Traditional machine learning methods like Support Vector Machines, Random Forest, and gradient boosting have shown strong ...

A study in the International Journal of Critical Infrastructures discusses a financial early warning system based on an ...

A machine learning–based tool accurately predicted risk for recurrent inflammatory activity after DMT discontinuation in MS, highlighting its potential to guide personalized treatment decisions.

Researchers have identified multiple causal biomarkers for metabolic dysfunction-associated steatotic liver disease (MASLD), ...

ML and AI aren’t a magic wand, but when paired with high-quality data, they’re a game changer. In forensics, and especially ...

The causal biomarkers for metabolic dysfunction-associated steatotic liver disease (MASLD) and their clinical value remain ...

Importantly, explainable AI is beginning to be integrated into these systems, offering pathways to clarify how models reach their conclusions. This emerging focus on interpretability is seen as ...

The study, titled "Machine Learning Technique for Carbon Sequestration Estimation of Mango Orchards Area Using Sentinel-2 Data," is led by Prof. Sittichai Choosumrong from the Department of Natural ...

GenAI should be implemented in a way that enhances businerss students’ problem-solving skills without eroding the human ...

Biochar, a carbon-rich material made from organic waste, is gaining attention for its ability to improve soils, clean water, and capture carbon. A new review in Biochar X highlights how machine ...

The causal biomarkers for metabolic dysfunction-associated steatotic liver disease (MASLD) and their clinical value remain unclear. In this study, we ...