Zobrazeno 1 - 10
of 75
pro vyhledávání: '"meta-database"'
Publikováno v:
Resilient Cities and Structures, Vol 3, Iss 1, Pp 20-43 (2024)
Traditionally, nonlinear time history analysis (NLTHA) is used to assess the performance of structures under future hazards which is necessary to develop effective disaster risk management strategies. However, this method is computationally intensive
Externí odkaz:
https://doaj.org/article/e2ae0a2f96374a84ade53c2d8e537203
Akademický článek
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Autor:
Elias Koukoutsis, Constantin Papaodysseus, George Tsavdaridis, Nikolaos V. Karadimas, Athanasios Ballis, Eirini Mamatsi, Athanasios Rafail Mamatsis
Publikováno v:
Algorithms, Vol 13, Iss 12, p 341 (2020)
Recently, very large-scale decision support systems (DSSs) have been developed, which tackle very complex problems, associated with very extensive and polymorphic information, which probably is geographically highly dispersed. The management, updatin
Externí odkaz:
https://doaj.org/article/cb52d717258b4d04a96c334e346b34de
Autor:
Danielewska A, Clarke N, Olejnik J, Hansen K, Vries W, Lundin L, Tuovinen J, Fischer R, Urbaniak M, Paoletti E
Publikováno v:
iForest - Biogeosciences and Forestry, Vol 6, Iss 1, Pp 1-9 (2013)
Of a wide variety of international forest research and monitoring networks, several networks are dedicated to the effects of climate change on forests, while the effects of anthropogenic pollutants on forests have been a major area for both monitorin
Externí odkaz:
https://doaj.org/article/91276636df33400eb70e90739e35dc4d
Publikováno v:
PeerJ, Vol 3, p e717 (2015)
Staphylococcus aureus is a commensal organism that primarily colonizes the nose of healthy individuals. S. aureus causes a spectrum of infections that range from skin and soft-tissue infections to fatal invasive diseases. S. aureus uses a large numbe
Externí odkaz:
https://doaj.org/article/f728be2059764c1bb970a06b24b26150
Autor:
Nikolaos V. Karadimas, Constantin Papaodysseus, Elias Koukoutsis, George Tsavdaridis, Athanasios Ballis, Athanasios Rafail Mamatsis, Eirini Mamatsi
Publikováno v:
Algorithms
Volume 13
Issue 12
Algorithms, Vol 13, Iss 341, p 341 (2020)
Volume 13
Issue 12
Algorithms, Vol 13, Iss 341, p 341 (2020)
Recently, very large-scale decision support systems (DSSs) have been developed, which tackle very complex problems, associated with very extensive and polymorphic information, which probably is geographically highly dispersed. The management, updatin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a8db3fa2b11e1baca181d35bb2bc5c4e
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Autor:
Eleanor L. Woodhouse, Joshua L. Ratcliffe, Roxane Andersen, Andrew Suggitt, Ilya Maclean, Richard J. Payne
Publikováno v:
Open Quaternary, Vol 3, p 2 (2017)
Compilations of previous studies provide researchers with a source of valuable secondary data for re-analysis, an access route to identify relevant literature and an opportunity to systematically evaluate the research which is conducted and published
Externí odkaz:
https://doaj.org/article/77bbae8a1126441481f701bc6d3d5fbd
Autor:
Anne Margarian
Publikováno v:
Forum: Qualitative Social Research, Vol 15, Iss 3 (2014)
In many organizations, and among many researchers, there is considerable resistance to the systematic large scale storage of survey data. Thereby, not only data storage but also work-flow organization and documentation are often left to the individua
Externí odkaz:
https://doaj.org/article/9a4fd4ffbaf045e18ba2d0cb57fdacaf
Publikováno v:
Briefings in Bioinformatics
Multiple resources currently exist that predict orthologous relationships between genes. These resources differ both in the methodologies used and in the species they make predictions for. The HGNC Comparison of Orthology Predictions (HCOP) search to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f8ef29130fef9302a658cdb4674506bb
https://doi.org/10.1093/bib/bbab155
https://doi.org/10.1093/bib/bbab155