Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions ...
Abstract: Predicting rainfall is essential for agriculture, managing water resources, and even in disaster planning. Good rainfall prediction mitigates economic impacts and saves lives. Traditional ...
Abstract: This article presents the design and implementation of a generic model for fault diagnosis in electrical distribution networks, based on the Support Vector Machine (SVM) algorithm. The ...