Exploring Use of Machine Learning Regressors for Daily Rainfall Prediction in the Sahel Region: A Case Study of Matam, Senegal

Publication Type

Book Chapter

Name of Author

Chimango Nyasulu, University of Gaston Berger (UGB), SenegalFollow

Publication Date (Issue Year)

2023

Journal Name

Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST, 459 LNICST. In Pan-African Artificial Intelligence and Smart Systems: Second EAI International Conference, PAAISS 2022, Dakar, Senegal, November 2-4, 2022. Cham: Springer Nature Switzerland.

Abstract

Abstract

Keywords

Keywords

Rsif Scholar Name

Chimango Nyasulu

Rsif Scholar Nationality

Malawi

Cohort

Cohort 2

Thematic Area

ICTs Including Big Data and Artificial Intelligence

Africa Host University (AHU)

University of Gaston Berger (UGB), Senegal

Recommended Citation

Nyasulu, C. (2023). Exploring Use of Machine Learning Regressors for Daily Rainfall Prediction in the Sahel Region: A Case Study of Matam, Senegal. Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST, 459 LNICST. In Pan-African Artificial Intelligence and Smart Systems: Second EAI International Conference, PAAISS 2022, Dakar, Senegal, November 2-4, 2022. Cham: Springer Nature Switzerland., 78-92. https://doi.org/10.1007/978-3-031-25271-6_5