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Predicting coverage in wireless local area networks with obstacles using kriging and neural networks
Abdullah Konak
Division of Engineering, Business & Computing (Berks)
Research output
:
Contribution to journal
›
Article
›
peer-review
5
Scopus citations
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Dive into the research topics of 'Predicting coverage in wireless local area networks with obstacles using kriging and neural networks'. Together they form a unique fingerprint.
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Keyphrases
Kriging
100%
Neural Network
100%
Wireless Local Area Network
100%
Path Loss
66%
Ordinary Kriging
66%
Active Sites
33%
Measure Data
33%
Site Survey
33%
Covariance
33%
Error Level
33%
Distance Measure
33%
Acceptable Error
33%
Network Coverage
33%
Mathematics
Kriging
100%
Neural Network
100%
Local Area
100%
Path Loss
100%
Covariance
33%
Loss Model
33%
Computer Science
Neural Network
100%
wireless local area network
100%
Measurement Data
33%
Distance Measure
33%
Path Loss Model
33%
Engineering
Local Area Network
100%
Path Loss
100%
Measurement Data
33%
Active Site
33%