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Neural network, kernighan-lin and multilevel heuristics for the graph bisection problem on geometrically connected graphs
(Universidad de Los Andes, 2009)
System-level prognostics and health management: A graph convolutional network-based framework
(SAGE, 2020)
Sensing technologies have been used to gather massive amounts of data to improve system reliability analysis with the use of deep learning. Their use has been mainly focused on specific components or for the whole system, ...
Redes neurais para grafos e suas aplicações aos sistemas complexos
(Universidade Federal de São CarlosUFSCarPrograma Interinstitucional de Pós-Graduação em Estatística - PIPGEsCâmpus São Carlos, 2022-04-08)
Complex systems are composed of several components that interact with each other. A natural
approach for these types of systems is to use mathematical graph abstraction. In different
contexts in the real world, it is ...
FUZZY GRAPHS IN FUZZY NEURAL NETWORKS
(Universidad Católica del Norte, Departamento de Matemáticas, 2009)