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 ...
StudyFinds on MSN

AI map ranks US states by socioeconomic flu vulnerability

In A Nutshell Researchers used a machine learning model to rank all 50 U.S. states and Washington, D.C. by socioeconomic vulnerability to flu-like illness, finding wide regional variation in risk.
IEEE

Intelligent Control of the Dry Slag Discharge System in Power Plants Based on the Random Forest Algorithm

Abstract: The random forest algorithm was applied to the dry slag discharge control system in power plants to enable intelligent control of thermal slag transportation, discharge, and damper ...
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 ...