Tag: Machine learning

A new PRISMA-based systematic review of 108 studies finds that most healthcare AI technologies remain at intermediate technology readiness levels, ...

A new review charts how direct ink writing has evolved from robocasting experiments into a mature, data-driven platform for manufacturing ...

A new triboinformatics study uses gradient boosting, deep learning, and interpretable AI to accurately predict wear and friction in Nitinol ...

Researchers have developed a machine learning framework that models long and short-term music preferences, decomposes sparse heterogeneous traffic data, and ...

Researchers have developed ReliFuse, a machine learning framework that fuses cached predictions from multiple segmentation experts to segment lung vessels ...

A new review maps the machine learning methods that allow multi-omics models to predict clinical outcomes even when entire layers ...

Researchers used OCO-2 satellite data and a LightGBM machine learning model to build the first daily, high-resolution global maps of ...

Researchers have developed a machine learning framework that fuses satellite data with agricultural statistics to estimate global crop yields months ...

An international team proposes the RHEM framework to make AI-infused hybrid Earth system models transparent, trustworthy and reproducible.

Researchers in Toronto fine-tuned the Segment Anything Model to automatically segment footwear outsoles, using the resulting contact areas to predict ...