Repository Article

·2022 OPEN ACCESS

Repository Copy of: Bluetooth Low Energy-based Indoor Localization using Artificial Intelligence

Moses Yirimeah Ndebugre YTU , Tülay Yıldırım YTU

Open MIND

Abstract

This record is a repository-preserved copy of an article originally published in The European Journal of Research and Development by Orclever Science & Research Group. It is archived here on Zenodo for long-term preservation and discoverability; it is not the version of record, and Zenodo is not the publisher of this work. Version of Record (primary publication): https://doi.org/10.56038/ejrnd.v2i3.102 Publisher: Orclever Science & Research Group. Journal: The European Journal of Research and Development. For citation, please use the Crossref DOI and the journal citation above — not the Zenodo DOI.

Keywords

Bluetooth Citation Term (time) Subject (documents) Computer science World Wide Web Artificial intelligence Data science

Subject Areas

Indoor and Outdoor Localization Technologies ·Electrical and Electronic Engineering ·Physical Sciences
Bluetooth and Wireless Communication Technologies ·Computer Networks and Communications ·Physical Sciences
Wireless Sensor Networks for Data Analysis ·Computer Networks and Communications ·Physical Sciences