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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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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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Guidelines for Slope Performance Monitoring

industry practice in monitoring system design, implementation, system management, data management and reporting, and provides guidance for;

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Event Mining

Event mining encompasses techniques for automatically and efficiently extracting valuable knowledge from historical event/log data. The;

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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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Advanced Data Acquisition and Intelligent Data Processing

sensitive to the aroma of truffles; 5. DAQ System for Ultrasonic Transducer Evaluation under Spread Spectrum Excitation; 6. Optimal Data Fusion;

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Intelligent Data Mining and Fusion Systems in Agriculture

Intelligent Data Mining and Fusion Systems in Agriculture presents methods of computational intelligence and data fusion that have;

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Remote Powering and Data Communication for Implanted Biomedical Systems

authors demonstrate a system which is capable of efficient, remote powering and reliable data communication. Novel architecture and design;

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Remote Powering and Data Communication for Implanted Biomedical Systems

authors demonstrate a system which is capable of efficient, remote powering and reliable data communication. Novel architecture and design;

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Data Fusion Mathematics

be used for evaluation of the performances of any designed and developed DF systems. It tries to answer whether unified data fusion;

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Data Fusion Mathematics

be used for evaluation of the performances of any designed and developed DF systems. It tries to answer whether unified data fusion;

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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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Machine Learning and Data Mining in Aerospace Technology

This book explores the main concepts, algorithms, and techniques of Machine Learning and data mining for aerospace technology. Satellites;

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Mobile Data Mining and Applications

, from a mobile data mining platform for collecting mobile data, to mobile data processing, and mobile feature discovery. Usage of mobile data;

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Smart Sensors Measurements and Instrumentation

industrial automation and control. The topics covered include image and signal processing, robotics, renewable energy, power systems and power drives;

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Wireless Power Transfer and Data Communication for Intracranial Neural Recording Applications

, the authors demonstrate a system which is capable of efficient remote powering and reliable data communication. Novel architecture and design;

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Wireless Power Transfer and Data Communication for Intracranial Neural Recording Applications

, the authors demonstrate a system which is capable of efficient remote powering and reliable data communication. Novel architecture and design;

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Discovery And Fusion Of Uncertain Knowledge In Data

Data analysis is of upmost importance in the mining of big data, where knowledge discovery and inference are the basis for intelligent;

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Intelligent and Cloud Computing

and monitoring for cloud management, machine learning, data mining for cloud computing, data-driven methodology and architecture, and;

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Intelligent and Cloud Computing

and monitoring for cloud management, machine learning, data mining for cloud computing, data-driven methodology and architecture, and;

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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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Multisensor Data Fusion

, communication structure, computational resources, fusion level, goals, and optimization of multisensor data fusion system architectures Showcases;

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Multisensor Data Fusion

structure, computational resources, fusion level, goals, and optimization of multisensor data fusion system architectures Showcases applications;

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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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Data Security, Data Mining & Data Management

clustering algorithms in radiobiology and DNA damage quantification; data mining for searching genomic information; data management in the semantic;

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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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