Identification of Concrete Cracks Using Deep Learning Models: A Systematic Review
Deep learning (DL) has grown in popularity in civil inspection, notably for crack diagnosis, as a means of guaranteeing the long-term stability and security of concrete structures. It is critical to identify cracks to conduct inspections and assessments while preserving the existing concrete framewo...
Published in: | Applications of Modelling and Simulation |
---|---|
Main Author: | Mazni M.; Husain A.R.; Shapiai M.I.; Ibrahim I.S.; Zulkifli R.; Anggara D.W. |
Format: | Article |
Language: | English |
Published: |
ARQII Publication
2024
|
Online Access: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85187217343&partnerID=40&md5=0df16d7dd90216951aa8eafa11d2c94f |
Similar Items
-
An investigation into real-time surface crack classification and measurement for structural health monitoring using transfer learning convolutional neural networks and Otsu method
by: Mazni M.; Husain A.R.; Shapiai M.I.; Ibrahim I.S.; Anggara D.W.; Zulkifli R.
Published: (2024) -
Real-Time Crack Classification with Wall-Climbing Robot Using MobileNetV2
by: Mazni M.; Husain A.R.; Shapiai M.I.; Ibrahim I.S.; Zulkifli R.; Anggara D.W.
Published: (2024) -
Automated System Form Concrete Damage Classification Identification Using Pretrained Deep Learning Model
by: Yazid M.D.M.; Senin S.F.
Published: (2022) -
Malaysian vehicle plate number identification using deep learning
by: Ibrahim S.; Hamidi I.H.; Aminuddin R.; Mangshor N.N.A.; Feisol S.F.A.
Published: (2023) -
Modeling of steel fibres as flexural cracks inhibitor in reinforced concrete beam
by: Musa M.Y.; Hamzah S.H.; Amin N.M.
Published: (2015)