Wi-Fi Navigation Using Machine Learning With Consideration Of Cyclic Dynamic Behaviour
Wi-Fi based localization using machine learning has been proven to be an attractive approach for finding the location prediction with avoidance of accumulation of errors as other sensors such as odometry and inertial sensing. Researchers have developed various models to predict locations based on tr...
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| Format: | Thesis |
| Language: | English English |
| Published: |
2020
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| Subjects: | |
| Online Access: | http://eprints.utem.edu.my/id/eprint/25388/1/Wi-Fi%20Navigation%20Using%20Machine%20Learning%20With%20Consideration%20Of%20Cyclic%20Dynamic%20Behaviour.pdf http://eprints.utem.edu.my/id/eprint/25388/2/Wi-Fi%20Navigation%20Using%20Machine%20Learning%20With%20Consideration%20Of%20Cyclic%20Dynamic%20Behaviour.pdf http://eprints.utem.edu.my/id/eprint/25388/ https://plh.utem.edu.my/cgi-bin/koha/opac-detail.pl?biblionumber=119762 |
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http://eprints.utem.edu.my/id/eprint/25388/1/Wi-Fi%20Navigation%20Using%20Machine%20Learning%20With%20Consideration%20Of%20Cyclic%20Dynamic%20Behaviour.pdfhttp://eprints.utem.edu.my/id/eprint/25388/2/Wi-Fi%20Navigation%20Using%20Machine%20Learning%20With%20Consideration%20Of%20Cyclic%20Dynamic%20Behaviour.pdf
http://eprints.utem.edu.my/id/eprint/25388/
https://plh.utem.edu.my/cgi-bin/koha/opac-detail.pl?biblionumber=119762