IEEE

Reinforcement and Statistical Learning-Assisted Evolutionary Algorithm for Space-Limited Aircraft Assembly Scheduling Problem

Abstract: This work investigates the space-limited aircraft assembly scheduling problem (SAASP) based on real-world cases. A computational model, minimizing the makespan, is developed to formulate the ...
The Lancet

Detection of young-onset type 2 diabetes using deep learning across primary and secondary care: a nationwide, retrospective cohort study

This study highlights the potential for using deep learning methods on longitudinal health data from both primary and secondary care to develop low-cost predictive tools for screening of young-onset ...
Kaleido Scope

Real-world applications drive students in UAB’s Learning Design and Learning Sciences master’s program

The program, which launched in fall 2025, is the first in Alabama and one of only a few worldwide to focus on the learning sciences. This relatively new, interdisciplinary field aims to create more ...
IEEE

Event-Triggered Multi-Kernel Learning-Based Stochastic MPC With Applications in Building Climate Control

Abstract: For solving the problem of building climate system uncertainty affected by spatio-temporal variables, an event-triggered multi-kernel learning-based stochastic model predictive control ...