Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Ferran Arque"'
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Publikováno v:
LatinX in AI at International Conference on Machine Learning 2021.
We study a Wasserstein attraction approach for solving dynamic mass transport problems over networks. In the transport problem over networks, we start with a distribution over the set of nodes that needs to be “transported” to a target distributi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8b5788f62d0a56e1c3f2d7fb000f0c9d
https://doi.org/10.52591/lxai202107246
https://doi.org/10.52591/lxai202107246
Publikováno v:
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
Universitat Politècnica de Catalunya (UPC)
© 2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::09e2e51c3d906b589ac2fe9ae8ab2510
https://hdl.handle.net/2117/362400
https://hdl.handle.net/2117/362400
Autor:
Kateřina Apolínová, Ferran Arqué Pérez, Sylvia Dyballa, Benedetta Coppe, Nadia Mercader Huber, Javier Terriente, Vincenzo Di Donato
Publikováno v:
Frontiers in Cell and Developmental Biology, Vol 12 (2024)
Cardiovascular disease is the leading cause of death worldwide with myocardial infarction being the most prevalent. Currently, no cure is available to either prevent or revert the massive death of cardiomyocytes that occurs after a myocardial infarct
Externí odkaz:
https://doaj.org/article/313e6131187d435e888bdda569be72ff