MFA-OSELM algorithm for WiFi-based indoor positioning system

• المؤلفون الرئيسيون: Al-Khaleefa, Ahmed Salih, Mohd Riduan, Ahmad, Azmi Awang, Md Isa, Al-Saffar, Ahmed Ali Mohammed, Mona Riza, Mohd Esa, Reza Firsandaya, Malik
• التنسيق: مقال
• اللغة: English
• منشور في: MDPI AG 2019
• الموضوعات: HV Social pathology. Social and public welfare; TA Engineering (General). Civil engineering (General); TK Electrical engineering. Electronics Nuclear engineering
• الوصول للمادة أونلاين: 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...