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Published in 2022 at "Autism Research"
DOI: 10.1002/aur.2862
Abstract: Despite the prevalence of special interests (SIs) in autistic youth, research on SIs and how they are characterized is limited. Indeed, a significant challenge in identifying and classifying SIs lies in capturing the vast and…
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Keywords:
sis;
network;
special interests;
survey ... See more keywords
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Published in 2022 at "International Journal of Intelligent Systems"
DOI: 10.1002/int.22833
Abstract: As an important model of machine learning, Bayesian networks (BNs) have received a lot of attentions since they can be used for classification via probabilistic inference. However, since it is a complicated combination optimization problem,…
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Keywords:
structure;
structure learning;
genetic algorithm;
network structure ... See more keywords
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Published in 2019 at "Macromolecular rapid communications"
DOI: 10.1002/marc.201800867
Abstract: For the study of polymer networks, having access to polymer networks with a controlled and well-defined microscopic network structure is of great importance. However, typically, such networks are difficult to synthesize. In this work, a…
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Keywords:
network structure;
well defined;
polymer networks;
trimerization ... See more keywords
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Published in 2018 at "Statistics in medicine"
DOI: 10.1002/sim.7259
Abstract: Understanding the dynamics of disease spread is key to developing effective interventions to control or prevent an epidemic. The structure of the network of contacts over which the disease spreads has been shown to have…
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Keywords:
network structure;
network;
transmission;
estimate ... See more keywords
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Published in 2019 at "Annals of Operations Research"
DOI: 10.1007/s10479-018-2831-1
Abstract: In this paper, we propose a novel concept of correlation-based stable networks to empirically investigate the dynamic integration and network structure of the European Monetary Union (EMU) sovereign bond markets. The obtained results uncover a…
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Keywords:
dynamic integration;
emu;
network;
network structure ... See more keywords
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Published in 2020 at "Applied Intelligence"
DOI: 10.1007/s10489-020-01780-7
Abstract: Network embedding is an effective method aiming to learn the low-dimensional vector representation of nodes in networks, which has been widely used in various network analytic tasks such as node classification, node clustering, and link…
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Keywords:
network structure;
information;
network;
network embedding ... See more keywords
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Published in 2020 at "Cellulose"
DOI: 10.1007/s10570-020-03166-x
Abstract: Abstract The change in ionic strength of cellulose nanocrystal (CNC) suspensions is shown to contribute to a respective change in colloidal behavior, such as stiffness and fractal gelation. In this study, dynamic colloidal behavior and stability of aqueous…
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Keywords:
network structure;
cnc;
salt;
nonlinear viscoelastic ... See more keywords
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Published in 2017 at "Wireless Personal Communications"
DOI: 10.1007/s11277-016-3761-3
Abstract: To mitigate inter-cell interference, which causes throughput degradation for cell-edge users, a shared relay with sector antennas that are connected to neighboring base stations (BSs) with optical cable is deployed in the cell boundary. Each…
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Keywords:
network structure;
cellular network;
shared relays;
new cellular ... See more keywords
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Published in 2017 at "Acta Geophysica"
DOI: 10.1007/s11600-017-0039-4
Abstract: Seismic hazard evaluation before recent strong main shocks in the area of Greece is attempted using prior seismicity on the basis of earthquake network theory. The connections of earthquake networks are constructed from successive earthquakes…
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Keywords:
network structure;
application complex;
network theory;
network ... See more keywords
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Published in 2018 at "Applied Network Science"
DOI: 10.1007/s41109-017-0042-3
Abstract: Most real networks are too large or they are not available for real time analysis. Therefore, in practice, decisions are made based on partial information about the ground truth network. It is of great interest…
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Keywords:
network structure;
network;
theory;
similarity ... See more keywords
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Published in 2019 at "Applied Energy"
DOI: 10.1016/j.apenergy.2019.01.011
Abstract: Abstract Understanding maritime network structure and traffic flow changes is a challenging task that must incorporate economic, energy, geopolitics, maritime transportation, and network sciences. The reported research examines whether there are linkages between oil price…
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Keywords:
oil price;
maritime network;
oil;
network structure ... See more keywords