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...

Full description

Saved in:
Bibliographic Details
Main Authors: Xie, Feng, Lam, Soi Hoi, Xie, Ming, Wang, Cheng
Other Authors: School of Mechanical and Aerospace Engineering
Format: Article
Language:English
Published: 2024
Subjects:
Online Access:https://hdl.handle.net/10356/181449
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Nanyang Technological University
Language: English
Be the first to leave a comment!
You must be logged in first