A review on predictive models designed from artificial intelligence techniques in the wastewater treatment process

Mohan, Varun Geetha and Ameedeen, Mohamed Ariff and Vijayan, Bincy Lathakumary and Al-Fahim, Mubarak-Ali (2022) A review on predictive models designed from artificial intelligence techniques in the wastewater treatment process. In: Trends, Paradigms, and Advances in Mechatronics Engineering. Premier Reference Source . IGI Global, Pennsylvania, United States, pp. 242-264. ISBN 9781668458877

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Abstract

Modeling and optimization of pollutant removal processes are the best solutions to increase the efficiency of wastewater treatment. The relationship between input and output parameters in wastewater treatment processes (WWTP) are complicated. Artificial intelligence (AI) models are generally more flexible when compared with statistical models while modeling complex datasets with nonlinearity and missing data. Studies on AI-based WWTP are increasing day by day. Therefore, it is crucial to review the AI techniques available which are implemented for WWTP. Such a review helps classifying the techniques that are invented and helps to identify challenges as well as gaps for future studies. Lastly, it can sort out the best AI technique to design predictive models for WWTPs.

Item Type:	Book Chapter
Uncontrolled Keywords:	Artificial intelligence; Wastewater treatment processes; Datasets
Subjects:	Q Science > QA Mathematics > QA76 Computer software
Faculty/Division:	Institute of Postgraduate Studies Faculty of Computing
Depositing User:	Mrs Norsaini Abdul Samat
Date Deposited:	21 Dec 2022 01:35
Last Modified:	21 Dec 2022 01:35
URI:	http://umpir.ump.edu.my/id/eprint/35989
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