Comparative Analysis of Machine Learning Algorithms for BLE-Based Indoor Localization System
Indoor positioning systems (IPS) play a vital role in applications such as navigation and asset tracking. This study presents a comprehensive evaluation of machine learning algorithms on a newly introduced Bluetooth Low Energy (BLE) Received Signal Strength Indicator (RSSI) dataset, specifically dev...
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| Автори: | , , , , , |
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| Формат: | Artigo |
| Мова: | Inglês |
| Опубліковано: |
IEEE
2025-01-01
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| Серія: | IEEE Access |
| Предмети: | |
| Онлайн доступ: | https://ieeexplore.ieee.org/document/11162504/ |
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