Annine Duclaire Kenne
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View article: Machine learning approaches for imputing missing meteorological data in Senegal
Machine learning approaches for imputing missing meteorological data in Senegal Open
This study presents the first comprehensive evaluation in West Africa of four imputation methods, Decision Tree (DT), Random Forest (RF), Extreme Gradient Boosting (XGB), and Ordinary Kriging (OK), applied to six core meteorological variab…
View article: Subseasonal Prediction of Summer Temperature in West Africa Using Artificial Intelligence: A Case Study of Senegal
Subseasonal Prediction of Summer Temperature in West Africa Using Artificial Intelligence: A Case Study of Senegal Open
Despite the rapid growth of machine learning (ML) and its far-reaching applications in various fields such as healthcare, finance, and urban heat management, there are still some unresolved challenges in the field of climate change. Reliab…
View article: A New Multiple Imputation Approach Using Machine Learning to Enhance Climate Databases in Senegal
A New Multiple Imputation Approach Using Machine Learning to Enhance Climate Databases in Senegal Open
This study aims at enhancing climate data in Senegal using information from the Global Surface Summary of the Day (GSOD). It uses data from 1991 to 2022 from major secondary synoptic stations in Senegal. These data are subject to missing v…