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 ...
SciELO

A Survey of Basic Concepts and Applications of Machine Learning to Chemistry

Theoretical and computational chemistry (TCC) is a set of theories and models that, over the years, were refined to the point that it is possible to determine measurable quantities with precision, ...
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 ...
BMJ

Accuracy of machine learning and traditional statistical models in the prediction of postpartum haemorrhage: a systematic review

Objectives To evaluate whether postpartum haemorrhage (PPH) can be predicted using both machine learning (ML) and traditional statistical models. Design Diagnostic systematic review and meta-analysis ...