While multiple machine learning (ML) algorithms offered similar predictive performance, the cost-effective analysis revealed ...

Predicting the extent of Arctic sea ice in September has significant implications for climate change and shipping in the ...

The least absolute shrinkage and selection operator-logistic regression (Lasso-LR) model is optimal for predicting ...

As shipping activity in the Arctic and North Atlantic oceans increases with reductions in sea ice because of climate change, ...

Current care in multiple sclerosis (MS) primarily relies on infrequently obtained data such as magnetic resonance imaging, clinical laboratory tests or clinical history, resulting in subtle changes ...

SAVANA uses a machine learning algorithm to identify cancer-specific structural variations and copy number aberrations in long-read DNA sequencing data. The complex structure of cancer genomes means ...

Accurate climate prediction, particularly precipitation forecasting, remains a cornerstone for agriculture, water resource management, and disaster ...

A new study presents an advanced remote sensing and machine learning model that accurately distinguishes between natural and ...

Explore use of machine learning in supply chain logistics, including how machine learning can benefit your supply chain ...

At the heart of the project lies what is referred to as the Bowers WBHI Maternal Brain Project (MBP) dataset, a first-of-its-kind resource for mapping neuroanatomical changes — from preconception ...

Earthquake News. Early detection, historic earthquakes, earthquake measurement, smart building methods and more in our earthquake research news.