An improved hybrid indoor positioning system based on surface tessellation artificial neural network

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An improved hybrid indoor positioning system based on surface tessellation artificial neural network

In indoor environments, accurate location or positioning becomes an essential requirement, driven by the need for autonomous moving devices, or to identify the position of people in large spaces. Single technology schemes which use WiFi and Bluetooth are affected by fading effects as well as by sign...

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Bibliographic Details
Main Authors:	Khan, Imran Ullah, Ali, Tariq, Farid, Zahid, Scavino, Edgar, Abd Rahman, Mohd Amiruddin, Hamdi, Mohammed, Qiao, Gang
Format:	Article
Language:	English
Published:	SAGE Publication 2020
Online Access:	http://psasir.upm.edu.my/id/eprint/87834/ http://psasir.upm.edu.my/id/eprint/87834/1/ABSTRACT.pdf

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