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  • Langue : anglais

    Edité par MDPI AG, 2026

    3725889295 / 9783725889297

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    Vendeur : PBShop.store US, Wood Dale, IL, Etats-UnisPBShop.store US

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    EUR 83,91

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    HRD. Etat : New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

  • Langue : anglais

    Edité par MDPI AG, 2026

    3725889295 / 9783725889297

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    Vendeur : PBShop.store UK, Fairford, GLOS, Royaume-UniPBShop.store UK

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    Etat: Neuf

    EUR 77,77

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    HRD. Etat : New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

  • Edité par Mdpi AG, 2026

    3725889295 / 9783725889297

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    Vendeur : Grand Eagle Retail, Bensenville, IL, Etats-UnisGrand Eagle Retail

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    Etat: Neuf

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    Hardcover. Etat : 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.…

  • Edité par Mdpi AG, 2026

    3725889295 / 9783725889297

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    Vendeur : CitiRetail, Stevenage, Royaume-UniCitiRetail

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    Etat: Neuf

    EUR 87,73

    EUR 44,39 expédition 
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    Hardcover. Etat : 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.…

  • Edité par Mdpi AG, 2026

    3725889295 / 9783725889297

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    Vendeur : AussieBookSeller, Truganina, VIC, AustralieAussieBookSeller

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    Etat: Neuf

    EUR 101,95

    EUR 33,16 expédition 
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    Hardcover. Etat : 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.…

  • Edité par MDPI AG, 2026

    3725889295 / 9783725889297

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    Vendeur : preigu, Osnabrück, Allemagnepreigu

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    EUR 127,05

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    Buch. Etat : 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.…

  • Edité par MDPI AG

    3725889295 / 9783725889297

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    Vendeur : AHA-BUCH GmbH, Einbeck, AllemagneAHA-BUCH GmbH

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    Etat: Neuf

    EUR 117,70

    EUR 35,00 expédition 
    Expédition depuis Allemagne vers Etats-Unis

    Quantité disponible : 2 disponibles

    Buch. Etat : 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. …