Having an accurate estimation for Arkansas’ above ground forest biomass has numerous economic and environmental impacts, Dr.

Supervised learning is a machine learning approach in which algorithms are trained on labelled datasets—that is, data that already includes the correct outputs or classifications. The model learns to ...

NFL training camps are underway and we asked AI to make record predictions for all 32 teams ahead of the 2025 season. Here ...

NFL training camps are underway and we asked AI to make record predictions for all 32 teams ahead of the 2025 season. Here ...

A new study presents a machine learning model that accurately predicts the compressive strength of high-strength concrete, offering a more reliable and efficient alternative to traditional estimation ...

The decision to buy or sell could have less to do with how the team performs on the field than the knock-on effect in Texas' ...

Blasting is considered an indispensable process in mining excavation operations. Generally, only a small percentage of the total energy of blasting is consumed in the fragmentation and displacement of ...

Think of data mining as digging for digital gold. It’s the technique of studying big data to reveal insights, trends, and links that aren't instantly apparent. In simple terms, it takes unprocessed ...

The ability to anticipate glucose changes before they happen is one of ML’s biggest contributions to CGM. Predictive models ...

Thomas Rusch, Ilro Lee, Kurt Hornik, Wolfgang Jank, Achim Zeileis, INFLUENCING ELECTIONS WITH STATISTICS: TARGETING VOTERS WITH LOGISTIC REGRESSION TREES, The Annals of Applied Statistics, Vol. 7, No.