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
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