Subsequently, we introduce a multi-module data-driven framework for network traffic prediction to effectively cater to diverse data types and downstream task requirements. A case study of cellular ...

Since several studies point to the effectiveness of data-driven mechanisms, the novel contribution is a holistic data-driven framework that enhances flash flood preparedness in urban regions. The ...

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

Integrating SERS with cheminformatics enables automated, real-time chemical sensing and data-driven discovery, advancing surface and molecular analysis across scientific fields.