An innovative resource designed to streamline and improve decision-making in agricultural and natural resources production and management is now available to a wide range of users—including ...

The state is still mourning the loss of legendary broadcaster Don Robbs, who called UH baseball games for four decades. Robbs left a broadcasting tree that fruitfully sprouted some of Hawaii's best, ...

Consequently, in this article, a novel decision-making method designed to meet the demands of multiple reactive tasks is proposed to serve autonomous driving sweepers. Smart nodes (smart sequence and ...

Gradient boosted decision tree (GBDT) is a popular machine learning algorithm. Current open-sourced GBDT implementations are mainly designed for single output. When there are multiple outputs, they ...

Abstract: Gradient-boosting decision tree classifiers (GBDTs) are susceptible to adversarial perturbation attacks that change inputs slightly to cause misclassification. GBDTs are customarily used on ...

Predictions from individual trees are combined through majority voting to make the final classification decision. This process enhances the system’s robustness and learning patterns from ECG and iris ...

The Cleveland Browns own the No. 2 overall pick in the NFL Draft this year, and most are assuming that the Browns will play it safe and simply take a quarterback at that spot. After all, Cleveland ...