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Cognitive Fusion for Target Tracking

fusion to the sequential estimation problem of target tracking using foveal and radar sensors.;

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Tracking and Sensor Data Fusion

Sensor Data Fusion is the process of combining incomplete and imperfect pieces of mutually complementary sensor information in such a way;

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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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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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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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Novel Radar Techniques and Applications

cognitive radar management. Target tracking and data fusion, including posterior Cramer-Rao bounds for target tracking; tracking and fusion in log;

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Mission Oriented Sensor Networks and Systems Art and Science

, sensor deployment, mobile coverage, mission assignment, detection, localization, tracking, data dissemination, data fusion, topology control;

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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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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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Video Surveillance For Sensor Platforms

This book introduces resource aware image decomposition, registration, fusion, object detection and tracking algorithms along with their;

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Knowledge Discovery from Sensor Data

explores the fusion between heterogeneous data streams from multiple sensor types and applications in science, engineering, and security.;

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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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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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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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Networked Filtering and Fusion in Wireless Sensor Networks

By exploiting the synergies among available data, information fusion can reduce data traffic, filter noisy measurements, and make;

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Networked Filtering and Fusion in Wireless Sensor Networks

By exploiting the synergies among available data, information fusion can reduce data traffic, filter noisy measurements, and make;

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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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Physiological Computing Systems

, machine learning applied to diabetes and hypertension, tangible biofeedback technologies, multimodal sensor data fusion, and deep learning for;

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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 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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Wireless Sensor Networks

; * indoor location tracking; * integrating with radio-frequency identification; and * Internet of things Wireless Sensor;

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Sensor Networks

, wireless communication protocols, sensor networks software and architectures, wireless information networks, data manipulation, signal processing;

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Kinematic Tracking of Multiple Targets

Multiple targets tracking is one of the challenging applications in a wireless sensor network due to targets' movement in different;

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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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Smart Dust

: applications; architecture; protocols; tracking technologies; data gathering and processing; energy management; security, reliability, and fault;

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