Artificial intelligence techniques applications in the wastewater: A comprehensive review
There are some challenges are firms the wastewater treatment, numerous hurdles concerning the enhancement of the energy efficiency, compliance with the increasingly stringent water quality regulations, and the maximizing resource recovery opportunities. In recent years, the computational models have...
Saved in:
| Main Authors: | , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
EDP Sciences
2025-01-01
|
| Series: | E3S Web of Conferences |
| Online Access: | https://www.e3s-conferences.org/articles/e3sconf/pdf/2025/05/e3sconf_icenis2024_03006.pdf |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832098523356594176 |
|---|---|
| author | Zakur Yahya Márquez Fausto Al-Taie Ali Alsaidi Saif Alsadoon Abeer Mirashrafi Seyed Bagher Flaih Laith Zakoor Yousif |
| author_facet | Zakur Yahya Márquez Fausto Al-Taie Ali Alsaidi Saif Alsadoon Abeer Mirashrafi Seyed Bagher Flaih Laith Zakoor Yousif |
| author_sort | Zakur Yahya |
| collection | DOAJ |
| description | There are some challenges are firms the wastewater treatment, numerous hurdles concerning the enhancement of the energy efficiency, compliance with the increasingly stringent water quality regulations, and the maximizing resource recovery opportunities. In recent years, the computational models have garnered acknowledgment as potent instruments for tackling these various challenges, bolstering of the operational and economic effectiveness of the various wastewater treatment plants (“WWTPs”). Also, the review discusses the application of the various (AI) algorithms on the various wastewater treatment plants (WWTPs), predicting (“WWTP”) effluent properties, the wastewater inflows, the anomaly detecting, and the energy optimization. The critical gaps and the future directions in the (AI) algorithms for the wastewater treatment, including the explain ability of the data-driven models or transfer Learning processes and reinforcement learning, are also addressed. |
| format | Article |
| id | doaj-art-830c04526c594aa7bf83da5c3c07530a |
| institution | Kabale University |
| issn | 2267-1242 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | E3S Web of Conferences |
| spelling | doaj-art-830c04526c594aa7bf83da5c3c07530a2025-02-05T10:49:10ZengEDP SciencesE3S Web of Conferences2267-12422025-01-016050300610.1051/e3sconf/202560503006e3sconf_icenis2024_03006Artificial intelligence techniques applications in the wastewater: A comprehensive reviewZakur Yahya0Márquez Fausto1Al-Taie Ali2Alsaidi Saif3Alsadoon Abeer4Mirashrafi Seyed Bagher5Flaih Laith6Zakoor Yousif7University of Mazandaran, Faculty of Mathematical SciencesIngenium Research Group, Universidad Castilla-La ManchaDepartment of Mathematics, Faculty of Education for Pure Sciences, Wasit UniversityDepartment of Software, College of Computer Science and Information Technology, Wasit UniversityAsia Pacific International College (APIC)University of Mazandaran, Faculty of Mathematical SciencesDepartment of Computer Sciences, College of Science, Cihan University-ErbilDepartment of Civil Engineering, College of Engineering, Wasit UniversityThere are some challenges are firms the wastewater treatment, numerous hurdles concerning the enhancement of the energy efficiency, compliance with the increasingly stringent water quality regulations, and the maximizing resource recovery opportunities. In recent years, the computational models have garnered acknowledgment as potent instruments for tackling these various challenges, bolstering of the operational and economic effectiveness of the various wastewater treatment plants (“WWTPs”). Also, the review discusses the application of the various (AI) algorithms on the various wastewater treatment plants (WWTPs), predicting (“WWTP”) effluent properties, the wastewater inflows, the anomaly detecting, and the energy optimization. The critical gaps and the future directions in the (AI) algorithms for the wastewater treatment, including the explain ability of the data-driven models or transfer Learning processes and reinforcement learning, are also addressed.https://www.e3s-conferences.org/articles/e3sconf/pdf/2025/05/e3sconf_icenis2024_03006.pdf |
| spellingShingle | Zakur Yahya Márquez Fausto Al-Taie Ali Alsaidi Saif Alsadoon Abeer Mirashrafi Seyed Bagher Flaih Laith Zakoor Yousif Artificial intelligence techniques applications in the wastewater: A comprehensive review E3S Web of Conferences |
| title | Artificial intelligence techniques applications in the wastewater: A comprehensive review |
| title_full | Artificial intelligence techniques applications in the wastewater: A comprehensive review |
| title_fullStr | Artificial intelligence techniques applications in the wastewater: A comprehensive review |
| title_full_unstemmed | Artificial intelligence techniques applications in the wastewater: A comprehensive review |
| title_short | Artificial intelligence techniques applications in the wastewater: A comprehensive review |
| title_sort | artificial intelligence techniques applications in the wastewater a comprehensive review |
| url | https://www.e3s-conferences.org/articles/e3sconf/pdf/2025/05/e3sconf_icenis2024_03006.pdf |
| work_keys_str_mv | AT zakuryahya artificialintelligencetechniquesapplicationsinthewastewateracomprehensivereview AT marquezfausto artificialintelligencetechniquesapplicationsinthewastewateracomprehensivereview AT altaieali artificialintelligencetechniquesapplicationsinthewastewateracomprehensivereview AT alsaidisaif artificialintelligencetechniquesapplicationsinthewastewateracomprehensivereview AT alsadoonabeer artificialintelligencetechniquesapplicationsinthewastewateracomprehensivereview AT mirashrafiseyedbagher artificialintelligencetechniquesapplicationsinthewastewateracomprehensivereview AT flaihlaith artificialintelligencetechniquesapplicationsinthewastewateracomprehensivereview AT zakooryousif artificialintelligencetechniquesapplicationsinthewastewateracomprehensivereview |