An Enhancement of Indoor Localization using PCA-aided LSTM Approach-Reference-Cited by-同舟云学术

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An Enhancement of Indoor Localization using PCA-aided LSTM Approach

Published:2023-10-19 Issue: Volume: Page:
ISSN:
Container-title:2023 International Conference on Advanced Technologies for Communications (ATC)
language:
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Author:

Duong Thi Hang¹,Trinh Anh Vu²,Hoang Manh Kha³

Affiliation:

1. Hanoi University of Industry/ VNU University of Engineering and Technology (VNU-UET),Faculty of Electronics Engineering,Hanoi,Vietnam

2. VNU University of Engineering and Technology (VNU-UET),Department of Electronics and Telecomunications,Hanoi,Vietnam

3. Hanoi University of Industry,Faculty of Electronics Engineering,Hanoi,Vietnam

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10318513/10318514/10318863.pdf?arnumber=10318863

Reference11 articles.

1. Improved Indoor positioning algorithm using KPCA and ELM

2. Long Short-Term Memory;hochreiter;Neural Computation,1997

3. Towards the Implementation of Recurrent Neural Network Schemes for WiFi Fingerprint-Based Indoor Positioning

4. An Improved Weighted K-Nearest Neighbor Algorithm for Indoor Localization

5. A Wi-Fi Indoor Positioning Method Based on an Integration of EMDT and WKNN

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