Modelling monthly rainfall of India through transformer-based deep learning architecture
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Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s40808-023-01944-7.pdf
Reference57 articles.
1. Ahmad F, Samui P, Mishra SS (2023) Probabilistic slope stability analysis using subset simulation enhanced by ensemble machine learning techniques. Model Earth Syst Environ. https://doi.org/10.1007/s40808-023-01882-4
2. Ahmed S, Nielsen IE, Tripathi A et al (2023) Transformers in time-series analysis: a tutorial. Circuits Syst Signal Process 42:7433–7466. https://doi.org/10.1007/s00034-023-02454-8
3. Alqahtani F, Abotaleb M, Subhi AA et al (2023) A hybrid deep learning model for rainfall in the wetlands of southern Iraq. Model Earth Syst Environ 9:4295–4312. https://doi.org/10.1007/s40808-023-01754-x
4. Anderson OD, Granger CWJ, Andersen AP (1979) An introduction to bilinear time series models. J R Stat Soc Ser C Appl Stat 28:305–306. https://doi.org/10.2307/2347208
5. Bai T, Tahmasebi P (2022) Characterization of groundwater contamination: a transformer-based deep learning model. Adv Water Resour 164:104217. https://doi.org/10.1016/j.advwatres.2022.104217
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