The correlation between Arctic wildfires and abnormal snow cover under global warming is of growing concern. A comprehensive ...

An Ensemble Learning Tool for Land Use Land Cover Classification Using Google Alpha Earth Foundations Satellite Embeddings ...

A machine learning lung cancer risk prediction model outperformed logistic regression, supporting improved risk assessment and more efficient radiology based lung cancer screening.

The correlation between Arctic wildfires and abnormal snow cover under global warming is of growing concern. A comprehensive quantitative assessment by researchers at The Hong Kong Polytechnic ...

A research team introduces a fully automated, non-destructive phenotyping platform that combines X-ray fluorescence microscopy with computer vision and machine learning.

AI is the broad goal of creating intelligent systems, no matter what technique is used. In comparison, Machine Learning is a specific technique to train intelligent systems by teaching models to learn ...

As an assignment under the module of Applied Machine Learning, our task was to create 3 classification models and compete on a private Kaggle competition. The data provided had 97 masked variables. I ...

Nanotechnology and machine learning are transforming energy systems by enhancing engine efficiency and sustainability. The integration of advanced nanomaterials, such as gold nanoparticles (AuNPs), ...

Breakthrough Stratus system combines 14 algorithms with dynamic AI layer to transform forex trading precision NeuroCloud, a cutting edge technology company specializing in AI powered trading systems, ...

Engineered nanozymes and explainable machine learning enable sensitive bacterial detection across complex conditions. The system uses three distinct signals and delivers transparent, verifiable ...

1 Department of Science and Education, Shenyang Maternity and Child Health Hospital, Shenyang, China 2 Department of Maternal, Child and Adolescent Health, School of Public Health, Shenyang Medical ...