Oriented transformer for infectious disease case prediction-Reference-Cited by-同舟云学术

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Oriented transformer for infectious disease case prediction

Published:2023-11-09 Issue:24 Volume:53 Page:30097-30112
ISSN:0924-669X
Container-title:Applied Intelligence
language:en
Short-container-title:Appl Intell

Author:

Wang Zhijin,Zhang Pesiong,Huang Yaohui,Chao Guoqing,Xie Xijiong,Fu Yonggang

Funder

Natural Science Foundation of Fujian Province

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence

Link

https://link.springer.com/content/pdf/10.1007/s10489-023-05101-6.pdf

Reference50 articles.

1. Abbaszadeh Shahri A, Asheghi R, Khorsand Zak M (2021) A hybridized intelligence model to improve the predictability level of strength index parameters of rocks. Neural Comput Appl 33:3841–3854. https://doi.org/10.1007/s00521-020-05223-9

2. Abbaszadeh Shahri A, Shan C, Zäll E, Larsson S (2021) Spatial distribution modeling of subsurface bedrock using a developed automated intelligence deep learning procedure: A case study in sweden. J Rock Mech Geotechnical Eng 13(6):1300–1310. https://doi.org/10.1016/j.jrmge.2021.07.006

3. Abbaszadeh Shahri A, Shan C, Larsson S (2022) A novel approach to uncertainty quantification in groundwater table modeling by automated predictive deep learning. Nat Resour Res 31(3):1351–1373. https://doi.org/10.1007/s11053-022-10051-w

4. Alamo T, Reina DG, Gata PM, Preciado VM, Giordano G (2021) Data-driven methods for present and future pandemics: Monitoring, modelling and managing. Annu Rev Control 52:448–464. https://doi.org/10.1016/j.arcontrol.2021.05.003

5. Asheghi R, Hosseini SA, Saneie M, Shahri AA (2020) Updating the neural network sediment load models using different sensitivity analysis methods: a regional application. J Hydroinf 22(3):562–577. https://doi.org/10.2166/hydro.2020.098

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