A Machine Learning project designed to proactively detect fraudulent financial transactions using advanced feature engineering and explainable classification models. Built and optimized on a dataset ...

We introduce a comprehensive framework that models and predicts the full conditional distribution of univariate and multivariate targets as a function of covariates. Choosing from a wide range of ...

Abstract: The marriage of cloud and software defined network (SDN) can work out the challenge which exist in the typical cloud platform such as the private cloud isolation of user, network flow ...

Abstract: Globally, the consistent clamor by environmentalists for the need to mitigate the effects of climate change has necessitated the adoption of renewable energy sources (RES) for use by many ...