Cameroon Climate Predictions Using the SARIMA-LSTM Machine Learning Model: Adjustment of a Climate Model for the Sudano-Sahelian Zone of Cameroon

Bias-Corrected Climate Projections using XSBCK software for Sudano-sahelian region of Cameroon

The dataset was adjusted using the cumulative distribution function transform (CDF-t; Michelangeli e

FOG ATTENUATION MODEL VALIDATION IN THE TROPICAL CLIMATE USING MACHINE LEARNING

ABSTRACT The world is advancing and the communication devices become more powerful and extensively

An Experimental and Case Study on the Evaluation of the Partial Shading Impact on PV Module Performance Operating Under the Sudano-Sahelian Climate of Cameroon

Partial shading is a factor that influences the performance of a PV module. The study sought to eval

Climate Variability Manifestations in the Bakassi Coastal Zone of Cameroon

Climate variability has continued to generate important environmental consequences in coastal enviro

Evaluation of temporal convolutional networks and ensemble machine learning models for meteorological drought prediction in the Nigerian Sudano–Sahelian zone

A nested model study of the Sahelian climate response to sea‐surface temperature anomalies

A nested high resolution atmospheric model is used to investigate the sensitivity of the Sahelian cl