More alike than we think: UVA researchers find a similar pattern of distribution among plants, animals and microbes. (Illustration by John DiJulio, University Communications) ...

Then, a particle swarm-optimized random forest algorithm (PSO-RF) is used to achieve continuous automatic identification of sedimentary formations, and the identification results are comprehensively ...

The algorithms examined include decision trees, K-nearest neighbors, random forests, support vector machines, XGBoost, gradient boosting, and bagging. Gradient boosting achieves the highest global ...

One of these is one of the most widely distributed species in Northern Europe, while another is found only in old-growth forests.

This paper proposes a Random Forest grid fault prediction model based on Genetic Algorithm optimization (GA-RF) to classify the grid fault types, which improves the distribution network fault ...

In Valley County, Idaho, for example, data show that the Forest Service is the area’s third largest employer — ahead of a school district, the local hospital and a major ski resort.

It also evaluates AI’s role in automation and prediction through portfolio management, predictive analysis, and risk mitigation, emphasizing advanced machine learning techniques, including deep ...

The study in Faisalabad found that the spatial distribution of urban forests correlates with the reduction of PM2.5, with higher concentrations of trees leading to greater reductions in particulate ...

This article presents a fault diagnosis method utilizing Random Forest (RF) for analyzing faults detected within the power distribution room simulation circuit. Employing the Python programming ...