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Multilevel refinement based on neighborhood similarity
(Association for Computing Machinery - ACMInstituto Superior de Engenharia do Porto - ISEPPorto, 2014-07)
The multilevel graph partitioning strategy aims to reduce the computational cost of the partitioning algorithm by applying it on a coarsened version of the original graph. This strategy is very useful when large-scale ...
A multilevel approach for overlapping community detection
(Universidade de São Paulo - USPUniversidade Federal de São Carlos - UFSCarCentro de Robótica de São Carlos - CROBSociedade Brasileira de Computação - SBCSociedade Brasileira de Automática - SBASão Carlos, 2014-10)
Many real world complex networks have an a overlapping community structure, in which a vertex belongs to one or more communities. Numerous approaches for crisp overlapping community detection were proposed in the literature, ...
Denoising and Voltage Estimation in Modular Multilevel Converters Using Deep Neural-NetworksDenoising and Voltage Estimation in Modular Multilevel Converters Using Deep Neural-Networks
(2020)
Modular Multilevel Converters (MMCs) have become one of the most popular power converters for medium/high power applications, from transmission systems to motor drives. However, to operate properly, MMCs require a considerable ...
Molecular Networks in Dynamic Multilevel Systems
(Wiley VCH Verlag, 2018-09)
Dynamic multilevel systems can be assembled from molecular building blocks through two or more reversible reactions that form covalent bonds. Molecular networks of dynamic multilevel systems can exhibit different connectivities ...
Most Successful Multilevel Networks: Analysis for the Efficient initial decision-makingMultiniveles más exitosos: Análisis para la toma eficiente de decisiones iniciales
(USFQ PRESS, departamento editorial de la Universidad San Francisco de Quito USFQ, 2012)
Proposing a Multilevel Approach for the Management of Uncertainties in Exploratory Projects
(2019-01-01)
Managers of exploratory projects might face uncertainties over long timeframes at different levels (e.g., project, portfolio, organization, and network). Although literature offers some guidance on how to deal with ...
Spatial-Aware Multi-Level Parsing Network for Human-Object Interaction
Human-Object Interaction (HOI) detection focuses on human-centered visual relationship detection, which is a challenging task due to the complexity and diversity of image content. Unlike most recent HOI detection works ...