Intelligent Sensor Networks
Proposal review
The Integration of Sensor Networks, Signal Processing and Machine Learning
dc.contributor.editor | Hu, Fei | |
dc.contributor.editor | Hao, Qi | |
dc.date.accessioned | 2020-09-21T13:35:53Z | |
dc.date.available | 2020-09-21T13:35:53Z | |
dc.date.issued | 2013 | |
dc.identifier | ONIX_20200921_9781439892824_32 | |
dc.identifier | OCN: 1228513619 | |
dc.identifier.uri | https://library.oapen.org/handle/20.500.12657/41672 | |
dc.description.abstract | In the last decade, wireless or wired sensor networks have attracted much attention. However, most designs target general sensor network issues including protocol stack (routing, MAC, etc.) and security issues. This book focuses on the close integration of sensing, networking, and smart signal processing via machine learning. Based on their world-class research, the authors present the fundamentals of intelligent sensor networks. They cover sensing and sampling, distributed signal processing, and intelligent signal learning. In addition, they present cutting-edge research results from leading experts. | |
dc.language | English | |
dc.subject.classification | thema EDItEUR::U Computing and Information Technology::UB Information technology: general topics | en_US |
dc.subject.classification | thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TH Energy technology and engineering::THR Electrical engineering | en_US |
dc.subject.classification | thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TJ Electronics and communications engineering::TJK Communications engineering / telecommunications::TJKT Telephone technology::TJKT1 Mobile phone technology | en_US |
dc.subject.classification | thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TJ Electronics and communications engineering | en_US |
dc.subject.other | Digital and Wireless Communication | |
dc.subject.other | Digital Signal Processing | |
dc.subject.other | Instrumentation, Measurement and Testing | |
dc.subject.other | ENG | |
dc.subject.other | ElectricalEngineering | |
dc.subject.other | SCI-TECH | |
dc.subject.other | STM | |
dc.subject.other | bayesian | |
dc.subject.other | cluster | |
dc.subject.other | compressive | |
dc.subject.other | head | |
dc.subject.other | node | |
dc.subject.other | protocol | |
dc.subject.other | routing | |
dc.subject.other | sensing | |
dc.subject.other | sink | |
dc.subject.other | wireless | |
dc.title | Intelligent Sensor Networks | |
dc.title.alternative | The Integration of Sensor Networks, Signal Processing and Machine Learning | |
dc.type | book | |
oapen.identifier.doi | 10.1201/b14300 | |
oapen.relation.isPublishedBy | 7b3c7b10-5b1e-40b3-860e-c6dd5197f0bb | |
oapen.imprint | CRC Press | |
oapen.pages | 674 | |
peerreview.anonymity | Single-anonymised | |
peerreview.id | bc80075c-96cc-4740-a9f3-a234bc2598f1 | |
peerreview.open.review | No | |
peerreview.publish.responsibility | Publisher | |
peerreview.review.stage | Pre-publication | |
peerreview.review.type | Proposal | |
peerreview.reviewer.type | Internal editor | |
peerreview.reviewer.type | External peer reviewer | |
peerreview.title | Proposal review | |
oapen.review.comments | Taylor & Francis open access titles are reviewed as a minimum at proposal stage by at least two external peer reviewers and an internal editor (additional reviews may be sought and additional content reviewed as required). |