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Indoor Localization for IoT Using Adaptive Feature Selection: A Cascaded
  Machine Learning Approach

Indoor Localization for IoT Using Adaptive Feature Selection: A Cascaded Machine Learning Approach

3 May 2019
M. AlHajri
N. Ali
R. Shubair
ArXiv (abs)PDFHTML

Papers citing "Indoor Localization for IoT Using Adaptive Feature Selection: A Cascaded Machine Learning Approach"

5 / 5 papers shown
Title
A Meta-learning based Generalizable Indoor Localization Model using
  Channel State Information
A Meta-learning based Generalizable Indoor Localization Model using Channel State Information
Ali Owfi
ChunChih Lin
Linke Guo
Fatemeh Afghah
Jonathan D. Ashdown
K. Turck
64
9
0
22 May 2023
Indoor Localization Under Limited Measurements: A Cross-Environment
  Joint Semi-Supervised and Transfer Learning Approach
Indoor Localization Under Limited Measurements: A Cross-Environment Joint Semi-Supervised and Transfer Learning Approach
M. AlHajri
R. Shubair
Marwa Chafii
24
13
0
04 Aug 2021
DataLoc+: A Data Augmentation Technique for Machine Learning in
  Room-Level Indoor Localization
DataLoc+: A Data Augmentation Technique for Machine Learning in Room-Level Indoor Localization
Amr E. Hilal
Ismail Arai
Samy El-Tawab
15
16
0
21 Jan 2021
A Comprehensive Survey of Machine Learning Based Localization with
  Wireless Signals
A Comprehensive Survey of Machine Learning Based Localization with Wireless Signals
Daoud Burghal
Ashwin T. Ravi
Varun Rao
Abdullah A. Alghafis
A. Molisch
53
42
0
21 Dec 2020
Training Data Augmentation for Deep Learning Radio Frequency Systems
Training Data Augmentation for Deep Learning Radio Frequency Systems
IV WilliamH.Clark
Steven C. Hauser
William C. Headley
Alan J. Michaels
42
2
0
01 Oct 2020
1