Statistical method broadens forecasts by modeling uncertainty beyond average outcomes

When it comes to statistics, we usually expect to be informed about what happens "on average." But sometimes the key ...
IEEE

Predictive Modeling and Explainability for Academic Dropout Risk Detection Using Machine Learning

Abstract: Student dropout is a major challenge for higher education institutions, especially in developing countries where socioeconomic disparities and resource constraints worsen the issue. This ...
IEEE

Advancing Industrial Process Control With Deep Learning-Enhanced Model Predictive Control for Nonlinear Time-Delay Systems

Abstract: In the process industries, nonlinear and large time-delay systems pose significant challenges for efficient model predictive control (MPC). The advent of deep learning offers innovative ...