Location-enabled IoT (LE-IoT): Indoor Localization for IoT Environments using Machine Learning-Reference-Cited by-同舟云学术

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Location-enabled IoT (LE-IoT): Indoor Localization for IoT Environments using Machine Learning

Published:2024-04-29 Issue: Volume: Page:392-399
ISSN:
Container-title:2024 20th International Conference on Distributed Computing in Smart Systems and the Internet of Things (DCOSS-IoT)
language:
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Author:

Ahmad Tanveer¹,Li Xue Jun²,Ashfaq Muhammad³,Savva Michalis⁴,Ioannou Iacovos⁴,Vassiliou Vasos⁴

Affiliation:

1. University of Cyprus,Department of Computer Science,Nicosia,Cyprus

2. Auckland University of Technology,Dep of Electrical and Electronic Engineering,Auckland,New Zealand

3. University of Engineering & Technology,Department of Electronics Engineering,Taxila,Pakistan

4. University of Cyprus & CYENS Centre of Excellence,Department of Computer Science,Nicosia,Cyprus

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10621442/10621052/10621511.pdf?arnumber=10621511

Reference20 articles.

1. Spaceflight: The Development of Science, Surveillance, and Commerce in Space

2. Fuzzy-Logic Based IDS for Detecting Jamming Attacks in Wireless Mesh IoT Networks

3. Performance evaluation of a Fuzzy Logic-based IDS (FLIDS) technique for the Detection of Different Types of Jamming Attacks in IoT Networks

4. Parametric Loop Division for 3D Localization in Wireless Sensor Networks

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