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Application of Artificial Intelligence for Water Quality Evaluation

    Authors

    • Hani Kadhim Al-Dhalemi
    • Mohamad Abou Taam
    • Mahmoud Koabaz
,

Document Type : Research Paper

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Abstract

In response to the deterioration in water quality, several governments have started extensive mitigation programs essential stop control regular programs to protect. As a result, the classification of done using the water quality index (WQI). One newly created method for categorizing water quality is soft computing. Consequently, the goal of this project is to create a machine learning system for categorizing water quality. Both in the field and in the lab, measurements of (NH3-N) were made. The concentrations of these six parameters were of the DOE-WQI (Water Quality Index Department of Environment) technique.

Keywords

  • Artificial Intelligence
  • Machine Learning
  • Water Quality Evaluation
  • Model Classification
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    • Article View: 210
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Alkut university college journal
Volume 9, Issue 2
January 2024
Page 225-238
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  • Article View: 210
  • PDF Download: 22

APA

Al-Dhalemi, H. K. , Taam, M. A. and Koabaz, M. (2024). Application of Artificial Intelligence for Water Quality Evaluation. Alkut university college journal, 9(2), 225-238.

MLA

Al-Dhalemi, H. K. , , Taam, M. A. , and Koabaz, M. . "Application of Artificial Intelligence for Water Quality Evaluation", Alkut university college journal, 9, 2, 2024, 225-238.

HARVARD

Al-Dhalemi, H. K., Taam, M. A., Koabaz, M. (2024). 'Application of Artificial Intelligence for Water Quality Evaluation', Alkut university college journal, 9(2), pp. 225-238.

CHICAGO

H. K. Al-Dhalemi , M. A. Taam and M. Koabaz, "Application of Artificial Intelligence for Water Quality Evaluation," Alkut university college journal, 9 2 (2024): 225-238,

VANCOUVER

Al-Dhalemi, H. K., Taam, M. A., Koabaz, M. Application of Artificial Intelligence for Water Quality Evaluation. Alkut university college journal, 2024; 9(2): 225-238.

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