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A new insight for real-time wastewater quality prediction using hybridized kernel-based extreme learning machines with advanced optimization algorithms |
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| Authors: | Alavi Javad Ewees Ahmed A Ansari Sepideh Shahid Shamsuddin Yaseen Zaher Mundher |
| Institution: | 1.Department of Environmental Sciences and Engineering, Kheradgarayan Motahar Institute of Higher Education, Mashhad, Iran ;2.Computer Department, Damietta University, Damietta, Egypt ;3.School of Civil Engineering, Faculty of Engineering, Universiti Teknologi Malaysia (UTM), 81310, Johor Bahru, Malaysia ;4.Department of Urban Planning, Engineering Networks and Systems, Institute of Architecture and Construction, South Ural State University, 76, Lenin Prospect, 454080, Chelyabinsk, Russia ;5.New Era and Development in Civil Engineering Research Group, Scientific Research Center, Al-Ayen University, Thi-Qar, Nasiriyah, 64001, Iraq ;6.College of Creative Design, Asia University, Taichung City, Taiwan ; |
| Abstract: | Environmental Science and Pollution Research - Accurate prediction of inlet chemical oxygen demand (COD) is vital for better planning and management of wastewater treatment plants. The COD values... |
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