Random Forest and Interpolation Techniques for Fingerprint-based Indoor Positioning System in Un-ideal Environment

Author:

Suroso Dwi Joko,Rudianto Alvin S. H.,Arifin Muhammad,Hawibowo Singgih

Publisher

Deanship of Scientific Research

Subject

Management of Technology and Innovation,Artificial Intelligence,Computer Graphics and Computer-Aided Design,Computer Networks and Communications,Human-Computer Interaction,Information Systems

Cited by 7 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. Real-World Indoor Location Assessment with Unmodified RFID Antennas;Lecture Notes in Computer Science;2024

2. Research on indoor positioning method based on LoRa-improved fingerprint localization algorithm;Scientific Reports;2023-08-26

3. Implementation of Wi-Fi-based indoor positioning system: Challenges and future possibilities;THE 5TH INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE IN INFORMATION SYSTEMS (CIIS 2022): Intelligent and Resilient Digital Innovations for Sustainable Living;2023

4. Kalman filter for RSSI-based indoor positioning system with min-max technique;THE 5TH INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE IN INFORMATION SYSTEMS (CIIS 2022): Intelligent and Resilient Digital Innovations for Sustainable Living;2023

5. Intelligent Indoor Positioning Systems: The Case of Imbalanced Data;Intelligent Communication Technologies and Virtual Mobile Networks;2023

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