Sleep Analysis for Fatigue of Crewmembers with Deep Multi-Task Learning-Reference-Cited by-同舟云学术

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Sleep Analysis for Fatigue of Crewmembers with Deep Multi-Task Learning

Published:2022-10-12 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE 4th International Conference on Civil Aviation Safety and Information Technology (ICCASIT)
language:
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Author:

Liu Xingyu¹,Li Yu²,Wang Xuhui¹,Xie Wanqing³,Liu Xiaofeng⁴,Xun Xiangdong¹

Affiliation:

1. China Academy of Civil Aviation Science and Technology,R & D Center,Beijing,China

2. Science and Technology,China Academy of Civil Aviation,Beijing,China

3. Anhui Medical University,School of Biomedical Engineering,Hefei,China

4. Fanhan Tech Inc.,Research and Development Department,Suzhou,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9986511/9986516/09986945.pdf?arnumber=9986945

Reference17 articles.

1. Subtype-aware Unsupervised Domain Adaptation for Medical Diagnosis

2. Line-scan system for continuous hand authentication

3. Multitask Learning: A Knowledge-Based Source of Inductive Bias

4. Subtype-Aware Dynamic Unsupervised Domain Adaptation

5. Tagged-MRI2Audio with Attention Guided Heterogeneous Translator;liu,2022

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