The paper, titled “Analysis of a Mathematical Model for Malaria Using a Data-Driven Approach”, presents an innovative method for predicting malaria outbreaks by incorporating temperature- and ...

A data-driven framework for highway design uses machine learning to improve decision-making by analyzing terrain, weather, and traffic in real time.

This methodological framework enabled a comprehensive, data-driven comparison of different resilience strategies in a high-disruption environment. By simulating realistic conditions and evaluating ...

This paper presents a data-driven framework for integrating encryption transmission and attack detection in cyber-physical systems (CPS) with nonlinear physical plants. The main focus of this research ...

The deployment of electric vehicles (EVs) in different grid domains, such as microgrids (MGs), has increased considerably. To fully realize the advantages of EV ecosystems and integrate them with the ...