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

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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Bibliographic Details
Main Authors: Almalawi, A., Khan, A.I., Alqurashi, F., Abushark, Y.B., Alam, M.M., Qaiyum, S.
Format: Article
Published: Elsevier Ltd 2022
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85131544504&doi=10.1016%2fj.chemosphere.2022.135065&partnerID=40&md5=c604604de48a3606ebd9932004c68685
http://eprints.utp.edu.my/33519/
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Institution: Universiti Teknologi Petronas

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https://www.scopus.com/inward/record.uri?eid=2-s2.0-85131544504&doi=10.1016%2fj.chemosphere.2022.135065&partnerID=40&md5=c604604de48a3606ebd9932004c68685
http://eprints.utp.edu.my/33519/

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