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AI-Driven Wastewater Treatment and Recycling: Smart Water
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Author(s): Likhon Chandra Roy (Rajshahi University of Engineering and Technology, Bangladesh), Mehedi Hashan Riad (Bangladesh University of Engineering and Technology, Bangladesh), Md. Asadullahil Galib Fardin (Rajshahi University of Engineering and Technology, Bangladesh), Md. Rafiul Islam (Rajshahi University of Engineering and Technology, Bangladesh), Samanta Alam (Chicago State University, USA)and Dhananjay Ray (Centre for the Development of Human Initiatives, India)
Copyright: 2026
Pages: 30
Source title:
Computational Intelligence and Optimization Methods for Sustainable Water Management
Source Author(s)/Editor(s): Yassine Ezaier (Hassan II University, Casablanca, Morocco), Rajae Gaamouche (Moroccan School of Engineering Sciences, Rabat, Morocco)and Mohamed Lahby (Hassan II University, Casablanca, Morocco)
DOI: 10.4018/979-8-3373-2700-6.ch011
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Abstract
Life depends on water, yet its management is under more stress than ever. Besides, contamination and the scarcity of water made it impossible to fulfill humans' basic needs. Artificial intelligence (AI) provides revolutionary possibilities through real-time monitoring, statistical analysis, and machine learning, while more than 80% of polluted water worldwide is released untreated. In this chapter, the strategies behind the application of AI in wastewater treatment and recycling are explained. It addresses both opportunities and constraints while striking a balance between creativity and reality. The chapter bridges the gap between technical depth and readable storytelling by referencing industry data, scholarly research, and expert perspectives. It draws attention to how AI is changing water sustainability by transforming wastewater from a liability into a resource.
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