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Edité par Springer, Berlin, Springer, 2026
ISBN 10 : 3032188520 ISBN 13 : 9783032188526
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Ajouter au panierBuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - Artificial Intelligence in Hydrogeology explores the transformative role of AI in understanding and managing groundwater systems. This comprehensive edited volume brings together leading experts to examine cutting-edge AI techniques applied across diverse aspects of hydrogeology, from groundwater flow modeling and quality assessment to climate change impact and contamination remediation. Each chapter delves into specific applications of machine learning, deep learning, and hybrid models, providing practical insights for advancing groundwater research and resource management. With a focus on both the potential and challenges of AI, this book offers a holistic view of how data-driven solutions are shaping the future of hydrogeology. This book serves as a crucial resource for researchers, practitioners, and students involved in water management, environmental science, and sustainable development in the context of groundwater resources.
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Langue: anglais
Edité par Springer, Berlin, Springer Jul 2026, 2026
ISBN 10 : 3032188520 ISBN 13 : 9783032188526
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Ajouter au panierBuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Artificial Intelligence in Hydrogeology explores the transformative role of AI in understanding and managing groundwater systems. This comprehensive edited volume brings together leading experts to examine cutting-edge AI techniques applied across diverse aspects of hydrogeology, from groundwater flow modeling and quality assessment to climate change impact and contamination remediation. Each chapter delves into specific applications of machine learning, deep learning, and hybrid models, providing practical insights for advancing groundwater research and resource management. With a focus on both the potential and challenges of AI, this book offers a holistic view of how data-driven solutions are shaping the future of hydrogeology. This book serves as a crucial resource for researchers, practitioners, and students involved in water management, environmental science, and sustainable development in the context of groundwater resources. 343 pp. Englisch.
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Ajouter au panierBuch. Etat : Neu. Application of Artificial Intelligence in Hydrogeological Research | Peiyue Li (u. a.) | Buch | Springer Hydrogeology | xix | Englisch | 2026 | Springer | EAN 9783032188526 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand.
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Ajouter au panierBuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -Artificial Intelligence in Hydrogeology explores the transformative role of AI in understanding and managing groundwater systems. This comprehensive edited volume brings together leading experts to examine cutting-edge AI techniques applied across diverse aspects of hydrogeology, from groundwater flow modeling and quality assessment to climate change impact and contamination remediation. Each chapter delves into specific applications of machine learning, deep learning, and hybrid models, providing practical insights for advancing groundwater research and resource management. With a focus on both the potential and challenges of AI, this book offers a holistic view of how data-driven solutions are shaping the future of hydrogeology. This book serves as a crucial resource for researchers, practitioners, and students involved in water management, environmental science, and sustainable development in the context of groundwater resources.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 364 pp. Englisch.