School of Polymer Science and Polymer Engineering, The University of Akron, Akron, Ohio 44325 United States ...

For the spatial + G × E analysis, increasing the order of the factor analytic (FA) models improved the explanation of G × E variance, though the optimal FA model order was dataset-dependent.

Here, we showcase how our graph neural network (GNN)-based implicit solvent (GNNIS ... Taxonomy and describe the scientific concepts and themes of the article. Three models with different random seeds ...

A novel latent robust world model (LRWM) with double latent features is elaborated based on probabilistic graphical model (PGM) to learn the transition of the USV navigation and predict future latent ...

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Abstract: Adaptive filtering faces significant challenges in handling complex non-Gaussian noise, while graph signal processing (GSP) excels at processing data with intricate structures. This brief ...

The Graphical Language Server Platform provides extensible components for the development of diagram editors including edit functionality in (distributed) web-applications via a client-server protocol ...