Description
The Science of AI in Water Management provides an in-depth exploration of how artificial intelligence and machine learning technologies are transforming the water industry. From predictive analytics for infrastructure maintenance to real-time water quality monitoring, this book covers the cutting-edge applications of AI in solving critical water management challenges.
Frank R. Spellman examines practical implementations of AI algorithms, data analysis, and automation systems used by water utilities worldwide. The book addresses key topics including leak detection, demand forecasting, treatment optimization, and resource allocation. Perfect for water professionals, environmental engineers, and technology innovators, this guide bridges the gap between AI theory and real-world water management applications, offering actionable insights for modernizing water systems.
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