Skip to main content
English
Čeština
Deutsch
Español
Français
GÃ idhlig
Latviešu
Magyar
Nederlands
Português
Português do Brasil
Suomi
Log In
Email address
Password
Log in
Have you forgotten your password?
Home
Browse Our Collection
Researchers
Scholarly Output
Consultancy/Projects
Statistics
Log In
Email address
Password
Log in
Have you forgotten your password?
Home
Faculties / Institutes
Lee Kong Chian Faculty of Engineering and Science
Published Scholarly Output
Investigation of machine learning models in predicting compressive strength for ultra-high-performance geopolymer concrete: A comparative study
Details
Export
Statistics
Options
Show all metadata (technical view)
Investigation of machine learning models in predicting compressive strength for ultra-high-performance geopolymer concrete: A comparative study
Journal
Construction and Building Materials
ISSN
0950-0618
Date Issued
2024-07
Author(s)
Mohamed Abdellatief
Youssef M. Hassan
Mohamed T. Elnabwy
Leong Sing Wong
Chin Ren Jie
Lee Kong Chian Faculty of Engineering and Science
Kim Hung Mo
DOI
10.1016/j.conbuildmat.2024.136884
File(s)
Loading...
Download
Name
Journal Article.png
Size
17.27 KB
Format
PNG
Checksum
(MD5):85f5e85fa8f8c13d7350540217a227b6
