Fast AI for satellite learns to quantify uncertainty

Accurately tracking atmospheric greenhouse gases requires not only fast predictions but also reliable estimates of uncertainty. Researchers have developed a lightweight machine learning framework that ...
Frontiers

Exploring the association between circadian rhythms and osteoporosis: new diagnostic and therapeutic targets identified via machine learning

Background: Osteoporosis (OP) is a systemic metabolic bone disease that may increase the risk of disability or death. Increasing evidence suggests that circadian rhythms play an important role in OP, ...
IEEE

Automated Prediction of Gamburtsev Subglacial Lakes in East Antarctica With Optimized Stacking Ensemble Learning

Abstract: The development in machine learning (ML) technology has brought new horizons for the prediction of subglacial lakes (SLs) using radio-echo sounding (RES) data, offering fresh perspectives ...
IEEE

Multiobjective Semi-Supervised Ensemble Learning and Its Application in Iron and Steel Industry

Abstract: High-quality predictions of key indicators are essential to maintain stable production in the iron and steel industry. However, most existing prediction methods rely on manually designed ...
Frontiers

MALDI-TOF MS in conjunction with machine learning: toward a new era for antimicrobial susceptibility testing

1 Department of Laboratory Medicine, Center of Infectious Diseases and Pathogen Biology, The First Hospital of Jilin University, Changchun, Jilin, China 2 College of Medical Technology, Beihua ...