-08-01
Series:Sensors
Subjects:
deep learning
convolutional neural networks (CNN)
transfer learning
class activation mapping (CAM)
building defects
structural-health monitoring
Online Access:https://www.mdpi.com/1424-8220/19/16/3556

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https://www.mdpi.com/1424-8220/19/16/3556

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