Electrocoagulation-based AZO DYE (P4R) Removal Rate Prediction Model using Deep Learning

Meryem Akoulih, Smail Tigani, Fouzia Byoud, Meryem El Rharib, Rachid Saadane, Samuel Pierre, Abdelah Chehri and Sanae El Ghachtouli

Paper (2023)

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Department:	Department of Computer Engineering and Software Engineering
PolyPublie URL:	https://publications.polymtl.ca/58885/
Conference Title:	2023 International Symposium on Green Technologies and Applications (ISGTA 2023)
Conference Location:	Casablanca, Morocco
Conference Date(s):	2023-12-27 - 2023-12-29
Journal Title:	Procedia Computer Science (vol. 236)
Publisher:	Elsevier
DOI:	10.1016/j.procs.2024.05.003
Official URL:	https://doi.org/10.1016/j.procs.2024.05.003
Date Deposited:	29 Jul 2024 13:39
Last Modified:	29 Jul 2024 13:40

Cite in APA 7:

Akoulih, M., Tigani, S., Byoud, F., Rharib, M. E., Saadane, R., Pierre, S., Chehri, A., & Ghachtouli, S. E. (2023, December). Electrocoagulation-based AZO DYE (P4R) Removal Rate Prediction Model using Deep Learning [Paper]. 2023 International Symposium on Green Technologies and Applications (ISGTA 2023), Casablanca, Morocco. Published in Procedia Computer Science, 236. https://doi.org/10.1016/j.procs.2024.05.003

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