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Toplam kayıt 11, listelenen: 1-10
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 ...
A Multi-Criteria Decision Strategy to Select a Machine Learning Method for Indoor Positioning System
(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 ...
A novel multi-sensor and multi-Topological database for indoor positioning on fingerprint techniques
(Institute of Electrical and Electronics Engineers Inc., 2015)
In fingerprinting-based indoor positioning systems, Received Signal Strength (RSS) values are collected at predetermined reference points to construct a fingerprint map. A well-established fingerprint database plays an ...
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 survey on RF mapping for indoor positioning [Iç Ortam Konumlama Için RF Haritalama Üzerine Bir Derleme]
(Institute of Electrical and Electronics Engineers Inc., 2015)
In RF based indoor positioning systems, RF map is constructed by collecting Received Signal Strength (RSS) values from access points at predetermined reference points in the working area. RF map is calibrated in order to ...
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. ...
A Novel Multi-Sensor and Multi-Topological Database for Indoor Positioning on Fingerprint Techniques
(IEEE, 2015)
In fingerprinting-based indoor positioning systems, Received Signal Strength (RSS) values are collected at predetermined reference points to construct a fingerprint map. A well-established fingerprint database plays an ...