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1 Ergebnisse
1
Prediction of Ecofriendly Concrete Compressive Strength Usi..:
Zaineb M. Alhakeem
;
Yasir Mohammed Jebur
;
Sadiq N. Henedy
...
https://www.mdpi.com/1996-1944/15/21/7432. , 2022
Link:
https://doi.org/10.3390/ma15217432
RT Journal T1
Prediction of Ecofriendly Concrete Compressive Strength Using Gradient Boosting Regression Tree Combined with GridSearchCV Hyperparameter-Optimization Techniques
UL https://suche.suub.uni-bremen.de/peid=base-ftdoajarticles:oai:doaj.org_article:210e193ba250439b936c650812040500&Exemplar=1&LAN=DE A1 Zaineb M. Alhakeem A1 Yasir Mohammed Jebur A1 Sadiq N. Henedy A1 Hamza Imran A1 Luís F. A. Bernardo A1 Hussein M. Hussein PB MDPI AG YR 2022 K1 gradient boosting regression tree K1 machine learning K1 SHAP K1 eco-friendly concrete K1 compressive strength K1 prediction K1 Technology K1 T K1 Electrical engineering. Electronics. Nuclear engineering K1 TK1-9971 K1 Engineering (General). Civil engineering (General) K1 TA1-2040 K1 Microscopy K1 QH201-278.5 K1 Descriptive and experimental mechanics K1 QC120-168.85 JF https://www.mdpi.com/1996-1944/15/21/7432 LK http://dx.doi.org/https://doi.org/10.3390/ma15217432 DO https://doi.org/10.3390/ma15217432 SF ELIB - SuUB Bremen
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