Uncovering the Potential of Indoor Localization: Role of Deep and Transfer Learning-Reference-Cited by-同舟云学术

Uncovering the Potential of Indoor Localization: Role of Deep and Transfer Learning

Published:2024 Issue: Volume:12 Page:73980-74010
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Kerdjidj Oussama¹^ORCID,Himeur Yassine¹^ORCID,Sohail Shahab Saquib²^ORCID,Amira Abbes³^ORCID,Fadli Fodil⁴^ORCID,Atalla Shadi¹^ORCID,Mansoor W.¹^ORCID,Copiaco Abigail¹^ORCID,Gawanmeh Amjad¹,Miniaoui Sami¹^ORCID,Dawoud Diana W.¹^ORCID

Affiliation:

1. College of Engineering and Information Technology, University of Dubai, Dubai, United Arab Emirates

2. School of Computing Science and Engineering, VIT Bhopal University, Bhopal, India

3. Department of Computer Science, University of Sharjah, Sharjah, United Arab Emirates

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

Funder

University of Dubai under the Internal Research Fund

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6287639/10380310/10534778.pdf?arnumber=10534778

Reference252 articles.

1. A Two-Stage Energy Anomaly Detection for Edge-based Building Internet of Things (BIoT) Applications

2. An innovative edge-based Internet of Energy solution for promoting energy saving in buildings

3. A Survey of Magnetic-Field-Based Indoor Localization

4. A Comprehensive Survey of Indoor Localization Methods Based on Computer Vision

5. A Survey of Machine Learning for Indoor Positioning

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