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REDES: Revista Hispana para el Análisis de Redes Sociales, 2021 En este artículo se propone el uso combinado del Análisis Comparado Cualitativo (Qualitative Comparative Analysis – QCA) y el Análisis de Redes Sociales (SNA) cómo estrategia metodológica para la investigación.
Francisca José Ortiz-Ruiz
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USV Annals of Economics and Public Administration, 2022 With growing global actions toward sustainability, businesses have to align their course ensuring it as an outcome of their core business strategy. Businesses have to adapt this challenge and create opportunities to integrate sustainability in their ...
Managing knowledge and innovation for sustainable models of business: a systematic literature network analysis
doaj
Métodos Mixtos para el Análisis de Redes Sociales
REDES: Revista Hispana para el Análisis de Redes Sociales, 2023 Las decisiones metodológicas que se toman a lo largo de cualquier investigación influyen en los resultados y sus conclusiones. Esto implica también que el enfoque desde donde se construye es relevante a la hora de discutir ideas que puedan tener ...
Francisca Ortiz Ruiz
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Dealing With Sparse Rewards Using Graph Neural Networks
IEEE Access, 2023 Deep reinforcement learning in partially observable environments is a difficult task in itself and can be further complicated by a sparse reward signal.
Matvey Gerasyov, Ilya Makarov
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Urban Functional Area Division Based on Cell Tower Classification
IEEE Access, 2019 Each city can be divided into different functional areas for different purposes, such as commercial areas, residential areas, leisure areas, office areas, etc.
Yuewei Wu, Yuanyuan Qiao, Jie Yang
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Polarimetric SAR Image Classification Based on Ensemble Dual-Branch CNN and Superpixel Algorithm
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022 Recently, convolutional neural networks (CNNs) have been successfully utilized in polarimetric synthetic aperture radar (PolSAR) image classification and obtained promising results. However, most CNN-based classification methods require a large number of
Wenqiang Hua +3 more
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A Multilayer Model of Computer Networks [PDF]
International Journal of Computer Trends and Technology (IJCTT)
V26(1):12-16, August 2015, 2015 The fundamental concept of applying the system methodology to network analysis declares that network architecture should take into account services and applications which this network provides and supports. This work introduces a formal model of computer networks on the basis of the hierarchical multilayer networks.
arxiv +1 more source
AntioxidantsAtherosclerosis is a complex condition that involves the accumulation of lipids and subsequent plaque formation in the arterial intima. There are various stimuli, cellular receptors, and pathways involved in this process, but oxidative modifications of ...
Marco Munno +5 more
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Analysis of network by generalized mutual entropies [PDF]
, 2007 Generalized mutual entropy is defined for networks and applied for analysis of complex network structures. The method is tested for the case of computer simulated scale free networks, random networks, and their mixtures. The possible applications for real network analysis are discussed.
arxiv +1 more source
A Survey on the Network Models applied in the Industrial Network Optimization [PDF]
arXiv, 2022 Network architecture design is very important for the optimization of industrial networks. The type of network architecture can be divided into small-scale network and large-scale network according to its scale. Graph theory is an efficient mathematical tool for network topology modeling.
arxiv