Molecular dynamics is a method that uses Newton’s equations of motion to computationally simulate the time evolution of a set of interacting atoms. Such techniques are dependent on a description of ...
Abstract: Increasingly, for many application areas, it is becoming important to include elements of nonlinearity and non-Gaussianity in order to model accurately the underlying dynamics of a physical ...
Abstract: Tensor decompositions can be a powerful tool when faced with the curse of dimensionality and have been applied in myriad applications. Their application to problems in the control community ...
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Objectives This study investigated the impact of heat on the risk of hospital admission due to a range of health conditions in England. Design We used records of over 4 million hospital admissions in ...
Support vector regression can predict numeric values effectively, and this article shows how to implement and train a kernel SVR model in C# using stochastic sub-gradient descent.
BACKGROUND: Hypertension induces structural and functional damage in multiple organs. Evidence of subclinical damage ...
WGAST (Weakly-Supervised Generative Network for Daily 10 m Land Surface Temperature Estimation via Spatio-Temporal Fusion) is a novel deep learning framework for spatio-temporal fusion of satellite ...
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