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ACS Omega
(Oct 2023)
Prediction of Thermogravimetric Data in the Thermal Recycling of e‑waste Using Machine Learning Techniques: A Data-driven Approach
Labeeb Ali,
Kaushik Sivaramakrishnan,
Mohamed Shafi Kuttiyathil,
Vignesh Chandrasekaran,
Oday H. Ahmed,
Mohammad Al-Harahsheh,
Mohammednoor Altarawneh
Affiliations
Labeeb Ali
Department of Chemical and Petroleum Engineering, United Arab Emirates University, Al-Ain, United Arab Emirates
Kaushik Sivaramakrishnan
Department of Chemical and Petroleum Engineering, United Arab Emirates University, Al-Ain, United Arab Emirates
Mohamed Shafi Kuttiyathil
Department of Chemical and Petroleum Engineering, United Arab Emirates University, Al-Ain, United Arab Emirates
Vignesh Chandrasekaran
Department of Computer Science, University of British Columbia, Vancouver, Canada
Oday H. Ahmed
Department of Physics, College of Education, Al-Iraqia University, Baghdad, Iraq
Mohammad Al-Harahsheh
Chemical Engineering Department, Jordan University of Science and Technology, Irbid, Jordan
Mohammednoor Altarawneh
Department of Chemical and Petroleum Engineering, United Arab Emirates University, Al-Ain, United Arab Emirates
DOI
https://doi.org/10.1021/acsomega.3c07228
Journal volume & issue
Vol. 8, no. 45
pp. 43254 – 43270
Abstract
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No abstracts available.
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