Xgboost Prediction Model Optimized with Bayesian for the Compressive Strength of Eco-Friendly Concrete Containing Ground Granulated Blast Furnace Slag and Recycled Coarse Aggregate

AuthID
 P-00Y-XGW
6
Author(s)
Al-Taai, SR
·
Azize, NM
·
Thoeny, ZA
·
Imran, H
·
Al-Khafaji, Z
Document Type
Article
Year published
2023
Published
in APPLIED SCIENCES-BASEL, ISSN: 2076-3417
Volume: 13, Issue: 15, Pages: 8889 (23)
Indexing
Wos®
Scopus®
Crossref®6
Google Scholar®
Publication Identifiers
SCOPUS: 2-s2.0-85167905452
Wos: WOS:001045427400001
Source Identifiers
ISSN: 2076-3417
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