A Novel Weighted Fusion based Efficient Clustering for Improved Wi-Fi Fingerprint Indoor Positioning-Reference-Cited by-同舟云学术

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A Novel Weighted Fusion based Efficient Clustering for Improved Wi-Fi Fingerprint Indoor Positioning

Published:2022 Issue: Volume: Page:1-1
ISSN:1536-1276
Container-title:IEEE Transactions on Wireless Communications
language:
Short-container-title:IEEE Trans. Wireless Commun.

Author:

Sadhukhan Pampa¹^ORCID,Dahal Keshav²^ORCID,Das Pradip K.³

Affiliation:

1. School of Mobile Computing and Comm, Jadavpur University, India

2. School of Computing, Engineering. & Physical Sciences, AVCN research centre, University of the West of Scotland, UK

3. Dept. of Computer Science and Engineering, Jadavpur University, India

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Applied Mathematics,Electrical and Electronic Engineering,Computer Science Applications

Link

http://xplorestaging.ieee.org/ielx7/7693/4656680/09975204.pdf?arnumber=9975204

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. Inverse distance weight-assisted particle swarm optimized indoor localization;Applied Soft Computing;2024-10

2. Indoor fingerprint localization algorithm based on WKNN and LightGBM-GA;Measurement Science and Technology;2024-09-02

3. AN INTELLIGENT DEPRESSION DETECTION MODEL BASED ON MULTIMODAL FUSION TECHNOLOGY;Journal of Mechanics in Medicine and Biology;2024-08-22

4. Improving Indoor Pedestrian Dead Reckoning for Smartphones under Magnetic Interference Using Deep Learning;Sensors;2023-11-23

5. Demo Abstract: Real-Time 3D Indoor Localization with Multi-Dimensional RSSI on Mobile Robot;Proceedings of the 21st ACM Conference on Embedded Networked Sensor Systems;2023-11-12

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