Science|Business

Imperial and SOLVE Chemistry bring chemical reaction data to machine learning

Researchers from Imperial and its spinout company SOLVE Chemistry have presented a chemical dataset at the prestigious AI conference NeurIPS that could help accelerate the use of machine learning to ...
Open Heart

Machine learning-based cardiovascular risk calculator for non-cardiac surgery

Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...
IEEE

Comparing Active Learning for Satellite Imagery: Contrastive Learning, Diversity, Confidence Sampling, and Cold Start Strategies

Abstract: In this article, we investigated and compared common active learning strategies for classification and semantic segmentation tasks using satellite imagery. Our findings suggest that the ...
EurekAlert!

Deep learning meets plant physics to improve non-destructive nitrogen monitoring in crops

A research team has developed a new hybrid artificial intelligence framework that can accurately estimate leaf nitrogen content without relying on labor-intensive field measurements.
Frontiers

The place of advanced machine learning techniques in building pancreatic adenocarcinoma survival and recurrence prognosis models

Background: Pancreatic ductal adenocarcinoma (PDAC) is a highly lethal malignancy, and traditional prognostic methods, such as TNM staging, often fail to accurately predict outcomes. This review ...
IEEE

State-of-the-Art Fault Detection and Diagnosis in Power Transformers: A Review of Machine Learning and Hybrid Methods

Abstract: Fault detection and diagnosis (FDD) in power transformers is essential for maintaining reliability and safety in modern power systems. Recent trends in transformer fault diagnosis include ...