Oriented transformer for infectious disease case prediction
Author:
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.
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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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