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Data Fusion Mathematics

systems, large-scale structures, and large industrial automation plants. Data Fusion Mathematics: Theory and Practice offers a comprehensive;

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Data Fusion Mathematics

systems, large-scale structures, and large industrial automation plants. Data Fusion Mathematics: Theory and Practice offers a comprehensive;

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Multisensor Data Fusion

Multisensor Data Fusion: From Algorithms and Architectural Design to Applications covers the contemporary theory and practice;

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Multisensor Data Fusion

Multisensor Data Fusion: From Algorithms and Architectural Design to Applications covers the contemporary theory and practice;

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Handbook of Multisensor Data Fusion

, and intelligent buildings. Handbook of Multisensor Data Fusion: Theory and Practice, Second Edition represents the most current concepts;

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Mathematical Techniques in Multi-sensor Data Fusion

of mathematical and heuristic techniques for combining data from multiple sources, the book shows how to implement a data fusion system, describes the;

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Multisensor Fusion Estimation Theory and Application

This book focuses on the basic theory and methods of multisensor data fusion state estimation and its application. It consists of four;

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Data Fusion: Concepts and Ideas

This textbook provides a comprehensive introduction to the concepts and idea of multisensor data fusion. It is an extensively revised;

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Multi-Sensor Data Fusion With MATLAB

fusion algorithms for the fusion of image data from sensors. It also presents procedures for combing tracks obtained from imaging sensor and;

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Data Fusion and Data Mining for Power System Monitoring

Data Fusion and Data Mining for Power System Monitoring provides a comprehensive treatment of advanced data fusion and data mining;

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Data Fusion and Data Mining for Power System Monitoring

Data Fusion and Data Mining for Power System Monitoring provides a comprehensive treatment of advanced data fusion and data mining;

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Fusion Protein Technologies For Biopharmaceuticals

balancing between proven concepts and new ideas that have not reached the clinic yet. The book is structured into three larger parts. First general;

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NDT Data Fusion

to the concept of multisensor integration and data fusion applied to NDT. The advantages of this methodology are widely acknowledged and the;

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Distributed Data Fusion for Network-Centric Operations

buildings and defense. Drawing on the work of leading experts around the world, Distributed Data Fusion for Network-Centric Operations examines the;

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Image Fusion

previous work on multi-sensor data [1] fusion by concentrating exclusively on the theories, techniques and app- cations of image fusion. The book;

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Fusion of Security System Data to Improve Airport Security

a discussion of the data fusion, an analysis of current data fusion efforts, and an assessment of data fusion opportunities for various;

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Possibility Theory for the Design of Information Fusion Systems

theory, and fills an important gap in this era of Big Data and Internet of Things. The book discusses fundamental possibilistic concepts;

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Multisensor Data Fusion and Machine Learning for Environmental Remote Sensing

of this book is to present a suite of relevant concepts, tools, and methods of integrated multisensor data fusion and machine learning;

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Multisensor Data Fusion and Machine Learning for Environmental Remote Sensing

book is to present a suite of relevant concepts, tools, and methods of integrated multisensor data fusion and machine learning technologies to;

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Current Trends in International Fusion Research

Contains papers from the November 1994 symposium, reflecting both classical and novel concepts. Topics include self-colliding beams as an;

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

robotics scientists, data and information fusion scientists, researchers and professionals at universities, research institutes and laboratories.;

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Data Fusion Methodology and Applications

Data Fusion Methodology and Applications explores the data-driven discovery paradigm in science and the need to handle large amounts;

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Multi-resolution Image Fusion in Remote Sensing

Written in an easy-to-follow approach, the text will help the readers to understand the techniques and applications of image fusion for;

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Statistical Data Fusion

'The book provides a comprehensive review of the DRM approach to data fusion. It is well written and easy to follow, although the technical;

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The Science of the Cold Fusion Phenomenon

Broken up in to three sections, this book gives a unified explanation of all the significant data on the Cold Fusion Phenomena to date. It;

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Data Fusion for WSN Using Probabilistic Method and Particle Filter

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Minimalist Analysis

new ideas and their motivation, presents interesting new data with a fresh look at some old data, and places current ideas in their historical;

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