Exploiting 2-D Representations for Enhanced Indoor Localization: A Transfer Learning Approach-Reference-Cited by-同舟云学术

Exploiting 2-D Representations for Enhanced Indoor Localization: A Transfer Learning Approach

Published:2024-06-15 Issue:12 Volume:24 Page:19745-19755
ISSN:1530-437X
Container-title:IEEE Sensors Journal
language:
Short-container-title:IEEE Sensors J.

Author:

Kerdjidj Oussama¹^ORCID,Himeur Yassine¹^ORCID,Atalla Shadi¹^ORCID,Copiaco Abigail¹^ORCID,Amira Abbes²^ORCID,Fadli Fodil³^ORCID,Sohail Shahab Saquib⁴,Mansoor W.¹^ORCID,Gawanmeh Amjad¹,Miniaoui Sami¹^ORCID

Affiliation:

1. College of Engineering and Information Technology, University of Dubai, Dubai, UAE

2. Department of Computer Science, University of Sharjah, Sharjah, UAE

3. Department of Architecture and Urban Planning, Qatar University, Doha, Qatar

4. School of Computing Science and Engineering, VIT Bhopal University, Kotri Kalan, Madhya Pradesh, India

Funder

University of Dubai

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/7361/10558706/10517907.pdf?arnumber=10517907

Reference65 articles.

1. Radio map generation approaches for an RSSI-based indoor positioning system

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4. COVID-19 & privacy: Enhancing of indoor localization architectures towards effective social distancing;Barsocchi;Array,2021

5. Edge-Based Real-Time Occupancy Detection System through a Non-Intrusive Sensing System

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