Estimating the Effect of TEC Data on Rain with Modelling and Wavelet Transformation Analysis
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-37105-9_5
Reference21 articles.
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2. El-Diasty, M.: Regional ionospheric modeling using wavelet network model. The J. Global Positioning Syst. 15(1), 2 (2017)
3. Gogou, G., Maglaveras, N., Ambrosiadou, B.V., Goulis, D., Pappas, C.: A neural network approach in diabetes management by insulin administration. J. Med. Syst. 25, 119–131 (2001)
4. Inyurt, S., Hasanpour Kashani, M., Sekertekin, A.: Ionospheric TEC forecasting using Gaussian process regression (GPR) and multiple linear regression (MLR) in Turkey. Astrophys. Space Sci. 365, 1–17 (2020)
5. Iyer, S., Mahajan, A.: Predicting the ionospheric total electron content using adaptive regression model. In: 2021 6th International Conference for Convergence in Technology (I2CT), pp. 1–11. IEEE (2021)
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