Artificial neural networks modeling for lead removal from aqueous solutions using iron oxide nanocomposites from bio-waste mass.

Autor: Narayana PL; School of Materials Science and Engineering, Engineering Research Institute, Gyeongsang National University, Jinju, Republic of Korea., Maurya AK; School of Materials Science and Engineering, Engineering Research Institute, Gyeongsang National University, Jinju, Republic of Korea., Wang XS; School of Materials Science and Engineering, Engineering Research Institute, Gyeongsang National University, Jinju, Republic of Korea., Harsha MR; Machine Learning and Artificial Intelligence, International Institute of Information Technology, Banglore, India., Srikanth O; Department of Mechanical Engineering, Dhanekula Institute of Engineering & Technology, Ganguru, Vijayawada, 521139, India., Alnuaim AA; Department of Computer Science and Engineering, College of Applied Studies and Community Services, King Saud University, Riyadh, 11451, Saudi Arabia., Hatamleh WA; Department of Computer Science, College of Computer and Information Sciences, King Saud University, Riyadh, 11451, Saudi Arabia., Hatamleh AA; Department of Botany and Microbiology, College of science, King Saud University, Riyadh, 11451, Saudi Arabia., Cho KK; Department of Materials Engineering and Convergence Technology & RIGET, Gyeongsang National University, Jinju, South Korea., Paturi UMR; Department of Mechanical Engineering, CVR College of Engineering, Hyderabad, 501510, Telangana, India. Electronic address: maheshpaturi@gmail.com., Reddy NS; School of Materials Science and Engineering, Engineering Research Institute, Gyeongsang National University, Jinju, Republic of Korea. Electronic address: nsreddy@gnu.ac.kr.

Publikováno v: Environmental research [Environ Res] 2021 Aug; Vol. 199, pp. 111370. Date of Electronic Publication: 2021 May 25.