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Minimum Description Feature Selection for Complexity Reduction in
  Machine Learning-based Wireless Positioning

Minimum Description Feature Selection for Complexity Reduction in Machine Learning-based Wireless Positioning

21 April 2024
M. Oh
Anindya Bijoy Das
Taejoon Kim
David J. Love
Christopher G. Brinton
ArXivPDFHTML

Papers citing "Minimum Description Feature Selection for Complexity Reduction in Machine Learning-based Wireless Positioning"

3 / 3 papers shown
Title
AI-driven Wireless Positioning: Fundamentals, Standards, State-of-the-art, and Challenges
Guangjin Pan
Yuan Gao
Yilin Gao
Zhiyong Zhong
Xiaoyu Yang
Xinyu Guo
Shugong Xu
45
1
0
28 Jan 2025
Deep Learning Methods for Fingerprint-Based Indoor Positioning: A Review
Deep Learning Methods for Fingerprint-Based Indoor Positioning: A Review
Fahad Al-homayani
Mohammad H. Mahoor
30
64
0
30 May 2022
Dead on Arrival: An Empirical Study of The Bluetooth 5.1 Positioning
  System
Dead on Arrival: An Empirical Study of The Bluetooth 5.1 Positioning System
Marco Cominelli
P. Patras
Francesco Gringoli
24
70
0
02 Sep 2019
1