Machine Learning Application for Concrete Surface Defects Automatic Damage Classification
Defects damage in concrete structures are an important measure of structural integrity and serviceability. In the context of investigating the condition of concrete surface that has defects, a visual inspection is usually performed. However, this method is subjective, tedious, time-consuming, and co...
Published in: | JURNAL KEJURUTERAAN |
---|---|
Main Authors: | Senin, Syahrul Fithry; Yusuf, Khairullah; Yusuf, Amer; Rohim, Rohamezan |
Format: | Article |
Language: | English |
Published: |
UKM PRESS
2024
|
Subjects: | |
Online Access: | https://www-webofscience-com.uitm.idm.oclc.org/wos/woscc/full-record/WOS:001157147500026 |
Similar Items
-
Automated System Form Concrete Damage Classification Identification Using Pretrained Deep Learning Model
by: Yazid M.D.M.; Senin S.F.
Published: (2022) -
Enhancing software defect prediction: a framework with improved feature selection and ensemble machine learning
by: Ali, et al.
Published: (2024) -
Enhancing software defect prediction: a framework with improved feature selection and ensemble machine learning
by: Ali M.; Mazhar T.; Al-Rasheed A.; Shahzad T.; Ghadi Y.Y.; Khan M.A.
Published: (2024) -
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)