株式会社極東書店トップ ＞ 商品一覧 ＞ Artificial Intelligence in Water and Wastewater Treatment Systems: Modeling, Optimization, and Control for Pollution Removal.
商品詳細
Artificial Intelligence in Water and Wastewater Treatment Systems: Modeling, Optimization, and Control for Pollution Removal.
・ISBN 978-3-032-22384-5 hard EUR 139.99
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| 著者・編者 | Musamba, Banza Jean Claude / Sibali, Linda Lunga / Masindi, Vhahangwele, |
|---|---|
| シリーズ | (Studies in Computational Intelligence) |
| 出版社 | (Springer Nature Switzerland AG, SZ) |
| 出版年月 | 2026 |
| ページ数 | 139 pp. |
| 言語 | ENG |
| ニュース番号 | ＜A05-59649＞ |
解説
This book presents a comprehensive and practical overview of machine learning-driven adsorption processes for pollution removal from wastewater, with a focus on modeling, optimization, and mechanistic insights. It explores how techniques such as Artificial Neural Networks (ANN), Adaptive Neuro-Fuzzy Inference Systems (ANFIS), and Response Surface Methodology (RSM) can enhance the efficiency of removing heavy metals-including Chromium (VI), Copper (II), Cadmium (II), and Zinc (II)-using biodegradable and nanostructured adsorbents like modified cellulose nanocrystals. Through detailed case studies, experimental methodologies, and comparative analysis of AI algorithms, this book bridges traditional adsorption science with advanced computational approaches, offering valuable tools and insights for researchers, engineers, and practitioners working in environmental science, chemical engineering, and sustainable water treatment.