Physics-informed neural networks (PINNs) have shown remarkable prospects in solving forward and inverse problems involving ...
Abstract: Aiming at the problem that the traditional photovoltaic output parametric model presets the distribution and is difficult to describe the meteorological randomness, this paper proposes a ...
An artificial intelligence-assisted diagnostic system may accurately estimate bone mineral density and classify osteoporosis category. Toru Moro, M.D., Ph.D., from the University of Tokyo, and ...
AKDE provides an accurate, adaptive kernel density estimator based on the Gaussian Mixture Model for multidimensional data. This Python implementation includes automatic grid construction for ...
We retrospectively analyzed 1,080 nonactionable three-dimensional (3D) reconstructed DBT screening examinations acquired between 2011 and 2016. Reference tissue segmentations were generated using ...
Breast density is a widely established independent breast cancer risk factor. With the increasing utilization of digital breast tomosynthesis (DBT) in breast cancer screening, there is an opportunity ...
Density estimation methods often involve kernels, but there are advantages to using splines. Especially if the shape of the density is known to be decreasing, or unimodal, or bimodal, or if the ...
ABSTRACT: In real-world applications, datasets frequently contain outliers, which can hinder the generalization ability of machine learning models. Bayesian classifiers, a popular supervised learning ...
ABSTRACT: In real-world applications, datasets frequently contain outliers, which can hinder the generalization ability of machine learning models. Bayesian classifiers, a popular supervised learning ...
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