EurekAlert!

Fast AI for satellite learns to quantify uncertainty

Accurately tracking atmospheric greenhouse gases requires not only fast predictions but also reliable estimates of uncertainty.
IEEE

Early Detection of Anemia Using Ensemble Machine Learning Algorithms with Data Balancing

Abstract: A global public health concern that impacts not just the impoverished but also rich populated countries is anemia. It's an international concern for public health assurance. Although its ...
IEEE

Financial Risk Warning and Traceability for Manufacturing Enterprises: A Three-Stage Framework Based on Ensemble Learning Algorithm

Abstract: Manufacturing enterprises operate in an increasingly volatile global supply chain environment, making financial risk early warning a critical prerequisite for ensuring sustainable operations ...
Scientific Research Publishing

Boosting Algorithm: An Ensemble Learning Tool for Land Use Land Cover Classification Using Google Alpha Earth Foundations Satellite Embeddings ()

Accurate land use/land cover (LULC) classification remains a persistent challenge in rapidly urbanising regions especially, in the Global South, where cloud cover, seasonal variability, and limited ...
Frontiers

Rapid identification of lactic acid bacteria at species/subspecies level via ensemble learning of Ramanomes

Rapid and accurate identification of lactic acid bacteria (LAB) species would greatly improve the screening rate for functional LAB. Although many conventional and molecular methods have proven ...