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pro vyhledávání: '"Ignacio, Paul Samuel P."'
Network centrality measures play a crucial role in understanding graph structures, assessing the importance of nodes, paths, or cycles based on directed or reciprocal interactions encoded by vertices and edges. Estrada and Ross extended these measure
Externí odkaz:
http://arxiv.org/abs/2208.05565
Autor:
Ignacio, Paul Samuel P.
We show that specific higher dimensional shape information of point cloud data can be recovered by observing lower dimensional hierarchical clustering dynamics. We generate multiple point samples from point clouds and perform hierarchical clustering
Externí odkaz:
http://arxiv.org/abs/2010.03894
Stability of persistence diagrams under slight perturbations is a key characteristic behind the validity and growing popularity of topological data analysis in exploring real-world data. Central to this stability is the use of Bottleneck distance whi
Externí odkaz:
http://arxiv.org/abs/2010.00371
Autor:
Alindayu, Ricardo C., II, Licnachan, Lance Oliver C., Luzadas, Ramgem L., Ignacio, Paul Samuel P., Onda, Deo Florence L.
Publikováno v:
In Ocean and Coastal Management 1 September 2023 243
Atrial Fibrillation is a heart condition characterized by erratic heart rhythms caused by chaotic propagation of electrical impulses in the atria, leading to numerous health complications. State-of-the-art models employ complex algorithms that extrac
Externí odkaz:
http://arxiv.org/abs/1911.12253
Autor:
Tabañag, Ian Dominic F., Mendoza, Merryl Lynch G., Samimi , Almayra M., Saba, Marc Yondell S., Ignacio, Paul Samuel P., Onda, Deo Florence L.
As one of the top contributors of marine plastic litter in the world’s oceans, the Philippines, having recognized the seriousness of this problem has adopted a National Plan of Action for the Prevention, Reduction, and Management of Marine Litter (
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::17a034c569567566d59e59c99ed636c5
Network centrality measures are concerned with evaluating the importance of nodes, paths, or cycles based on directed or reciprocal interactions inherent within graph structures encoded by vertices and edges. To accommodate higher-order connections b
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::195cd37d5b72287b6b6d0bc6a6f4b4f5
http://arxiv.org/abs/2208.05565
http://arxiv.org/abs/2208.05565
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