MARC Record from marc_oapen

LEADER: 03776namaa2200385uu 450
001 https://library.oapen.org/handle/20.500.12657/41267
005 20200813
020 $ab14300
024 7 $a10.1201/b14300$cdoi
041 0 $aEnglish
042 $adc
072 7 $aUB$2bicssc
072 7 $aTHR$2bicssc
072 7 $aTJKT1$2bicssc
072 7 $aTJ$2bicssc
100 1 $aHu, Fei$4edt
700 1 $aHao, Qi$4edt
700 1 $aHu, Fei$4oth
700 1 $aHao, Qi$4oth
245 10 $aIntelligent Sensor Networks : The Integration of Sensor Networks, Signal Processing and Machine Learning
260 $aBoca Raton$bTaylor & Francis$c2012
506 0 $aOpen Access$2star$fUnrestricted online access
520 $aAlthough 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.
540 $aCreative Commons$fhttps://creativecommons.org/licenses/by-nc-nd/4.0/$2cc$4https://creativecommons.org/licenses/by-nc-nd/4.0/
546 $aEnglish
650 7 $aInformation technology: general issues$2bicssc
650 7 $aElectrical engineering$2bicssc
650 7 $aMobile phone technology$2bicssc
650 7 $aElectronics & communications engineering$2bicssc
653 $aInformation technology: general topics
653 $aElectrical engineering
653 $aMobile phone technology
653 $aSensors
856 40 $awww.oapen.org$uhttps://library.oapen.org/bitstream/id/0af3a2fe-2ee8-4fd4-baae-273b2754557a/9781439892817.pdf$70$zOAPEN Library: download the publication
856 40 $awww.oapen.org$uhttps://library.oapen.org/handle/20.500.12657/41267$70$zOAPEN Library: description of the publication