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1 Ergebnisse
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Predicting the Compressive Strength and the Effective Poros..:
Le, Ba-Anh
;
Vu, Viet-Hung
;
Seo, Soo-Yeon
...
KSCE Journal of Civil Engineering. 26 (2022) 11 - p. 4664-4679 , 2022
Link:
https://doi.org/10.1007/s12205-022-1918-z
RT Journal T1
Predicting the Compressive Strength and the Effective Porosity of Pervious Concrete Using Machine Learning Methods
UL https://suche.suub.uni-bremen.de/peid=cr-10.1007_s12205-022-1918-z&Exemplar=1&LAN=DE A1 Le, Ba-Anh A1 Vu, Viet-Hung A1 Seo, Soo-Yeon A1 Tran, Bao-Viet A1 Nguyen-Sy, Tuan A1 Le, Minh-Cuong A1 Vu, Thai-Son PB Springer Science and Business Media LLC YR 2022 SN 1226-7988 SN 1976-3808 JF KSCE Journal of Civil Engineering VO 26 IS 11 SP 4664 OP 4679 LK http://dx.doi.org/https://doi.org/10.1007/s12205-022-1918-z DO https://doi.org/10.1007/s12205-022-1918-z SF ELIB - SuUB Bremen
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