Performance Comparison of Multiple Convolutional Neural Networks for Concrete Defects Classification

Performance Comparison of Multiple Convolutional Neural Networks for Concrete Defects Classification

Periodical vision-based inspection is a principal form of structural health monitoring (SHM) technique. Over the last decades, vision-based artificial intelligence (AI) has successfully facilitated an effortless inspection system owing to its exceptional ability of accuracy of defects’ pattern recog...

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Bibliographic Details
Main Authors: Palisa Arafin, Anas Issa, A. H. M. Muntasir Billah
Format: Article
Language:English
Published: MDPI AG 2022-11-01
Series:Sensors
Subjects:
structural health monitoring
concrete defects
deep learning
convolutional neural network
performance comparison
sensitivity analysis
Online Access:https://www.mdpi.com/1424-8220/22/22/8714

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https://www.mdpi.com/1424-8220/22/22/8714

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