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Potential of artificial intelligence and response surface m..:
Noroozian, Mohadeseh
;
Ghaemi, Ahad
;
Heidari, Zeinab
Case Studies in Chemical and Environmental Engineering. 8 (2023) - p. 100442 , 2023
Link:
https://doi.org/10.1016/j.cscee.2023.100442
RT Journal T1 <Title>Potential of artificial intelligence and response surface methodology to predict CO2 capture by KOH-modified activated alumina</Title> UL https://suche.suub.uni-bremen.de/peid=cr-10.1016_j.cscee.2023.100442&Exemplar=1&LAN=DE A1 Noroozian, Mohadeseh A1 Ghaemi, Ahad A1 Heidari, Zeinab PB Elsevier BV YR 2023 SN 2666-0164 JF Case Studies in Chemical and Environmental Engineering VO 8 SP 100442 LK http://dx.doi.org/https://doi.org/10.1016/j.cscee.2023.100442 DO https://doi.org/10.1016/j.cscee.2023.100442 SF ELIB - SuUB Bremen
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