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An ensemble approach to deep‐learning‐based wireless indoor localization
Abstract The authors investigate the use of deep learning in wireless indoor localization to address the shortcomings of the existing range‐based (e.g. trilateration and triangulation) and range‐free (e.g. fingerprinting) localization. Instead of relying on geometric models and hand‐picked features,...
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| Main Authors: | , , , , , , , |
|---|---|
| 格式: | Artigo |
| 語言: | Inglês |
| 出版: |
Wiley
2022-04-01
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| 叢編: | IET Wireless Sensor Systems |
| 主題: | |
| 在線閱讀: | https://doi.org/10.1049/wss2.12035 |
| 標簽: |
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