QUT researchers have developed a pioneering mathematical framework to help "pick winners" and maximize limited funding and ...
Euclid mission has published the most extensive simulation of the cosmos to date. The modeling was based on algorithms ...
Abstract: This paper investigates optimal tracking control of linear stochastic systems with multiplicative state-dependent and input-dependent noise via a novel model-free integral reinforcement ...
Abstract: The sparsity-regularized linear inverse problem has been widely used in many fields, such as remote sensing imaging, image processing and analysis, seismic deconvolution, compressed sensing, ...
The final, formatted version of the article will be published soon. Understanding brain-behavior relationships and predicting cognitive and clinical outcomes from neuromarkers are central tasks in ...
EMFF-2025_V1.0.pb provides a powerful, flexible, and user-friendly toolset designed for molecular dynamics (MD) simulations. This force field is developed based on DeePMD-kit (DeePMD-kit Documentation ...
Machine-learning models identify relationships in a data set (called the training data set) and use this training to perform operations on data that the model has not encountered before. This could ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback