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Published in 2021 at "Applied Intelligence"
DOI: 10.1007/s10489-021-02263-z
Abstract: Due to the explosive growth of short text on various social media platforms, short text stream clustering has become an increasingly prominent issue. Unlike traditional text streams, short text stream data present the following characteristics:…
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Keywords:
based dirichlet;
dynamic clustering;
text stream;
text ... See more keywords
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Published in 2019 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-019-7474-y
Abstract: Most of the traditional tracking algorithms use the Kalman filter to predict the tracking process. Although the tracking accuracy is relatively high, the calculation is large and the time complexity is high. Based on this…
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Keywords:
new cluster;
dynamic clustering;
target;
cluster head ... See more keywords
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Published in 2018 at "IFAC-PapersOnLine"
DOI: 10.1016/j.ifacol.2018.09.311
Abstract: Abstract Particle swarm optimization is a population-based global search method, and known to suffer from premature convergence prior to discovering the true global minimizer for global optimization problems. Taking balance of local intensive exploitation and…
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Keywords:
hybrid pso;
pso based;
based dynamic;
global optimization ... See more keywords
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Published in 2023 at "Epidemics"
DOI: 10.1101/2023.03.24.23287690
Abstract: Background. Targeting interventions where most needed and effective is crucial for public health. Malaria control and elimination strategies increasingly rely on stratification to guide surveillance, to allocate vector control campaigns, and to prioritize access to…
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Keywords:
surveillance;
incidence;
stratification;
malaria temporal ... See more keywords
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Published in 2018 at "International Journal of Educational Management"
DOI: 10.1108/ijem-07-2017-0162
Abstract: Purpose The purpose of this paper is to measure students’ satisfaction with the didactics in a large Italian university, that of Padua, giving special attention to its evolution over time in consecutive academic years. The…
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Keywords:
clustering evaluate;
satisfaction;
evaluate satisfaction;
dynamic clustering ... See more keywords
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Published in 2022 at "IEEE Transactions on Intelligent Transportation Systems"
DOI: 10.1109/tits.2022.3148471
Abstract: For the effective green communications amongst the vehicles, the energy-efficient routing protocol for intelligent transportation system (ITS) is essential. Due to the high speed and recurring topological variations of Vehicular sensor Networks, identifying a connected…
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Keywords:
communication;
intelligent transportation;
energy;
dynamic clustering ... See more keywords
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Published in 2022 at "Neurocomputing"
DOI: 10.14428/esann/2021.es2021-121
Abstract: . Clustering is used in many applicative fields to summarize information into a small number of groups. Motivated by behavioral extraction issues from urban data, the interest of this paper is to propose a classification…
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Keywords:
common regressive;
modeling temporal;
temporal data;
clustering modeling ... See more keywords