Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Adel Chaibi"'
Autor:
Dirk Krücker, Sofia Vallecorsa, Valeriu Codreanu, Hans Pabst, Vikram A. Saletore, Kerstin Borras, Adel Chaibi, Florian Rehm
Publikováno v:
Setúbal, Portugal : SCITEPRESS-Science and Technology Publications 251-258 (2021). doi:10.5220/0010245002510258
ICPRAM 2021 : proceedings of the 10th International Conference on Pattern Recognition Applications and Methods : online streaming, February 4-6, 2021 / sponsored by: INSTICC-Institute for Systems and Technologies of Information, Control and Communication ; edited by Maria De Marsico, Gabriella Sanniti di Baja, Ana Fred
ICPRAM 2021 : proceedings of the 10th International Conference on Pattern Recognition Applications and Methods : online streaming, February 4-6, 2021 / sponsored by: INSTICC-Institute for Systems and Technologies of Information, Control and Communication ; edited by Maria De Marsico, Gabriella Sanniti di Baja, Ana Fred10. International Conference on Pattern Recognition Applications and Methods, ICPRAM 2021, online, 2021-02-04-2021-02-06
ICPRAM 2021 : proceedings of the 10th International Conference on Pattern Recognition Applications and Methods : online streaming, February 4-6, 2021 / sponsored by: INSTICC-Institute for Systems and Technologies of Information, Control and Communication ; edited by Maria De Marsico, Gabriella Sanniti di Baja, Ana Fred
ICPRAM 2021 : proceedings of the 10th International Conference on Pattern Recognition Applications and Methods : online streaming, February 4-6, 2021 / sponsored by: INSTICC-Institute for Systems and Technologies of Information, Control and Communication ; edited by Maria De Marsico, Gabriella Sanniti di Baja, Ana Fred10. International Conference on Pattern Recognition Applications and Methods, ICPRAM 2021, online, 2021-02-04-2021-02-06
Deep learning is finding its way into high energy physics by replacing traditional Monte Carlo simulations. However, deep learning still requires an excessive amount of computational resources. A promising approach to make deep learning more efficien
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::73b72ff64f1cd8529716d324f3520cf8
https://bib-pubdb1.desy.de/record/457165
https://bib-pubdb1.desy.de/record/457165
Autor:
Damian Podareanu, Vikram A. Saletore, Valeriu Codreanu, Jeroen Bédorf, Penny Xuran Qian, Maxwell Xu Cai, Adel Chaibi
Publikováno v:
DLS@SC
Galaxy mergers, the dynamical process during which two galaxies collide, are among the most spectacular phenomena in the Universe. During this process, the two colliding galaxies are tidally disrupted, producing significant visual features that evolv
Autor:
Parsons, Amanda1, Viljoen, Salomé2
Publikováno v:
Columbia Law Review. May2024, Vol. 124 Issue 4, p993-1079. 87p.