DarLoc: Deep learning and data-feature augmentation based robust magnetic indoor localization-Reference-Cited by-同舟云学术

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DarLoc: Deep learning and data-feature augmentation based robust magnetic indoor localization

Published:2024-06 Issue: Volume:244 Page:122921
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Wang Qinghu^ORCID,Jia Jie^ORCID,Deng Yansha^ORCID,Chen Jian^ORCID,Wang Xingwei^ORCID,Huang Min^ORCID,Aghvami Abdol Hamid^ORCID

Funder

NSFC

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference38 articles.

1. Improved CNN-based magnetic indoor positioning system using attention mechanism;Abid,2021

2. Improved indoor geomagnetic field fingerprinting for smartwatch localization using deep learning;Al-homayani,2018

3. Magnetic mapping for robot navigation in indoor environments;Almeida,2021

4. Crowdsourcing-based magnetic map generation for indoor localization;Ayanoglu,2018

5. Large-scale indoor positioning using geomagnetic field with deep neural networks;Bae,2019

Cited by 2 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. Multiscale Transformer and Attention Mechanism for Magnetic Spatiotemporal Sequence Localization;IEEE Internet of Things Journal;2024-06-01

2. An Edge-Based WiFi Fingerprinting Indoor Localization Using Convolutional Neural Network and Convolutional Auto-Encoder;IEEE Access;2024

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