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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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Data Fusion: Concepts and Ideas

knowledge of multi-sensor data fusion is assumed, although some familarity with the basic tools of linear algebra, calculus and simple probability;

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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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Multi-Sensor Information Fusion

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Advances in Multi-Sensor Information Fusion

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Multi-Sensor Image Fusion and Its Applications

of sensors in order to obtain a more accurate view of the scene: very much the same as we rely on our five senses. Multi-Sensor Image Fusion and Its;

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Sensor Systems

This book covers sensors and multiple sensor systems, including sensor networks and multi-sensor data fusion. It presents the physics and;

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Networked Filtering and Fusion in Wireless Sensor Networks

predictions and inferences about a monitored entity. Networked Filtering and Fusion in Wireless Sensor Networks introduces the subject of multi-sensor;

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Networked Filtering and Fusion in Wireless Sensor Networks

predictions and inferences about a monitored entity. Networked Filtering and Fusion in Wireless Sensor Networks introduces the subject of multi-sensor;

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Data Fusion Mathematics

-tracking methods, and kinematic DF methods Presents single and multi-sensor tracking and fusion mathematics Considers specific DF architectures;

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Data Fusion Mathematics

-tracking methods, and kinematic DF methods Presents single and multi-sensor tracking and fusion mathematics Considers specific DF architectures;

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Tracking and Sensor Data Fusion

author's views on the subject and emphasizes his own contributions to the development of particular aspects. With some delay, Sensor Data Fusion;

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Multi-sensor System Applications in the Everglades Ecosystem

in wetlands using data collected from airborne and space multispectral/hyperspectral sensors, light detection and ranging (LiDAR), Unmanned Aircraft;

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Multi-sensor System Applications in the Everglades Ecosystem

in wetlands using data collected from airborne and space multispectral/hyperspectral sensors, light detection and ranging (LiDAR), Unmanned Aircraft;

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Smart Homes

The book addresses issues towards the design and development of Wireless Sensor Network based Smart Home and fusion of Real-Time Data for;

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Knowledge Discovery from Sensor Data

challenges and requirements for sensor data based knowledge discovery solutions in high-priority application illustrated with case studies. It;

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

architectures, bio-inspired systems and evolutionary approaches, methods of cognitive sensor fusion, Bayesian approaches, fuzzy systems and neural;

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Technologies for Smart Sensors and Sensor Fusion

authors working at the leading edge of sensor technology, Technologies for Smart Sensors and Sensor Fusion showcases the latest advancements;

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Wide Area Monitoring of Interconnected Power Systems

-sensor data fusion, multi-temporal data assimilation techniques for power system monitoring are proposed and tested in the context of modern wide;

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Remote Sensing Image Fusion

newcomers to obtain a quick start into the practical value and benefits of multi-sensor image fusion. Experts will find this book useful to obtain;

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Multisensor Data Fusion

in the design of multisensor data fusion algorithms, addressing issues related to the nature, location, and computational ability of the sensors;

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Multisensor Data Fusion

of multisensor data fusion algorithms, addressing issues related to the nature, location, and computational ability of the sensors Describes new;

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Multimodal Scene Understanding

>Presents novel deep learning topics on multi-sensor fusion and multi-modal deep learning;

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Cognitive Fusion for Target Tracking

using adaptive configuration of heterogeneous sensing nodes and heterogeneous data fusion. This work also provides an application of cognitive;

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Sensor Fusion for Nanopositioning

will be shown that the simultaneous use of multiple sensors and the specific combination of sensors' data (fusion) enables a higher performance;

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Multisensor Attitude Estimation

aerospace applications. This book intends to provide the reader with both a generic and comprehensive view of contemporary data fusion;

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Sink Mobility Models For Sensor Energy Conservation

with peer mobile sinks. The data can be transferred to the base station through multi-hop sink-to-sink data propagation and the energy loss;

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