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New algorithm enables precise subtyping of metabolic liver disease

Metabolic-associated steatotic liver disease (MASLD) is a clinically heterogeneous condition with highly variable outcomes ...
Analytics Insight

10 Must-Know Machine Learning Algorithms for Data Science in 2026

Machine learning algorithms help computers analyse large datasets and make accurate predictions automatically.Classic models ...

What makes a genus real? Scientists use tree bats to evaluate a testable '2 Sigma Genus Concept'

Dr. Amy Baird, Professor of Biology at the University of Houston-Downtown (UHD), and her colleagues are seeking to change the ...
IEEE

Coconut Quality Classification Using Random Forest, XGBoost, and Decision Tree Algorithm with Color, Texture, and Shape Feature Extraction

Abstract: Indonesia is a significant coconut producer, but the quality classification of coconuts is still performed manually, which is labour-intensive, costly, and time-consuming. This study applies ...
Scientific Research Publishing

Boosting Algorithm: An Ensemble Learning Tool for Land Use Land Cover Classification Using Google Alpha Earth Foundations Satellite Embeddings ()

Accurate land use/land cover (LULC) classification remains a persistent challenge in rapidly urbanising regions especially, in the Global South, where cloud cover, seasonal variability, and limited ...
IEEE

Decision Trees Based Classification of Cardiotocograms Using Bagging Approach

Abstract: Cardiotocography (CTG) is a worldwide method used for recording fetal heart rate and uterine contractions during pregnancy and delivery. The consistent visual assessment of the CTG is not ...