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Committee Date Time Place Paper Title / Authors Abstract Paper #
RCS, SR, SRW
(Joint)		 2020-03-05
10:35		 Tokyo Tokyo Institute of Technology
(Cancelled but technical report was issued)		 A Study on Indoor Localization for a Multiuser Environment based on Unified Fingerprint of Wi-Fi and Bluetooth Low Energy using Machine Learning
Shunsuke Tsuchida, Takumi Takahashi (Osaka Univ.), Shinsuke Ibi (Doshisha Univ.), Seiichi Sampei (Osaka Univ.) RCS2019-353		 In recent years, services using geo-location information of smartphones and tablets have been expanding.Although GNSS (G... [more] RCS2019-353
pp.177-182
RCS 2018-06-20
13:30		 Nagasaki Nagasaki University A Study on Indoor Localization based on Unified Fingerprint of Wi-Fi and Bluetooth Low Energy using Machine Learning
Shunsuke Tsuchida, Shinsuke Ibi, Seiivhi Sampei (Osaka Univ.) RCS2018-35		 This paper deals with an indoor localization by fingerprint estimation with the aid of machine learning on the basis of ... [more] RCS2018-35
pp.1-6
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