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1905.01000
Cited By

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

IEEE Antennas and Wireless Propagation Letters (IEEE AWPL), 2019

3 May 2019

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

5 / 5 papers shown

A Meta-learning based Generalizable Indoor Localization Model using
Channel State Information

A Meta-learning based Generalizable Indoor Localization Model using Channel State InformationGlobal Communications Conference (GLOBECOM), 2023

Jonathan D. Ashdown

127

13

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 ApproachInternational Workshop on Signal Processing Advances in Wireless Communications (SPAWC), 2021

51

14

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 LocalizationIEEE Wireless Communications and Networking Conference (WCNC), 2021

76

20

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

Abdullah A. Alghafis

179

50

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

415

2

0

01 Oct 2020

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