DSA-BEATS: Dual Self-Attention N-BEATS Model for Forecasting COVID-19 Hospitalization-Reference-Cited by-同舟云学术

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DSA-BEATS: Dual Self-Attention N-BEATS Model for Forecasting COVID-19 Hospitalization

Published:2023 Issue: Volume:11 Page:137352-137365
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Motavali Amirhossein¹^ORCID,Yow Kin-Choong¹^ORCID,Hansmeier Nicole²,Chao Tzu-Chiao³^ORCID

Affiliation:

1. Faculty of Engineering and Applied Sciences, University of Regina, Regina, Canada

2. Department of Biology, Luther College, University of Regina, Regina, Canada

3. Institute of Environmental Change and Society, University of Regina, Regina, Canada

Funder

Health Canada’s COVID-19 Safe Restart Agreement Contribution Program

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10262005.pdf?arnumber=10262005

Reference48 articles.

1. An interactive web-based dashboard to track COVID-19 in real time

2. Bullwhip effect reduction map for COVID-19 vaccine supply chain

3. COVID-19 hospitalizations forecasts using internet search data

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. Optimization of battery charging and discharging strategies in substation DC systems using the dual self-attention network-N-BEATS model;Science Progress;2024-07

2. A systematic literature review of time series methods applied to epidemic prediction;Informatics in Medicine Unlocked;2024

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