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, soil conservation, rainfall-runoff processes, and groundwater hydrology. Watershed Management and Applications of AI provides the necessary;
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of watersheds. Contributions cover the following topics: sound watershed management practices (case studies and examples from various countries;
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Artificial Intelligence for Healthcare Applications and Management introduces application domains of various AI algorithms;
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, aspiring researchers and practitioners involved in management and computer science, so they can obtain a high-level of understanding of AI and;
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hydrologic forecasting, hydrologic design, and water resources management. These models are based on general mathematical descriptions of the;
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degradation, micro climates, watershed management and planning Covers remote sensing applications in broad areas of agriculture, hydrology, land use;
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, provides examples, and includes information on the risk-management process. Having a solid knowledge base for an AI project is key and this book;
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Artificial Intelligence in Cancer: Diagnostic to Tailored Treatment provides theoretical concepts and practical techniques of AI and;
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fits into watershed planning and management, describes frequent shortfalls of monitoring programs around the world (with an emphasis on North;
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fits into watershed planning and management, describes frequent shortfalls of monitoring programs around the world (with an emphasis on North;
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. They cover topics in AI Modeling, AI Analysis, AI and Mobile Applications, AI Architecture, AI Management, AI Engineering, Mobile backend as a;
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concepts of watershed hydrology and watershed management in depth. The basic types, of soil erosion and its measurement and estimation of runoff;
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concepts of watershed hydrology and watershed management in depth. The basic types, of soil erosion and its measurement and estimation of runoff;
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technical papers presenting new and innovative developments in the field as well as application papers presenting innovative applications of AI;
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Get the most up-to-date and comprehensive guide to watershed analysis and management. In Watersheds: Processes, Assessment, and Management;
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?and the rise of AI in this arena. The ten following chapters are written by specialists in each area, covering the whole healthcare ecosystem;
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management end up being so political? In Embracing Watershed Politics, political scientists Edella Schlager and William Blomquist provide timely;
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Artificial Intelligence Techniques for Networked Manufacturing Enterprises Management addresses prominent concepts and applications of AI;
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, Wetlands, Ground water & land use IV Watershed Management V GIS technology VI Urban & regional studies VII Disaster Management;
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management, medical health, smart homes and energy. Readers will also learn about how AI can extract useful information from Big Data in IoT systems;
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Ascend AI Processor Architecture and Programming: Principles and Applications of CANN offers in-depth AI applications using Huawei's;
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toward the researchers aspiring to learn and apply intelligent data analytics techniques. The first part covers AI, machine learning and data;
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power system management and is also be useful for those who are interested in using artificial intelligence in power system optimization.;
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gateway to the diverse scientific literature that is urgently needed to understand and solve ubiquitous watershed management problems. The authors;
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learning, graph-based and semi-supervised learning, neural networks, deep learning, planning and optimization, and other AI applications. The;
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management; multi-agent systems; data mining and machine learning; computer vision; robotics; AI in bioinformatics; AI in security and networks; and;
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