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Indoor Localization

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

Papers

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Showing 221–230 of 250 papers

TitleStatusHype
SENTINEL: Securing Indoor Localization against Adversarial Attacks with Capsule Neural Networks—0
SGP-RI: A Real-Time-Trainable and Decentralized IoT Indoor Localization Model Based on Sparse Gaussian Process with Reduced-Dimensional Inputs—0
Siamese Neural Encoders for Long-Term Indoor Localization with Mobile Devices—0
Simple and Effective Augmentation Methods for CSI Based Indoor Localization—0
Single-anchor UWB Localization using Channel Impulse Response Distributions—0
Smartphone region-wise image indoor localization using deep learning for indoor tourist attraction—0
Static vs. Dynamic Databases for Indoor Localization based on Wi-Fi Fingerprinting: A Discussion from a Data Perspective—0
Statistical learning for sensor localization in wireless networks—0
Structured Group Sparsity: A Novel Indoor WLAN Localization, Outlier Detection, and Radio Map Interpolation Scheme—0
MMWiLoc: A Multi-Sensor Dataset and Robust Device-Free Localization Method Using Commercial Off-The-Shelf Millimeter Wave Wi-Fi DevicesCode0
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