Modeling of Remora Optimization with Deep Learning Enabled Heavy Metal Sorption Efficiency Prediction onto Biochar

Environmental distresses linked to heavy metal (HM) impurity in the water received significant attention among research communities. Recently, advancements in industrial sectors like paper industries, mining, non-ferrous metallurgy, electroplating, mineral paint production, etc. have resulted in mas...

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Veröffentlicht in:	Chemosphere (Oxford) Jg. 303; H. Pt 2; S. 135065
Hauptverfasser:	Almalawi, Abdulmohsen, Khan, Asif Irshad, Alqurashi, Fahad, Abushark, Yoosef B., Alam, Md Mottahir, Qaiyum, Sana
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	England Elsevier Ltd 01.09.2022
Schlagworte:	adsorption Biochar chemical precipitation Deep learning flocculation Heavy metals ion exchange metallurgy microfiltration motivation prediction Predictive model Remora optimization algorithm Sorption efficiency wastewater Deep learning Remora optimization algorithm Biochar Sorption efficiency Heavy metals Predictive model
ISSN:	0045-6535, 1879-1298, 1879-1298
Online-Zugang:	Volltext
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