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Using a supervised machine learning approach to predict water quality at the Gaza wastewater treatment plant

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Al-Azhar University – Gaza
Hamada M.S.; Zaqoot H.A.; Sethar W.A.
Hamada, Mazen S. (7403131843); Zaqoot, Hossam Adel (35724929200); Sethar, Waqar Ahmed (57764367000)
7403131843; 35724929200; 57764367000
2023
Environmental Science: Advances
Using a supervised machine learning approach to predict water quality at the Gaza wastewater treatment plant
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132
144
Royal Society of Chemistry
Department of Chemistry, Faculty of Science, Al Azhar University, Strip, Gaza, Palestine; Environment Quality Authority (Palestinian Authority), Strip, Gaza, Palestine; Mehran University Institute of Science, Technology and Development, Mehran University of Engineering and Technology, Jamshoro, Pakistan
Hamada M.S., Department of Chemistry, Faculty of Science, Al Azhar University, Strip, Gaza, Palestine; Zaqoot H.A., Environment Quality Authority (Palestinian Authority), Strip, Gaza, Palestine; Sethar W.A., Mehran University Institute of Science, Technology and Development, Mehran University of Engineering and Technology, Jamshoro, Pakistan
H.A. Zaqoot; Environment Quality Authority (Palestinian Authority), Gaza, Strip, Palestine; email: hanreen2@yahoo.com
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10.1039/d3va00170a