Deep learning-based concrete defects classification and detection using semantic segmentation

Visual damage detection of infrastructure using deep learning (DL)-based computational approaches can facilitate a potential solution to reduce subjectivity yet increase the accuracy of the damage diagnoses and accessibility in a structural health monitoring (SHM) system. However, despite remarkable...

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Vydané v:	Structural health monitoring Ročník 23; číslo 1; s. 383
Hlavní autori:	Arafin, Palisa, Billah, Ahm Muntasir, Issa, Anas
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	England 01.01.2024
Predmet:	encoder-decoder model structural health monitoring semantic segmentation convolutional neural network Concrete defects
ISSN:	1475-9217
On-line prístup:	Zistit podrobnosti o prístupe
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