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Titlebook: The AI Cleanse: Transforming Wastewater Treatment Through Artificial Intelligence; Harnessing Data-Driv Manoj Chandra Garg Book 2024 The Ed

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发表于 2025-3-21 17:00:02 | 显示全部楼层 |阅读模式
书目名称The AI Cleanse: Transforming Wastewater Treatment Through Artificial Intelligence
副标题Harnessing Data-Driv
编辑Manoj Chandra Garg
视频video
概述Cutting-Edge Integration of AI in wastewater treatment.Problem-Solving Solutions for traditional wastewater treatment methods.Bridges the gap between AI and wastewater treatment domain
丛书名称Springer Water
图书封面Titlebook: The AI Cleanse: Transforming Wastewater Treatment Through Artificial Intelligence; Harnessing Data-Driv Manoj Chandra Garg Book 2024 The Ed
描述.This groundbreaking book goes beyond conventional approaches and explores how AI is revolutionizing the field of wastewater treatment, offering innovative solutions to pressing challenges. "The AI Cleanse" takes you on a captivating journey through the convergence of AI and wastewater treatment, revealing the potential for enhanced efficiency, effectiveness, and sustainability. From optimizing treatment processes to intelligent monitoring and fault detection, this book showcases how AI-driven technologies can reshape the way we approach wastewater treatment..Gain a comprehensive understanding of the basics of wastewater treatment and the limitations of traditional methods. Explore the practical applications of AI, such as data acquisition and analysis, process optimization, and resource recovery. Learn about cutting-edge technologies, emerging trends, and future directions in the field..Written in a reader-friendly style, "The AI Cleanse" bridges the gap between theoretical knowledge and practical implementation. Packed with real-world examples, case studies, and insights from experts in the field, this book equips researchers, professionals, and students with the knowledge needed
出版日期Book 2024
关键词Machine Learning; Resource Recovery; Real-time Monitoring; Sustainable Water Treatment; Data acquisition
版次1
doihttps://doi.org/10.1007/978-3-031-67237-8
isbn_softcover978-3-031-67239-2
isbn_ebook978-3-031-67237-8Series ISSN 2364-6934 Series E-ISSN 2364-8198
issn_series 2364-6934
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

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