Sprache: Englisch
Verlag: Academic Press (edition 1), 2022
ISBN 10: 0323855970 ISBN 13: 9780323855976
Anbieter: BooksRun, Philadelphia, PA, USA
Paperback. Zustand: Very Good. 1. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.
Anbieter: PBShop.store UK, Fairford, GLOS, Vereinigtes Königreich
EUR 74,20
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PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.
Sprache: Englisch
Verlag: Elsevier Science & Technology, 2022
ISBN 10: 0323855970 ISBN 13: 9780323855976
Anbieter: Kennys Bookstore, Olney, MD, USA
Zustand: New. 2022. Paperback. . . . . . Books ship from the US and Ireland.
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EUR 114,37
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In den WarenkorbZustand: New.
Anbieter: moluna, Greven, Deutschland
Zustand: New. Captures the application of data science and artificial intelligence for a broader spectrum of environmental engineering problems Presents methods and procedures as well as case studies where state-of-the-art technologies are applied in ac.
Sprache: Englisch
Verlag: Elsevier Science & Technology, 2022
ISBN 10: 0323855970 ISBN 13: 9780323855976
Anbieter: preigu, Osnabrück, Deutschland
Taschenbuch. Zustand: Neu. Current Trends and Advances in Computer-Aided Intelligent Environmental Data Engineering | Goncalo Marques (u. a.) | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2022 | Elsevier Science & Technology | EAN 9780323855976 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu.
Sprache: Englisch
Verlag: Elsevier Science & Technology Mär 2022, 2022
ISBN 10: 0323855970 ISBN 13: 9780323855976
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Taschenbuch. Zustand: Neu. Neuware - Current Trends and Advances in Computer-Aided Intelligent Environmental Data Engineering merges computer engineering and environmental engineering. The book presents the latest finding on how data science and AI-based tools are being applied in environmental engineering research. This application involves multiple domains such as data science and artificial intelligence to transform the data collected by intelligent sensors into relevant and reliable information to support decision-making. These tools include fuzzy logic, knowledge-based systems, particle swarm optimization, genetic algorithms, Monte Carlo simulation, artificial neural networks, support vector machine, boosted regression tree, simulated annealing, ant colony algorithm, decision tree, immune algorithm, and imperialist competitive algorithm. This book is a fundamental information source because it is the first book to present the foundational reference material in this new research field. Furthermore, it gives a critical overview of the latest cross-domain research findings and technological developments on the recent advances in computer-aided intelligent environmental data engineering.