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Quantitative Information Fusion for Hydrological Sciences

predict natural systems in hydrological sciences. ;

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Fuzzy Logic and Hydrological Modeling

The hydrological sciences typically present grey or fuzzy information, making them quite messy and a choice challenge for fuzzy logic;

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Integrating Multiple Sources of Information for Improving Hydrological Modelling

The availability of Earth observation and numerical weather prediction data for hydrological modelling and water management has increased;

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An Assessment of the Department of Energy's Office of Fusion Energy Sciences Program

The purpose of this assessment of the fusion energy sciences program of the Department of Energy's (DOE's) Office of Science is to evaluate;

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The Mathematical Sciences' Role in Homeland Security

of bioterriost attacks to determine their scope, and data fusion to analyze information coming from simultaneously from several sources. This report;

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Risk, Reliability, Uncertainty, and Robustness of Water Resource Systems

International Hydrological Programme (UNESCO) and the International Association of Hydrological Sciences. Thirty-five leading scientists with;

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The Reviewer's Guide to Quantitative Methods in the Social Sciences

The Reviewer's Guide to Quantitative Methods in the Social Sciences provides evaluators of research manuscripts and proposals in the social;

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The Reviewer S Guide to Quantitative Methods in the Social Sciences

The Reviewer's Guide to Quantitative Methods in the Social Sciences provides evaluators of research manuscripts and proposals in the social;

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Advanced Tokamak Stability Theory

This book describes the advanced stability theories for magnetically confined fusion plasmas, especially in tokamaks. As the fusion plasma;

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Spatiotemporal Analysis of Extreme Hydrological Events

developments and methodologies for analyzing and understanding extreme environmental and hydrological events. The book addresses the topic using spatio;

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Multisensor Fusion for Computer Vision

in multisensor fusion, information fusion for navigation, multisensor fusion for object recognition, network approaches to multisensor fusion, computer;

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Possibility Theory for the Design of Information Fusion Systems

possibility theory for the computer-based design of an information fusion system where the goal is decision support for industries in smart ICT;

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Handbook of Engineering Hydrology

, regionalization of hydrological extreme events, remote sensing data and information for hydrological monitoring and modeling Application of copulas;

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Networked Filtering and Fusion in Wireless Sensor Networks

fusion as the method of choice for implementing distributed systems. The book examines the state of the art in information fusion. It presents;

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Networked Filtering and Fusion in Wireless Sensor Networks

fusion as the method of choice for implementing distributed systems. The book examines the state of the art in information fusion. It presents;

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Natural Resources - Technology, Economics & Policy

, information, etc. sciences) management of local resources (waters, soils, bioresources, minerals, rocks, sediments, etc.) in an ecologically;

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Hybrid models for Hydrological Forecasting: integration of data-driven and conceptual modelling techniques

application of modular modelling and fuzzy committee models to the problem of downscaling weather information for hydrological forecasting. The;

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Hybrid models for Hydrological Forecasting: integration of data-driven and conceptual modelling techniques

forecasting. The application of modular modelling and fuzzy committee models to the problem of downscaling weather information for hydrological;

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Rainfall Forecasting

Rainfall is often considered as the source of the hydrological cycle. Being able to forecast rainfall accurately has immense practical;

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Distributed Data Fusion for Network-Centric Operations

guidance and insight for those working on the complex issues of designing and implementing distributed, decentralized information fusion.;

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Image Fusion Techniques for Remote Sensed Data

of sensors. In order to improve the dependability for extracting information, and enhance the efficiency of the data. The image fusion results in a;

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Statistical Downscaling for Hydrological and Environmental Applications

, statistical downscaling is typically employed. Statistical Downscaling for Hydrological and Environmental Applications presents statistical;

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Introduction to Quantitative Data Analysis in the Behavioral and Social Sciences

decisions during data analysis Introduction to Quantitative Data Analysis in the Behavioral and Social Sciences is an ideal textbook for upper;

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Value Of Information In The Earth Sciences

Gathering the right kind and the right amount of information is crucial for any decision-making process. This book presents a unified;

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Possibility Theory for the Design of Information Fusion Systems

possibility theory for the computer-based design of an information fusion system where the goal is decision support for industries in smart ICT;

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Multisensor Fusion and Integration in the Wake of Big Data, Deep Learning and Cyber Physical System

multifinger hands, robotics, micro/nano systems, information fusion and sensors, and multimodal integration in HCI and HRI. The book is intended for;

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Health Monitoring and Personalized Feedback using Multimedia Data

This book presents how multimedia data analysis, information retrieval and indexing are central for comprehensive, personalized, adaptive;

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