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...

全面介紹

Saved in:
書目詳細資料
Main Authors: Xie, Feng, Lam, Soi Hoi, Xie, Ming, Wang, Cheng
其他作者: School of Mechanical and Aerospace Engineering
格式: Article
語言:English
出版: 2024
主題:
在線閱讀:https://hdl.handle.net/10356/181449
標簽: 添加標簽
沒有標簽, 成為第一個標記此記錄!