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

3 May 2019

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 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 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 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 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 IV WilliamH.Clark Steven C. Hauser William C. Headley Alan J. Michaels 42 2 0 01 Oct 2020