Parametric LCA aims to maintain the relationships between different parameters along the life cycle of a system or product, modeling the system with variables and equations that depict these ...
Abstract: Bayesian-directed acyclic discrete-variable graphs are reduced to a simplified normal form made up of only replicator units (or equal constraint units ...
Abstract: In this article, two kinds of dynamic event-triggered lag bipartite consensus (LBC) control problems for a linear multiagent system (MAS) with structurally balanced signed directed graph are ...
This repository contains code for Graph Neural ODE++. This work was completed as part of CPSC 483: Deep Learning on Graph-Structured Data. We propose Graph Neural ODE++, an improved paradigm for Graph ...
Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing 100080, P. R. China Department of Mathematics, Hunan Normal University, Hunan, Changsha 410081, P. R. China Author for ...
This article presents a parametric numerical study of the pullout behavior of headed bars embedded in concrete elements. The finite element model was developed using Abaqus software and validated to ...
The precise imaging of many-body systems, which are comprised of many interacting particles, can help to validate theoretical ...
One powerful way to do this is through a routine called slow reveal graphs.
A scientific statement has been published by the AHA and ACC regarding using risk assessment for BP management for prevention of CVD.
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