Machine Learning Models for Identifying Patterns in GNSS Meteorological Data

Author:

Alvarez-Castillo Luis Fernando,Torres-Carrión PabloORCID,Serrano-Agila Richard

Publisher

Springer Nature Switzerland

Reference28 articles.

1. Janiesch, C., Zschech, P., Heinrich, K.: Machine learning and deep learning. https://doi.org/10.1007/s12525-021-00475-2/Published

2. Khan, S.: Advancements in machine learning: from theory to practice (2023)

3. Chkeir, S., Anesiadou, A., Mascitelli, A., Biondi, R.: Nowcasting extreme rain and extreme wind speed with machine learning techniques applied to different input datasets. Atmos. Res. 282 (2023). https://doi.org/10.1016/j.atmosres.2022.106548

4. Kohail, S.N., El-Halees, A.M.: Implementation of data mining techniques for meteorological data analysis. J. Inf. Technol. (2011). http://www.esjournals.org

5. Chauhan, D., Thakur, J.: Data mining techniques for weather prediction: a review. Int. J. Recent Innov. Trends Comput. Commun. (2014). http://www.ijritcc.org

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