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Published in 2021 at "Asian Journal of Control"
DOI: 10.1002/asjc.2590
Abstract: In this paper, pinning synchronization of complex networks is investigated from a moment‐based analysis approach. The analytical expressions for the first three expected moments of the coupling and control matrix for an ER random graph,…
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Keywords:
pinning synchronization;
complex networks;
moment based;
network ... See more keywords
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Published in 2024 at "Asian Journal of Control"
DOI: 10.1002/asjc.3545
Abstract: This paper focuses on the state estimation issue for a type of complex networks (CNs) subject to cyberattacks. A multi‐modal deception attack (MMDA) model is introduced, in which different deception attack tactics target distinct sensor…
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Keywords:
modal deception;
estimation;
multi modal;
deception ... See more keywords
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Published in 2024 at "Ecology and Evolution"
DOI: 10.1002/ece3.11630
Abstract: Abstract Ecosystem services offered by urban forests must be proactively managed to remain diverse and sustainable. Recent research findings deserve a systematic synthesis to elucidate inherent knowledge structures and dynamics. This study focused on the…
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Keywords:
tree diversity;
urban tree;
research;
complex networks ... See more keywords
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Published in 2020 at "Stochastic Environmental Research and Risk Assessment"
DOI: 10.1007/s00477-020-01931-9
Abstract: Applications of the concepts of complex networks for studying streamflow dynamics are gaining momentum at the current time. The present study applies a coupled phase space reconstruction–network construction method to examine the clustering property of…
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Keywords:
network;
complex networks;
clustering coefficient;
network construction ... See more keywords
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Published in 2024 at "Artificial Intelligence Review"
DOI: 10.1007/s10462-024-10998-7
Abstract: Complex networks are commonly observed in several real-world areas, such as social, biological, and technical systems, where they exhibit complicated patterns of connectedness and organised clusters. These networks have intricate topological characteristics that frequently elude…
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Keywords:
complex networks;
feature extraction;
prediction;
network ... See more keywords
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Published in 2022 at "Applied Intelligence"
DOI: 10.1007/s10489-021-02589-8
Abstract: Community detection is one of the long standing and challenging tasks in the field of Complex Networks (CNs). Recently, deep learning is one of the promising community detection methods, which can learn effectively low-dimensional representation…
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Keywords:
community;
parallel stacked;
optimization;
complex networks ... See more keywords
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Published in 2017 at "Cluster Computing"
DOI: 10.1007/s10586-017-1378-2
Abstract: Heterogeneous objects (HEO) which refer to product models with spatially different material compositions or structures have attracted extensive attention from different disciplines due to emerging techniques in design and manufacturing in the last decade. The…
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Keywords:
heterogeneous objects;
modeling optimization;
based complex;
networks theory ... See more keywords
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Published in 2020 at "Electronic Commerce Research"
DOI: 10.1007/s10660-019-09395-y
Abstract: Automated community detection is an important problem in the study of complex networks. The idea of community detection is closely related to the concept of data clustering in pattern recognition. Data clustering refers to the…
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Keywords:
communities complex;
community detection;
data clustering;
complex networks ... See more keywords
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Published in 2017 at "Applied Energy"
DOI: 10.1016/j.apenergy.2017.02.065
Abstract: Since cities are responsible for 67% of the world’s energy demand and are the major contributors of CO2 emissions, governments and researchers push towards energy policy initiatives aiming at increasing the sustainability of urban areas.…
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Keywords:
urban areas;
energy systems;
energy;
complex networks ... See more keywords
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Published in 2020 at "Applied Mathematical Modelling"
DOI: 10.1016/j.apm.2020.02.012
Abstract: Abstract We introduce an individual-based model with dynamical equations for susceptible-infected-susceptible (SIS) epidemics on clustered networks. Linking the mean-field and quenched mean-field models, a general method for deriving a cluster approximation for three-node loops in…
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Keywords:
disease spreading;
mean field;
complex networks;
based modeling ... See more keywords
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Published in 2019 at "Chemosphere"
DOI: 10.1016/j.chemosphere.2019.05.057
Abstract: Tropospheric ozone (O3) time series have been converted into complex networks through the recent so-called Visibility Graph (VG), using the data from air quality stations located in the western part of Andalusia (Spain). The aim…
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Keywords:
tropospheric dynamics;
rural tropospheric;
complex networks;
urban rural ... See more keywords