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pro vyhledávání: '"Emanouil Atanasso"'
Publikováno v:
Digital Presentation and Preservation of Cultural and Scientific Heritage, Vol 14 (2024)
In short, the current status of the HPC ecosystem in Bulgaria includes diverse modern hardware (including two supercomputers from the TOP500 list – Discoverer and HEMUS, as well as multiple HPC clusters), and extensive expertise in HPC and the adja
Externí odkaz:
https://doaj.org/article/4de02e1b31fb41868b8823c7a94c6459
Publikováno v:
Digital Presentation and Preservation of Cultural and Scientific Heritage, Vol 13 (2023)
Three years ago a new European initiative started: establishing a network of Centres of Competence in HPC in the European countries through the project EuroCC (2020-2022) in its second phase EuroCC2 (2023-2025). The goal is to accelerate the improvem
Externí odkaz:
https://doaj.org/article/25249b9d7cdd4175824eed8f019258d4
Autor:
George Kakaletris, Eva Sciacca, Jean-Karim Hériché, Wim Hugo, Emanouil Atanasso, Svetlozar Yordanov
This document is one of the deliverables of the EOSC Association (EOSC-A) Task Force on “Technical Interoperability of Data and Services”. Its main aim is to highlight a number of design principles and suggestions that increase interoperability a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2f1e60f2453363b873ce2b26e18e7193
Publikováno v:
Digital Presentation and Preservation of Cultural and Scientific Heritage, Vol 12 (2022)
The paper gives an overview on the Bulgarian participation in the einfrastructure part of the NI4OS-Europe project, funded by EC through H2020 program. NI4OS-Europe team has identified a set of necessary services and the corresponding policies that r
Externí odkaz:
https://doaj.org/article/269f63c173554de2ad091c72ead6b3b4
Publikováno v:
Digital Presentation and Preservation of Cultural and Scientific Heritage, Vol 12 (2022)
EU member states and the European commission realized the importance of High Performance Computing (HPC) and its applications in High- Performance Data Analytics (HPDA) and Artificial Intelligence (AI) and provided substantial funding for buying hard
Externí odkaz:
https://doaj.org/article/8088774d8f4e4d72b9d7d8ae81f62155
Publikováno v:
Digital Presentation and Preservation of Cultural and Scientific Heritage, Vol 11 (2021)
Support Vector Machines are a widely used tool in Machine Learning. They have some important advantages with regards to the more popular Deep Neural Networks. For the problem of image classification, multiple SVMs may be used and the issue of finding
Externí odkaz:
https://doaj.org/article/24f6d42ef3764e8c86fcbf8254ec0fd0