Random Forest-based Fingerprinting Technique for Device-free Indoor Localization System
The device-free indoor localization (DFIL) research is gaining attention due to the popularity of location-based service (LBS)-based advertisement. In DFIL, a user or an object does not need to bring any device to be localized. In this paper, we propose the Wi-Fi-based DFIL and the random forest alg...
| Published in: | Indonesian Journal of Computing, Engineering and Design |
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| Main Authors: | , , , |
| Format: | Article |
| Language: | English |
| Published: |
Faculty of Engineering and Technology, Sampoerna University
2021-09-01
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| Online Access: | https://ojs.sampoernauniversity.ac.id/index.php/IJOCED/article/view/172 |