Automated System Form Concrete Damage Classification Identification Using Pretrained Deep Learning Model
The main objective of this project is to create a machine learning-based model for detecting cracks in concrete surfaces. In terms of inspection, the proposed model is meant to assess the percentage of automation in identifying and classifying on concrete surfaces. A deep learning convolutional neur...
Published in: | AIP Conference Proceedings |
---|---|
Main Author: | Yazid M.D.M.; Senin S.F. |
Format: | Conference paper |
Language: | English |
Published: |
American Institute of Physics Inc.
2022
|
Online Access: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85144022530&doi=10.1063%2f5.0110080&partnerID=40&md5=b5d9acade0842f0e5ad2f8fc2ac8f839 |
Similar Items
-
Machine Learning Application for Concrete Surface Defects Automatic Damage Classification
by: Senin, et al.
Published: (2024) -
Automated Generation of Chinese Text-Image Summaries Using Deep Learning Techniques
by: Xu, et al.
Published: (2023) -
Diagnostic of fatigue damage severity on reinforced concrete beam using acoustic emission technique
by: Md Nor N.; Ibrahim A.; Muhamad Bunnori N.; Saman H.M.; Mat Saliah S.N.; Shahidan S.
Published: (2014) -
Mitigation of seismic financial risk of reinforced concrete walls by using Damage Avoidance Design
by: Khare R.K.; Dhakal R.P.; Mander J.B.; Hamid N.B.A.; Maniyar M.M.
Published: (2007) -
Investigation on Acoustic Emission Parameters due to Fatigue Damage of Concrete Beams with Variable Notched Depth
by: Abdul Kudus S.; Muhamad Bunnori N.; Mustaffa N.K.; Jamadin A.
Published: (2022)