Application of deep learning in damage classification of reinforced concrete bridges

Application of deep learning in damage classification of reinforced concrete bridges

Inspecting Reinforced Concrete (RC) Bridges is crucial to ensure their safety and perform essential maintenance. The current research introduces the knowledge base for applying deep learning to classify and detect RC bridges' five most common defects (cracks, corrosion, efflorescence, spalling,...

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Bibliographic Details
Main Authors:	Mustafa Abubakr, Mohammed Rady, Khaled Badran, Sameh Youssef Mahfouz
Format:	Article
Language:	English
Published:	Elsevier 2024-01-01
Series:	Ain Shams Engineering Journal
Subjects:	Convolutional Neural Networks (CNNs) RC Condition assessment Concrete defects Image classification
Online Access:	http://www.sciencedirect.com/science/article/pii/S2090447923001867

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