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Prediction of methyl orange dye (MO) adsorption using activ..:
Saja Mohsen Alardhi
;
Seef Saadi Fiyadh
;
Ali Dawood Salman
.
http://www.sciencedirect.com/science/article/pii/S2405844023000956. , 2023
Link:
https://doi.org/10.1016/j.heliyon.2023.e12888
RT Journal T1
Prediction of methyl orange dye (MO) adsorption using activated carbon with an artificial neural network optimization modeling
UL https://suche.suub.uni-bremen.de/peid=base-ftdoajarticles:oai:doaj.org_article:b5f12b79493f4ac78b446a4fc3d82cd0&Exemplar=1&LAN=DE A1 Saja Mohsen Alardhi A1 Seef Saadi Fiyadh A1 Ali Dawood Salman A1 Mohammademad Adelikhah PB Elsevier YR 2023 K1 Activated carbon K1 Adsorption capacity K1 Artificial neural network K1 Date stones K1 Methyl orange K1 Regression K1 Science (General) K1 Q1-390 K1 Social sciences (General) K1 H1-99 JF http://www.sciencedirect.com/science/article/pii/S2405844023000956 LK http://dx.doi.org/https://doi.org/10.1016/j.heliyon.2023.e12888 DO https://doi.org/10.1016/j.heliyon.2023.e12888 SF ELIB - SuUB Bremen
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