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  • Language: English

    Published by Mdpi AG, 2026

    3725889295 / 9783725889297

    • Hardcover

    Seller: California Books, Miami, FL, U.S.A.California Books

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  • Language: English

    Published by MDPI AG, 2026

    3725889295 / 9783725889297

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  • Language: English

    Published by MDPI AG, 2026

    3725889295 / 9783725889297

    • Hardcover
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    Seller: PBShop.store UK, Fairford, GLOS, United KingdomPBShop.store UK

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  • Published by Mdpi AG, 2026

    3725889295 / 9783725889297

    • Hardcover
    • Print on Demand

    Seller: Grand Eagle Retail, Bensenville, IL, U.S.A.Grand Eagle Retail

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    Hardcover. Condition: new. Hardcover. Mathematical models have played increasingly important roles in investigating complex water resources and water environmental problems over the past one hundred years. With the rapid development of big data technology, scientific computing is now evolving from the traditional physical-based calculations to the increasingly popular data-driven models grounded on artificial neural networks. The active research topics include the model selection, algorithm output judgement, visualization of results, useful information extraction, and the integration of physical-based and machine learning approaches. This Reprint focuses on mathematical modelling and numerical simulations in the fields of environmental hydraulics and water resource engineering, aiming to share the latest research endeavours, technological progress, and case studies from around the world. It includes the integration and application of artificial intelligence technologies into the conventional computational modelling exercises, addressing the difficulties of small datasets, interconnected systems, and extreme environmental changes. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

  • Published by Mdpi AG, 2026

    3725889295 / 9783725889297

    • Hardcover
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    Hardcover. Condition: new. Hardcover. Mathematical models have played increasingly important roles in investigating complex water resources and water environmental problems over the past one hundred years. With the rapid development of big data technology, scientific computing is now evolving from the traditional physical-based calculations to the increasingly popular data-driven models grounded on artificial neural networks. The active research topics include the model selection, algorithm output judgement, visualization of results, useful information extraction, and the integration of physical-based and machine learning approaches. This Reprint focuses on mathematical modelling and numerical simulations in the fields of environmental hydraulics and water resource engineering, aiming to share the latest research endeavours, technological progress, and case studies from around the world. It includes the integration and application of artificial intelligence technologies into the conventional computational modelling exercises, addressing the difficulties of small datasets, interconnected systems, and extreme environmental changes. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

  • Published by Mdpi AG, 2026

    3725889295 / 9783725889297

    • Hardcover
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    Hardcover. Condition: new. Hardcover. Mathematical models have played increasingly important roles in investigating complex water resources and water environmental problems over the past one hundred years. With the rapid development of big data technology, scientific computing is now evolving from the traditional physical-based calculations to the increasingly popular data-driven models grounded on artificial neural networks. The active research topics include the model selection, algorithm output judgement, visualization of results, useful information extraction, and the integration of physical-based and machine learning approaches. This Reprint focuses on mathematical modelling and numerical simulations in the fields of environmental hydraulics and water resource engineering, aiming to share the latest research endeavours, technological progress, and case studies from around the world. It includes the integration and application of artificial intelligence technologies into the conventional computational modelling exercises, addressing the difficulties of small datasets, interconnected systems, and extreme environmental changes. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.…

  • Published by MDPI AG, 2026

    3725889295 / 9783725889297

    • Hardcover
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    Seller: preigu, Osnabrück, Germanypreigu

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    Buch. Condition: Neu. Computer Modelling Techniques in Environmental Hydraulics and Water Resource Engineering | Buch | Englisch | 2026 | MDPI AG | EAN 9783725889297 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.…

  • Published by MDPI AG

    3725889295 / 9783725889297

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    Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH

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    Buch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Mathematical models have played increasingly important roles in investigating complex water resources and water environmental problems over the past one hundred years. With the rapid development of big data technology, scientific computing is now evolving from the traditional physical-based calculations to the increasingly popular data-driven models grounded on artificial neural networks. The active research topics include the model selection, algorithm output judgement, visualization of results, useful information extraction, and the integration of physical-based and machine learning approaches. This Reprint focuses on mathematical modelling and numerical simulations in the fields of environmental hydraulics and water resource engineering, aiming to share the latest research endeavours, technological progress, and case studies from around the world. It includes the integration and application of artificial intelligence technologies into the conventional computational modelling exercises, addressing the difficulties of small datasets, interconnected systems, and extreme environmental changes.…