Researchers at Universidad Carlos III de Madrid (UC3M) have developed a set of innovative methods and algorithms that improve ...
Naive Bayes is a widely used classification algorithm known for its simplicity and efficiency. This package takes naive Bayes to a higher level by providing more flexible and weighted variants, making ...
Abstract: This paper presents a Bayesian optimization-based framework for incorporating small-signal stability constraints into the optimal power flow (OPF) problem. First, a mathematical optimization ...
Abstract: In recent years, image restoration using large-scale la-tent diffusion generative models (DGM) has attracted in-creasing attention and achieved significant progress. Most of these latent DGM ...
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