Researchers in Slovakia have demonstrated a machine-learning framework that predicts PV inverter output and detects anomalies using only electrical and temporal data, achieving 100% accuracy in ...

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of the random forest regression technique (and a variant called bagging regression), where the goal is to ...

Objective This study reviewed the current state of machine learning (ML) research for the prediction of sports-related injuries. It aimed to chart the various approaches used and assess their efficacy ...

Let's start with a common problem that people have, especially when they are just starting out with machine learning. It has to do with running the same program multiple times, and getting different ...

A scoping review shows machine learning models may help predict response to biologic and targeted synthetic DMARDs in ...

According to a new study, machine learning can reliably identify patients at high risk of early dysphagia following acute ...

A new study shows that machine-learning models can accurately predict daily crop transpiration using direct plant measurements and environmental data. By training models on seven years of ...