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

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 fl...

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Main Authors: Mohan, Varun Geetha, Ameedeen, Mohamed Ariff, Vijayan, Bincy Lathakumary, Al-Fahim, Mubarak-Ali
Format: Book Chapter
Language:English
English
Published: IGI Global 2022
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/35989/
http://umpir.ump.edu.my/id/eprint/35989/1/A%20review%20on%20predictive%20models%20designed%20from%20artificial%20intelligence%20techniques%20.pdf
http://umpir.ump.edu.my/id/eprint/35989/2/A%20Review%20on%20Predictive%20Models_FULL.pdf
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author Mohan, Varun Geetha
Ameedeen, Mohamed Ariff
Vijayan, Bincy Lathakumary
Al-Fahim, Mubarak-Ali
author_facet Mohan, Varun Geetha
Ameedeen, Mohamed Ariff
Vijayan, Bincy Lathakumary
Al-Fahim, Mubarak-Ali
author_sort Mohan, Varun Geetha
building UMP Institutional Repository
collection Online Access
description 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.
first_indexed 2025-11-15T03:20:44Z
format Book Chapter
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institution Universiti Malaysia Pahang
institution_category Local University
language English
English
last_indexed 2025-11-15T03:20:44Z
publishDate 2022
publisher IGI Global
recordtype eprints
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spelling ump-359892022-12-21T01:35:13Z http://umpir.ump.edu.my/id/eprint/35989/ A review on predictive models designed from artificial intelligence techniques in the wastewater treatment process Mohan, Varun Geetha Ameedeen, Mohamed Ariff Vijayan, Bincy Lathakumary Al-Fahim, Mubarak-Ali QA76 Computer software 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. IGI Global 2022-11 Book Chapter PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/35989/1/A%20review%20on%20predictive%20models%20designed%20from%20artificial%20intelligence%20techniques%20.pdf pdf en http://umpir.ump.edu.my/id/eprint/35989/2/A%20Review%20on%20Predictive%20Models_FULL.pdf 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 https://doi.org/10.4018/978-1-6684-5887-7.ch013 https://doi.org/10.4018/978-1-6684-5887-7.ch013
spellingShingle QA76 Computer software
Mohan, Varun Geetha
Ameedeen, Mohamed Ariff
Vijayan, Bincy Lathakumary
Al-Fahim, Mubarak-Ali
A review on predictive models designed from artificial intelligence techniques in the wastewater treatment process
title A review on predictive models designed from artificial intelligence techniques in the wastewater treatment process
title_full A review on predictive models designed from artificial intelligence techniques in the wastewater treatment process
title_fullStr A review on predictive models designed from artificial intelligence techniques in the wastewater treatment process
title_full_unstemmed A review on predictive models designed from artificial intelligence techniques in the wastewater treatment process
title_short A review on predictive models designed from artificial intelligence techniques in the wastewater treatment process
title_sort review on predictive models designed from artificial intelligence techniques in the wastewater treatment process
topic QA76 Computer software
url http://umpir.ump.edu.my/id/eprint/35989/
http://umpir.ump.edu.my/id/eprint/35989/
http://umpir.ump.edu.my/id/eprint/35989/
http://umpir.ump.edu.my/id/eprint/35989/1/A%20review%20on%20predictive%20models%20designed%20from%20artificial%20intelligence%20techniques%20.pdf
http://umpir.ump.edu.my/id/eprint/35989/2/A%20Review%20on%20Predictive%20Models_FULL.pdf