对“基于wifi的室内定位学习域不变模型”的修正

IF 7.7 2区计算机科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS

IEEE Transactions on Mobile Computing Pub Date : 2025-06-05 DOI:10.1109/TMC.2025.3539443

Guanzhong Wang;Dongheng Zhang;Tianyu Zhang;Shuai Yang;Qibin Sun;Yan Chen

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引用次数: 0

摘要

在上述文章[1]中，在第13900页右栏，有一个空参考引文“[？通过将模型不可知元学习（MAML）应用于指纹定位，MetaLoc [?]使模型能够根据获得的元参数快速适应新环境，从而降低人力成本。”缺失的引用如下所示为[2]。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Corrections to “Learning Domain-Invariant Model for WiFi-Based Indoor Localization”

In the above article [1], on page 13900, right column, there is an empty reference citation “[?]” in the sentence “By applying Model-Agnostic Meta-Learning (MAML) to fingerprint localization, MetaLoc [?] enables the model to quickly adapt to new environments based on the obtained meta-parameters, thus reducing human labor costs.” The missing reference is listed below as [2].

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来源期刊

IEEE Transactions on Mobile Computing 工程技术-电信学

CiteScore

12.90

自引率

2.50%

发文量

403

审稿时长

6.6 months

期刊介绍： IEEE Transactions on Mobile Computing addresses key technical issues related to various aspects of mobile computing. This includes (a) architectures, (b) support services, (c) algorithm/protocol design and analysis, (d) mobile environments, (e) mobile communication systems, (f) applications, and (g) emerging technologies. Topics of interest span a wide range, covering aspects like mobile networks and hosts, mobility management, multimedia, operating system support, power management, online and mobile environments, security, scalability, reliability, and emerging technologies such as wearable computers, body area networks, and wireless sensor networks. The journal serves as a comprehensive platform for advancements in mobile computing research.