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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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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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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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Multisensor Fusion for Computer Vision

This volume contains revised papers based on contributions to the NATO Advanced Research Workshop on Multisensor Fusion for Computer Vision;

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

This book includes selected papers from the 13th IEEE International Conference on Multisensor Integration and Fusion for Intelligent;

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Mathematical Techniques in Multi-sensor Data Fusion

This invaluable reference offers the most comprehensive introduction available to the concepts of multisensor data fusion. It introduces;

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Decentralized Estimation and Control for Multisensor Systems

for Multisensor Systems aims to remove current limitations in decentralized data fusion algorithms and to extend the decentralized principle;

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Multisensor Attitude Estimation

association, correlation, estimation, and combination of data and information from several sources. Data fusion for attitude estimation is motivated;

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The Handbook of Multimodal-Multisensor Interfaces, Volume 3

The Handbook of Multimodal-Multisensor Interfaces provides the first authoritative resource on what has become the dominant paradigm for;

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The Handbook of Multimodal-Multisensor Interfaces, Volume 3

The Handbook of Multimodal-Multisensor Interfaces provides the first authoritative resource on what has become the dominant paradigm for;

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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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Data Fusion Mathematics

in the multisensor data fusion area.;

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Data Fusion Mathematics

in the multisensor data fusion area.;

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Remote Sensing Image Fusion

and applications. It describes data selection, application requirements and the choice of a suitable image fusion technique. It comprises a;

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The Handbook of Multimodal-Multisensor Interfaces, Volume 1

The Handbook of Multimodal-Multisensor Interfaces provides the first authoritative resource on what has become the dominant paradigm for;

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Sensors, Nanoscience, Biomedical Engineering, and Instruments

the latest developments, the broadest scope of coverage, and new material on multisensor data fusion and MEMS and NEMS.;

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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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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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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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Imaging and Sensing for Unmanned Aircraft Systems: Deployment and Applications

Detection and Avoidance Systems, Navigation and Intelligence, Modeling and Simulation, Multisensor Data Fusion, Vision in Micro-Aerial Vehicles;

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Fusion of Security System Data to Improve Airport Security

the NRC for a study of emerging screening technologies. This book - the fourth of four - focuses on data fusion as a means to significantly;

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Multi-Sensor Data Fusion With MATLAB

Using MATLAB (R) examples wherever possible, Multi-Sensor Data Fusion with MATLAB explores the three levels of multi-sensor data fusion;

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Principal Component Analysis Handbook

technique in data analysis and includes information on the uses of PCA in distinct fields like multi-sensor data fusion, ecology, energy;

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