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ISBN 10: 111963931X ISBN 13: 9781119639312
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Lingua: Inglese
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ISBN 10: 111963931X ISBN 13: 9781119639312
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ISBN 10: 111963931X ISBN 13: 9781119639312
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Hardcover. Condizione: new. Hardcover. Applying machine learning and optimization technologies to water management problems The rapid development of machine learning brings new possibilities for hydroinformatics research and practice with its ability to handle big data sets, identify patterns and anomalies in data, and provide more accurate forecasts. Advanced Hydroinformatics: Machine Learning and Optimization for Water Resources presents both original research and practical examples that demonstrate how machine learning can advance data analytics, accuracy of modeling and forecasting, and knowledge discovery for better water management. Volume Highlights Include: Overview of the application of artificial intelligence and machine learning techniques in hydroinformaticsAdvances in modeling hydrological systemsDifferent data analysis methods and models for forecasting water resourcesNew areas of knowledge discovery and optimization based on using machine learning techniquesCase studies from North America, South America, the Caribbean, Europe, and Asia The American Geophysical Union promotes discovery in Earth and space science for the benefit of humanity. Its publications disseminate scientific knowledge and provide resources for researchers, students, and professionals. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Lingua: Inglese
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ISBN 10: 111963931X ISBN 13: 9781119639312
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Application of Remote Sensing and GIS in Natural Resources and Built Infrastructure Management | Vijay P. Singh (u. a.) | Taschenbuch | xii | Englisch | 2024 | Springer | EAN 9783031140983 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Aggiungi al carrelloHardcover. Condizione: new. Hardcover. Applying machine learning and optimization technologies to water management problems The rapid development of machine learning brings new possibilities for hydroinformatics research and practice with its ability to handle big data sets, identify patterns and anomalies in data, and provide more accurate forecasts. Advanced Hydroinformatics: Machine Learning and Optimization for Water Resources presents both original research and practical examples that demonstrate how machine learning can advance data analytics, accuracy of modeling and forecasting, and knowledge discovery for better water management. Volume Highlights Include: Overview of the application of artificial intelligence and machine learning techniques in hydroinformaticsAdvances in modeling hydrological systemsDifferent data analysis methods and models for forecasting water resourcesNew areas of knowledge discovery and optimization based on using machine learning techniquesCase studies from North America, South America, the Caribbean, Europe, and Asia The American Geophysical Union promotes discovery in Earth and space science for the benefit of humanity. Its publications disseminate scientific knowledge and provide resources for researchers, students, and professionals. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
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ISBN 10: 111963931X ISBN 13: 9781119639312
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Lingua: Inglese
Editore: John Wiley & Sons Inc, Wasington, 2024
ISBN 10: 111963931X ISBN 13: 9781119639312
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Aggiungi al carrelloHardcover. Condizione: new. Hardcover. Applying machine learning and optimization technologies to water management problems The rapid development of machine learning brings new possibilities for hydroinformatics research and practice with its ability to handle big data sets, identify patterns and anomalies in data, and provide more accurate forecasts. Advanced Hydroinformatics: Machine Learning and Optimization for Water Resources presents both original research and practical examples that demonstrate how machine learning can advance data analytics, accuracy of modeling and forecasting, and knowledge discovery for better water management. Volume Highlights Include: Overview of the application of artificial intelligence and machine learning techniques in hydroinformaticsAdvances in modeling hydrological systemsDifferent data analysis methods and models for forecasting water resourcesNew areas of knowledge discovery and optimization based on using machine learning techniquesCase studies from North America, South America, the Caribbean, Europe, and Asia The American Geophysical Union promotes discovery in Earth and space science for the benefit of humanity. Its publications disseminate scientific knowledge and provide resources for researchers, students, and professionals. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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Aggiungi al carrelloBuch. Condizione: Neu. Aqua Vitae | Unraveling the Story of Water in Latin America | Gerald Augusto Corzo Perez (u. a.) | Buch | The Latin American Studies Book Series | viii | Englisch | 2025 | Springer | EAN 9783031577307 | 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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Aggiungi al carrelloBuch. Condizione: Neu. Application of Remote Sensing and GIS in Natural Resources and Built Infrastructure Management | Vijay P. Singh (u. a.) | Buch | xii | Englisch | 2023 | Springer | EAN 9783031140952 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand.