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...
| Main Authors: | , , , |
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| Format: | Book Chapter |
| Language: | English English |
| Published: |
IGI Global
2022
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| 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 |
| _version_ | 1848824923128070144 |
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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 |
| id | ump-35989 |
| 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 |
| repository_type | Digital Repository |
| 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 |