Researchers developed a hybrid machine-learning maturity model that accurately predicts the compressive strength development ...

A machine learning study evaluating UCI breast tumor data demonstrated that the XGBoost model achieved 97.3 percent accuracy, ...

A clearer view of coming prices could make those decisions less uncertain, especially when weather problems and market ...

Urban flooding increasingly disrupts transport systems in rapidly urbanizing cities, yet road-oriented flood-susceptibility assessments that integrate recurrent flood observations with geographically ...

Scientists have developed a new AI model that could provide UN nuclear inspectors with advanced capabilities to ...

A research team comprising Md Samdani Azad, Minji Choi, and Tae-Hyung Lee has developed an explainable multi-target machine learning framework based on ...

According to Finbold’s predictive machine learning algorithm, XRP is not only likely to halt the downtrend but will see a ...

Machine learning project for diamond price prediction using XGBoost, regression model comparison, and a Python Tkinter interface. - bernayaman03/Diamond-Price-Prediction ...

As diversity in work styles expands in society, more people are considering side hustles as data analysis professionals to ...

H2O.ai today announced H2O-3 Secure, a commercially licensed, production-grade edition of its open source machine learning platform, H2O-3. Available immediately, H2O-3 Secure gives enterprises in ...

Spain’s gambling regulator, the DGOJ, has reopened consultation on a revised common algorithm designed to identify players at risk of gambling harm, after the Spanish Data Protection Agency required ...

Postpartum depression (PPD) is associated with severe adverse outcomes, yet timely risk stratification remains challenging. Existing machine learning models are often limited by insufficient external ...