首页|Researchers from Nanjing University of Posts and Telecommunications Report New S tudies and Findings in the Area of Machine Learning (Smartphone-based Indoor Loc alization Using Machine Learning and Multisource Information Fusion)
Researchers from Nanjing University of Posts and Telecommunications Report New S tudies and Findings in the Area of Machine Learning (Smartphone-based Indoor Loc alization Using Machine Learning and Multisource Information Fusion)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Data detailed on Machine Learning have been presented. According to news reportingfrom Nanjing, People’s Republic of China, by NewsRx journalists, research stated, “A two-phase smartphonelocalizat ion technique that uses received signal strength indicator (RSSI) fingerprints o f long termevolution (LTE) signal, Bluetooth signal, Wi-Fi signal and the inter nal camera sensor is proposed forindoor environments. It contains the following . 1) coarse localization: region determination by LTE andBluetooth signal and ( 2) refined localization: position estimation by camera image and Wi-Fi signal.”
NanjingPeople’s Republic of ChinaAsi aCyborgsEmerging TechnologiesMachine LearningNanjing University of Posts and Telecommunications
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