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Published in 2024 at "Scientific Reports"
DOI: 10.1038/s41598-024-74361-0
Abstract: Community detection is a critical component of network analysis and a hot topic in social computing. Detecting community structure in dynamic networks has important theoretical and practical implications for understanding the intrinsic function of networks…
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Keywords:
deep learning;
learning evolutionary;
dynamic networks;
community ... See more keywords
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Published in 2022 at "Bioinformatics"
DOI: 10.1093/bioinformatics/btac028
Abstract: MOTIVATION The comparison of genomes using models of molecular evolution is a powerful approach for finding, or towards understanding, functional elements. In particular, comparative genomics is a fundamental building brick in annotating ever larger sets…
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Keywords:
end end;
coding regions;
learning evolutionary;
end learning ... See more keywords
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Published in 2020 at "Applied Sciences"
DOI: 10.3390/app10228123
Abstract: In this study, we estimated drifter tracking over seawater using machine learning and evolutionary search techniques. The parameters used for the prediction are the hourly position of the drifter, the wind velocity, and the flow…
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Keywords:
improvement;
machine learning;
estimated drifter;
drifter tracking ... See more keywords
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Published in 2025 at "PeerJ Computer Science"
DOI: 10.7717/peerj-cs.2698
Abstract: Vitamin D deficiency (VDD) has emerged as a serious global health concern that can lead to far-reaching consequences, including skeletal issues and long-term illness. Classical diagnostic approaches, although effective, often include invasive techniques and lacks…
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Keywords:
deep learning;
learning evolutionary;
vitamin deficiency;
evolutionary computing ... See more keywords