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Ecohydrology. --- Eco-hydrology --- Aquatic ecology --- Hydrology

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Hydrology. --- Hydrology --- Aquatic sciences --- Earth sciences --- Hydrography --- Water

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Hydrology. --- Hydrology --- Aquatic sciences --- Earth sciences --- Hydrography --- Water

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Advanced Machine Learning Techniques includes the theoretical foundations of modern machine learning, as well as advanced methods and frameworks used in modern machine learning. Handbook of HydroInformatics, Volume II: Advanced Machine Learning Techniques presents both the art of designing good learning algorithms, as well as the science of analyzing an algorithm's computational and statistical properties and performance guarantees. The global contributors cover theoretical foundational topics such as computational and statistical convergence rates, minimax estimation, and concentration of measure as well as advanced machine learning methods, such as nonparametric density estimation, nonparametric regression, and Bayesian estimation; additionally, advanced frameworks such as privacy, causality, and stochastic learning algorithms are also included. Lastly, the volume presents Cloud and Cluster Computing, Data Fusion Techniques, Empirical Orthogonal Functions and Teleconnection, Internet of Things, Kernel-Based Modeling, Large Eddy Simulation, Patter Recognition, Uncertainty-Based Resiliency Evaluation, and Volume-Based Inverse Mode. This is an interdisciplinary book, and the audience includes postgraduates and early-career researchers interested in: Computer Science, Mathematical Science, Applied Science, Earth and Geoscience, Geography, Civil Engineering, Engineering, Water Science, Atmospheric Science, Social Science, Environment Science, Natural Resources, Chemical Engineering.

Hydrology --- Data processing. --- Machine learning.

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Cet ouvrage expose une pratique scientifique originale qui interroge la rencontre des sciences de la nature et celles de la société. L'auteure, anthropologue, analyse la manière dont des scientifiques de disciplines différentes construisent un raisonnement commun. Elle réfléchit aux pratiques et aux postures de recherche des différentes disciplines. Elle explore ainsi les étapes de construction d'une démarche sociohydrologique. Les hydrologues sont incités par l'anthropologue à prendre conscience ensemble de la manière dont leurs travaux sont engagés dans le monde social. Le dialogue interdisciplinaire est alors centré sur les processus cognitifs et politiques à l'oeuvre dans la production de savoirs hydrologiques.

Hydrology --- Right to water --- Water resources development