A new open-access cross-domain review maps how the same AI algorithms recur across IoT security, network routing, computer ...

Researchers combined ear tag, feeder, pedometer, and environmental data with random forest models to detect bovine ...

This project uses Machine Learning classification algorithms to predict whether a wine is of good quality based on its physicochemical properties. The red and white wine datasets are combined, and ...

A research team has developed a framework that combines machine learning with quantitative microbial risk assessment to ...

UK and France critical minerals partnership: Britain's BGS and France's BRGM signed a three-year agreement to pool AI mapping ...

Underground sewers that safely manage wastewater are essential to modern cities. However, since they are buried underground and difficult to access, their condition can be hard to monitor. Traditional ...

Introduction A few years ago, I was solely responsible for an in-house demand forecasting model. The scores on the validation ...

Drinking water sources can contain diverse bacterial and viral pathogens, making reliable monitoring essential for public ...

Researchers used a hierarchical machine learning strategy to identify tungsten bronze oxides and guide bismuth and germanium ...

Distributional regression (DR) refers to regression methods that model the entire conditional probability distribution of a response variable given a set of explanatory variables. The generalized ...

Manufacturing managers, engineers, and IT professionals interested in AI technologySummary: This article explains real-time ...

Assistant professor Shadfar Davoodi at the Skoltech AI Center has developed an approach for optimizing drilling in ...