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Data Fusion Mathematics

Fills the Existing Gap of Mathematics for Data Fusion Data fusion (DF) combines large amounts of information from a variety of sources;

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Data Fusion Mathematics

Fills the Existing Gap of Mathematics for Data Fusion Data fusion (DF) combines large amounts of information from a variety of sources;

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Inertial Confinement Fusion Driven Thermonuclear Energy

This book takes a holistic approach to plasma physics and controlled fusion via Inertial Confinement Fusion (ICF) techniques, establishing;

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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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Teaching Interdisciplinary Mathematics

Teaching Interdisciplinary Mathematics explores the fusion of different subject disciplines with mathematics and the impact on education;

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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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NDT Data Fusion

Data fusion is a rapidly developing technology which involves the combination of information supplied by several NDT (Non-Destructive;

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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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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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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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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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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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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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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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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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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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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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Nonlinear Integrals And Their Applications In Data Mining

nonlinear integrals are investigated. These integrals can be applied as aggregation tools in information fusion and data mining, such as synthetic;

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Data Fusion for WSN Using Probabilistic Method and Particle Filter

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Discovery And Fusion Of Uncertain Knowledge In Data

discovery, inference and data fusion in uncertain environment.;

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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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Trans(in)fusion

Trans(in)fusion is a highly original book that tries to radicalize our ways of 'critical thinking' across disciplines. The book;

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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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Foundations of Large-Scale Multimedia Information Management and Retrieval

semantic analysis of multimedia data and scalability in signal extraction, data mining, and indexing. The book is divided into two parts: Part I;

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