Water vapor is an essential parameter in the troposphere which is involved in several
atmospheric processes including cloud formation, convection and precipitation. The water …

One of the most crucial parts of the practical application in recent years has been the
analysis of time series data for forecasting. Because of the extreme climate variations, it is …

Network intrusion refers to any unauthorized penetration or activity on a computer network.
This upsets the confidentiality, integrity, and availability of the network system. One of the …

Received: 24 Janurary 2022 Accepted: 2 August 2022 Differential Evolution (DE) is a widely
used global searching algorithm that solves realworld optimization problems. It is …

Predicting rainfall is a crucial component of contemporary weather forecasting, with
consequences for agriculture, hydrology, water management, and disaster preparedness …

The goal of this research is to develop a new type of classification method that can be used
to infer the value of any attribute of the dataset it has been trained on (given the values of the …

Aiming at the problem of low accuracy of traditional algorithms for rainfall prediction, this
paper proposes an innovative RR-DP-PSO algorithm model for rainfall prediction. By …

Comparison of machine learning models is carried out in order to determine which models are
best to deploy as a system Page 1 African Journal of Mathematics and Statistics Studies ISSN …

This study aims to develop a comprehensive rainfall forecasting system by employing
advanced regression models such as CatBoost, XGBoost, Random Forest, SVM, Decision …