This tool is more than just an academic model, it is a ready-to-deploy decision support system that integrates backend predictive analytics with frontend usability. By offering real-time insights, it ...

By combining artificial intelligence and sensors that can see beyond visible light, Arkansas researchers have developed a ...

By combining artificial intelligence and sensors that can see beyond visible light, Arkansas researchers have developed a system ...

A new study used machine learning to pinpoint the lifestyle and health factors most strongly associated with cognitive ...

A new study from Western University suggests AI could play a critical role in improving tsunami early warning systems.

• Be Fine With Being Bored: Instead of screens, we stretch out in the hammock, stroll down to the bird refuge by our house, ...

In an era of disruption, finance students are being taught how to think flexibly, adapt swiftly and manage ambiguity as a core career skill ...

A Western University study buoyed traditional statistics with novel machine learning techniques, using artificial intelligence, to test early warning models for Tofino, B.C.

History has a way of repeating itself. But unlike science, built on general principles and testable theories about the natural world, history examines ...

This study applies the Team Data Science Process to the modelling stage, utilizing machine learning algorithms such as Random Forest, XGBoost, and Decision Tree to develop a coconut quality ...

This project applies tree-based machine learning algorithms to predict the survival ... Build a recursive decision tree classifier from scratch. Implement a Random Forest using bagging over multiple ...

The model presented here is a multi-model design that uses vector machines, gradient boosting machines, random forests, decision trees, and naive non-Bayesian machine learning techniques to worsen ...