Chromatography Online

Non-Destructive Banana Ripeness Prediction Using Volatile Organic Compounds

A recent study conducted at The University of Osaka (Japan), based on the research team’s hypothesis that a non-destructive model for predicting fruit ripeness could be developed using volatile ...
Open Heart

Enhanced cardiovascular disease risk prediction using integrated machine learning models: a study from the UK Biobank cohort

Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk identification to improve prevention and management strategies. Traditional risk ...
Technology Networks

AI Models for Protein Function Prediction

AI protein function prediction uses machine learning models trained on sequence and structural data to infer protein roles at ...
Devdiscourse

IoT and ensemble AI transform congestion prediction in urban bus networks

However, inconsistent travel times and unpredictable congestion continue to undermine service reliability, particularly in ...
Scientific Research Publishing

A Hybrid Machine Learning Framework for Early Diabetes Prediction in Sierra Leone Using Feature Selection and Soft-Voting Ensemble ()

A Hybrid Machine Learning Framework for Early Diabetes Prediction in Sierra Leone Using Feature Selection and Soft-Voting Ensemble ...