Browsing by Author "Keser, Sinem Bozkurt"
Now showing items 1-5 of 5
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An F-Score-Weighted Indoor Positioning Algorithm Integrating WiFi and Magnetic Field Fingerprints
Keser, Sinem Bozkurt; Yazıcı, Ahmet; Günal, Serkan (Hindawi LTD, 2018)Indoor positioning systems have attracted much attention with the recent development of location-based services. Although global positioning system (GPS) is a widely accepted and accurate outdoor localization system, there ... -
A hybrid fingerprint based indoor positioning with extreme learning machine [Aşiri Ögrenme Makinesi ile Hibrid Parmakizi Tabanli iç Ortam Konumlandirma]
Keser, Sinem Bozkurt; Yazıcı, Ahmet; Günal, Serkan (Institute of Electrical and Electronics Engineers Inc., 2017)Though global positioning system is a well-accepted technology for outdoor positioning, it is ineffective for indoor environment. Therefore, the search for effective and cheap solutions still continues. In this work, it ... -
Integration of classification algorithms for indoor positioning system
Yazıcı, A.; Keser, Sinem Bozkurt; Günal, Serkan (Institute of Electrical and Electronics Engineers Inc., 2017)Positioning applications become more popular with the advancement of location aware services. Global Positioning System is a successful solution for outdoors whereas it is not suitable for indoor environments due to the ... -
Integration of Classification Algorithms for Indoor Positioning System
Yazıcı, Ahmet; Keser, Sinem Bozkurt; Günal, Serkan (IEEE, 2017)Positioning applications become more popular with the advancement of location aware services. Global Positioning System is a successful solution for outdoors whereas it is not suitable for indoor environments due to the ... -
A Multi-Criteria Decision Strategy to Select a Machine Learning Method for Indoor Positioning System
Yazıcı, Ahmet; Keser, Sinem Bozkurt; Günal, Serkan; Yayan, Uğur (World Scientific Publ Co Pte LTD, 2018)Indoor positioning system is an active research area. There are various performance metrics such as accuracy, computation time, precision, and f-score in machine learning based indoor positioning systems. The aim of this ...
