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Published by Metabolic Science Press, 2026
ISBN 10: 1764497317 ISBN 13: 9781764497312
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Published by Metabolic Science Press, 2026
ISBN 10: 1764497317 ISBN 13: 9781764497312
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Add to basketPaperback. Condition: Brand New. 236 pages. 7.00x0.54x10.00 inches. In Stock.
Language: English
Published by Engineering Science Reference, 2018
ISBN 10: 1522547665 ISBN 13: 9781522547662
Seller: Scissortail, Oklahoma City, OK, U.S.A.
Condition: good. This is a pre-loved book that shows moderate signs of wear from previous reading. You may notice creases, edge wear, or a cracked spine, but it remains in solid, readable condition.Please note:-May include library or rental stickers, stamps, or markings.-Supplemental materials e.g., CDs, access codes, inserts are not guaranteed.-Box sets may not come with the original outer box. If it does, the box will not be in perfect condition. -Sourced from donation centers; authenticity not verified with publisher. Your satisfaction is our top priority! If you have any questions or concerns about your order, please don't hesitate to reach out. Thank you for shopping with us and supporting small businessâ"happy reading!
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Condition: New. pp. 576.
Taschenbuch. Condition: Neu. Water Engineering Modeling and Mathematic Tools | Pijush Samui (u. a.) | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2021 | Elsevier | EAN 9780128206447 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
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Language: English
Published by Butterworth-Heinemann, 2019
ISBN 10: 0128165146 ISBN 13: 9780128165140
Seller: GreatBookPrices, Columbia, MD, U.S.A.
Condition: New.
Language: English
Published by Elsevier Science Publishing Co Inc, US, 2021
ISBN 10: 0128206446 ISBN 13: 9780128206447
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Add to basketPaperback. Condition: New. Water Engineering Modeling and Mathematic Tools provides an informative resource for practitioners who want to learn more about different techniques and models in water engineering and their practical applications and case studies. The book provides modelling theories in an easy-to-read format verified with on-site models for specific regions and scenarios. Users will find this to be a significant contribution to the development of mathematical tools, experimental techniques, and data-driven models that support modern-day water engineering applications. Civil engineers, industrialists, and water management experts should be familiar with advanced techniques that can be used to improve existing systems in water engineering. This book provides key ideas on recently developed machine learning methods and AI modelling. It will serve as a common platform for practitioners who need to become familiar with the latest developments of computational techniques in water engineering.
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