A study highlights the most dangerous Southern US intersections using comprehensive crash data from 2019 through 2023, ...

The IMF study shows that satellite data such as nighttime lights, air pollution, and vegetation health, when combined with machine-learning models, can reliably estimate Cambodia’s GDP growth in near ...

Abstract: This paper proposes using collisions of Pareto random variables in traffic analysis and in generating fictitious network traffic that follows various Pareto distributions. Pareto ...

Bankruptcy forecasting, a long-standing challenge for investors, regulators, and financial institutions, has taken a significant leap forward with a new study that places machine learning at the ...

CAPE-Lab−Computer-Aided Process Engineering Laboratory, Department of Industrial Engineering, University of Padova, Via Marzolo 9, 35131 Padova PD, Italy ...

Epidemiological studies often have missing data, which are commonly handled by multiple imputation (MI). In MI, in addition to those required for the substantive ...

feature/performance kind/bugThis issue represents a verified problem we are committed to solvingThis issue represents a verified problem we are committed to solving The Tenants Overview page performs ...

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