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Toplam kayıt 8, listelenen: 1-8
Integration of Classification Algorithms for Indoor Positioning System
(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 ...
Classifier Selection for RF Based Indoor Positioning
(IEEE, 2015)
The selection of appropriate classifier is of great importance in improving the positioning accuracy and processing time for indoor positioning. In this work, an extensive analysis is carried out to determine the most ...
A comparative study on machine learning algorithms for indoor positioning
(Institute of Electrical and Electronics Engineers Inc., 2015)
Fingerprinting based positioning is commonly used for indoor positioning. In this method, initially a radio map is created using Received Signal Strength (RSS) values that are measured from predefined reference points. ...
Classifier selection for RF based indoor positioning [RF Temelli Iç Ortam Konumlama için Siniflandirici Seçimi]
(Institute of Electrical and Electronics Engineers Inc., 2015)
The selection of appropriate classifier is of great importance in improving the positioning accuracy and processing time for indoor positioning. In this work, an extensive analysis is carried out to determine the most ...
Integration of classification algorithms for indoor positioning system
(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 ...
A hybrid fingerprint based indoor positioning with extreme learning machine [Aşiri Ögrenme Makinesi ile Hibrid Parmakizi Tabanli iç Ortam Konumlandirma]
(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 ...
A Hybrid Fingerprint Based Indoor Positioning with Extreme Learning Machine
(IEEE, 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 ...
A Comparative Study on Machine Learning Algorithms for Indoor Positioning
(IEEE, 2015)
Fingerprinting based positioning is commonly used for indoor positioning. In this method, initially a radio map is created using Received Signal Strength (RSS) values that are measured from predefined reference points. ...