Rainfall prediction is fundamental to water resource management, agriculture, disaster mitigation and climate research. Traditional statistical approaches, such as linear regression and time-series ...

Researchers propose a machine learning methodology to accelerate the design of erosion-resistant paint coatings. Their work ...

Batch failures in biomanufacturing are rarely unpredictable. The warning signals appear in process data long before a culture collapses or a critical quality attribute drifts out of specification, but ...

Machine learning predicted activated clotting time during AF ablation, with deep learning achieving 81% accuracy.

Drawing together discrete porosity data with models describing their underlying physics yields dimensionless physical ...

Cryptocurrency markets generate enormous amounts of information. Artificial intelligence (AI) and machine learning systems can process price movements, trading ...