Performance analysis of machine learning and deep learning classification methods for indoor localization in Internet of things environment

Autor:	Serpil Üstebay, Zeynep Turgut, Muhammed Ali Aydin, Ahmet Sertbas, Gülsüm Zeynep Gürkaş Aydın
Rok vydání:	2019
Předmět:	Computer science Dynamics (music) business.industry Deep learning Classification methods Artificial intelligence Electrical and Electronic Engineering Machine learning computer.software_genre Internet of Things business computer
Zdroj:	Transactions on Emerging Telecommunications Technologies. 30
ISSN:	2161-3915
DOI:	10.1002/ett.3705
Popis:	The ability to detect the mobile user's location with high precision in indoor networks is particularly difficult due to the environmental characteristics and high dynamics of the indoor n...
Databáze:	OpenAIRE
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