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Machine learning techniques and multi-scale models to evalu..:
Kakasor Ismael Jaf, Dilshad
;
Ismael Abdulrahman, Payam
;
Salih Mohammed, Ahmed
...
Construction and Building Materials. 400 (2023) - p. 132604 , 2023
Link:
https://doi.org/10.1016/j.conbuildmat.2023.132604
RT Journal T1
Machine learning techniques and multi-scale models to evaluate the impact of silicon dioxide (SiO2) and calcium oxide (CaO) in fly ash on the compressive strength of green concrete
UL https://suche.suub.uni-bremen.de/peid=cr-10.1016_j.conbuildmat.2023.132604&Exemplar=1&LAN=DE A1 Kakasor Ismael Jaf, Dilshad A1 Ismael Abdulrahman, Payam A1 Salih Mohammed, Ahmed A1 Kurda, Rawaz A1 Qaidi, Shaker M.A. A1 Asteris, Panagiotis G. PB Elsevier BV YR 2023 SN 0950-0618 JF Construction and Building Materials VO 400 SP 132604 LK http://dx.doi.org/https://doi.org/10.1016/j.conbuildmat.2023.132604 DO https://doi.org/10.1016/j.conbuildmat.2023.132604 SF ELIB - SuUB Bremen
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