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MFA-OSELM algorithm for WiFi-based indoor positioning system

Indoor localization is a dynamic and exciting research area. WiFi has exhibited a tremendous capability for internal localization since it is extensively used and easily accessible. Facilitating the use of WiFi for this purpose requires fingerprint formation and the implementation of a learning algo...

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Bibliographic Details
Main Authors: Al-Khaleefa, Ahmed Salih, Mohd Riduan, Ahmad, Azmi Awang, Md Isa, Al-Saffar, Ahmed Ali Mohammed, Mona Riza, Mohd Esa, Reza Firsandaya, Malik
Format: Article
Language:English
Published: MDPI AG 2019
Subjects:
HV Social pathology. Social and public welfare
TA Engineering (General). Civil engineering (General)
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://umpir.ump.edu.my/id/eprint/25709/1/MFA-OSELM%20algorithm%20for%20WiFi-based%20indoor%20positioning%20system.pdf
http://umpir.ump.edu.my/id/eprint/25709/
https://doi.org/10.3390/info10040146
https://doi.org/10.3390/info10040146
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http://umpir.ump.edu.my/id/eprint/25709/1/MFA-OSELM%20algorithm%20for%20WiFi-based%20indoor%20positioning%20system.pdf
http://umpir.ump.edu.my/id/eprint/25709/
https://doi.org/10.3390/info10040146
https://doi.org/10.3390/info10040146

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