A deep learning approach to fingerprinting indoor localization solutions-Reference-Cited by-同舟云学术

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A deep learning approach to fingerprinting indoor localization solutions

Published:2017-11 Issue: Volume: Page:
ISSN:
Container-title:2017 27th International Telecommunication Networks and Applications Conference (ITNAC)
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Author:

Xiao Linchen,Behboodi Arash,Mathar Rudolf

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8169969/8215343/08215428.pdf?arnumber=8215428

Cited by 28 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Machine Learning-Based Area Estimation Using Data Measured Under Walking Conditions;IEICE Communications Express;2024-06

2. Counteracting Packet Loss in Fingerprint-Based Indoor Positioning via Spatially Regularized Entropy and Ground-Truth Prior Variational Inference;IEEE Sensors Journal;2024-05-01

3. Mixture Density Networks for Multipath Assisted Positioning-Based Fingerprinting;2024 18th European Conference on Antennas and Propagation (EuCAP);2024-03-17

4. Multi-Dimensional Wi-Fi Received Signal Strength Indicator Data Augmentation Based on Multi-Output Gaussian Process for Large-Scale Indoor Localization;Sensors;2024-02-05

5. A Comparative Performance Evaluation of Machine Learning Algorithms for Fingerprint Based Localization;2023 16th International Conference on Advanced Technologies, Systems and Services in Telecommunications (TELSIKS);2023-10-25

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