MFA-OSELM algorithm for WiFi-based indoor positioning system

• 主要な著者: Al-Khaleefa, Ahmed Salih, Mohd Riduan, Ahmad, Azmi Awang, Md Isa, Al-Saffar, Ahmed Ali Mohammed, Mona Riza, Mohd Esa, Reza Firsandaya, Malik
• フォーマット: 論文
• 言語: English
• 出版事項: MDPI AG 2019
• 主題: HV Social pathology. Social and public welfare; TA Engineering (General). Civil engineering (General); TK Electrical engineering. Electronics Nuclear engineering
• オンライン･アクセス: 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

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...