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220825 ||| eng |
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|a b14300
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| 100 |
1 |
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|a Hu, Fei
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| 245 |
0 |
0 |
|a Intelligent Sensor Networks
|h Elektronische Ressource
|b The Integration of Sensor Networks, Signal Processing and Machine Learning
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| 260 |
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|a Boca Raton
|b Taylor & Francis
|c 2012
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| 653 |
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|a Mobile phone technology
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| 653 |
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|a Information technology: general topics
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| 653 |
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|a Mobile phone technology
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| 653 |
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|a Information technology: general topics
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| 653 |
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|a Electrical engineering
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| 653 |
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|a Electrical engineering
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| 653 |
|
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|a Electronics and communications engineering
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| 653 |
|
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|a Sensors
|
| 700 |
1 |
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|a Hao, Qi
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| 700 |
1 |
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|a Hu, Fei
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| 700 |
1 |
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|a Hao, Qi
|
| 041 |
0 |
7 |
|a eng
|2 ISO 639-2
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| 989 |
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|b OAPEN
|a OAPEN
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| 500 |
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|a Creative Commons (cc), https://creativecommons.org/licenses/by-nc-nd/4.0/
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| 028 |
5 |
0 |
|a 10.1201/b14300
|
| 856 |
4 |
2 |
|u https://library.oapen.org/handle/20.500.12657/41267
|z OAPEN Library: description of the publication
|
| 856 |
4 |
0 |
|u https://library.oapen.org/bitstream/id/0af3a2fe-2ee8-4fd4-baae-273b2754557a/9781439892817.pdf
|x Verlag
|3 Volltext
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| 082 |
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|a 000
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|a 380
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|a 600
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|a 620
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| 520 |
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|a 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.
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| 520 |
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|a 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.
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| 520 |
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|a 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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