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

A decision tree regression system incorporates a set of if-then rules to predict a single numeric value. Decision tree regression is rarely used by itself because it overfits the training data, and so ...

Abstract: Energy demand prediction is essential in ensuring national energy security, promoting high-quality economic development, advancing sustainable development, optimizing the energy structure, ...

Background: Fraud is a type of financial crime risk that poses threats to customers and banks. There're multiple typologies within fraud such as authorised and unauthorised digital, payment, credit ...

Linear regression is the most fundamental machine learning technique to create a model that predicts a single numeric value. One of the three most common techniques to train a linear regression model ...

Scientists have created an AI model that forecasts moderate heat stress—a major precursor to coral bleaching—at sites along Florida's Coral Reef up to six weeks ahead, with predictions generally ...

In biopharmaceutical manufacturing, optimizing chemically defined media (CDM) is critical for enhancing cell growth, productivity, and product quality in mammalian cell cultures. Traditional screening ...

Abstract: Predicting the number of calories burned during physical activity is essential for managing personal fitness, health monitoring, and preventing lifestyle diseases. This study offers a ...

这是你suan的第一个项目，每日电力负荷的时间序列预测模型,数据集格式模板为：'年/月/日 时:分'(year/month/day hour:minute ...