Few-shot learning in Wi-Fi-based indoor positioning

Few-shot learning in Wi-Fi-based indoor positioning

This paper explores the use of few-shot learning in Wi-Fi-based indoor positioning, utilizing convolutional neural networks (CNNs) combined with meta-learning techniques to enhance the accuracy and efficiency of positioning systems. The focus is on addressing the challenge of limited labeled data, a...

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Bibliographic Details
Main Authors: Xie, Feng, Lam, Soi Hoi, Xie, Ming, Wang, Cheng
Other Authors: School of Mechanical and Aerospace Engineering
Format: Journal Article
Language:English
Published: 2024
Subjects:
Engineering
Few-shot learning
Indoor positioning
Online Access:https://hdl.handle.net/10356/181449

Internet

https://hdl.handle.net/10356/181449

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