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Indoor Localization

Indoor localization is a fundamental problem in indoor location-based applications.

Papers

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Showing 141–150 of 250 papers

TitleStatusHype
Outlier Detection in Indoor Localization and Internet of Things (IoT) using Machine Learning—0
Outlier-Robust Filtering For Nonlinear Systems With Selective Observations Rejection—0
OWP-IMU: An RSS-based Optical Wireless and IMU Indoor Positioning Dataset—0
Passive Indoor Localization with WiFi Fingerprints—0
Peer-to-Peer Localization for Single-Antenna Devices—0
Personalized Federated Learning over non-IID Data for Indoor Localization—0
Power-Efficient Indoor Localization Using Adaptive Channel-aware Ultra-wideband DL-TDOA—0
Privacy-Preserving by Design: Indoor Positioning System Using Wi-Fi Passive TDOA—0
Privacy-Preserving Multi-Stage Fall Detection Framework with Semi-supervised Federated Learning and Robotic Vision Confirmation—0
QuickLoc: Adaptive Deep-Learning for Fast Indoor Localization with Mobile Devices—0
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