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Books > Professional & Technical > Energy technology & engineering > Electrical engineering
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Intelligent Sensor Networks - The Integration of Sensor Networks, Signal Processing and Machine Learning (Paperback)
Loot Price: R1,837
Discovery Miles 18 370
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Intelligent Sensor Networks - The Integration of Sensor Networks, Signal Processing and Machine Learning (Paperback)
Expected to ship within 10 - 15 working days
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Although governments worldwide have invested significantly in
intelligent sensor network research and applications, few books
cover intelligent sensor networks from a machine learning and
signal processing perspective. Filling this void, Intelligent
Sensor Networks: The Integration of Sensor Networks, Signal
Processing and Machine Learning focuses on the close integration of
sensing, networking, and smart signal processing via machine
learning. Based on the world-class research of award-winning
authors, the book provides a firm grounding in the fundamentals of
intelligent sensor networks, including compressive sensing and
sampling, distributed signal processing, and intelligent signal
learning. Presenting recent research results of world-renowned
sensing experts, the book is organized into three parts: Machine
Learning-describes the application of machine learning and other AI
principles in sensor network intelligence-covering smart
sensor/transducer architecture and data representation for
intelligent sensors Signal Processing-considers the optimization of
sensor network performance based on digital signal processing
techniques-including cross-layer integration of routing and
application-specific signal processing as well as on-board image
processing in wireless multimedia sensor networks for intelligent
transportation systems Networking-focuses on network protocol
design in order to achieve an intelligent sensor
networking-covering energy-efficient opportunistic routing
protocols for sensor networking and multi-agent-driven wireless
sensor cooperation Maintaining a focus on "intelligent" designs,
the book details signal processing principles in sensor networks.
It elaborates on critical platforms for intelligent sensor networks
and illustrates key applications-including target tracking, object
identification, and structural health monitoring. It also includes
a paradigm for validating the extent of spatiotemporal associations
among data sources to enhance data cleaning in sensor networks, a
sensor stream reduction application, and also considers the use of
Kalman filters for attack detection in a water system sensor
network that consists of water level sensors and velocity sensors.
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