Zobrazeno 1 - 6
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pro vyhledávání: '"Mariana Goranova"'
Autor:
Mariana Goranova
One of the challenges of modern science is data exploration (eScience) that synthesizes theory, experimentation, and computation with advanced data management and statistics. The scientific community produces and consumes massive volumes of unstructu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bfab4328669124d416561664d3319641
https://doi.org/10.4018/978-1-4666-9840-6.ch095
https://doi.org/10.4018/978-1-4666-9840-6.ch095
Publikováno v:
Proceeding of the Bulgarian Academy of Sciences. 66
Modern data intensive science involves heterogeneous and structured data sets in sophisticated data formats. Scientists need access to distributed computing and data sources and support for remote access to expensive, multinational specialized instru
Publikováno v:
DeSE
When dealing with complex systems design and application the notion of ontologies helps the process of application integration. To solve the problems with discover, interpret and reuse data we have to recognize ontology as a concept that formalizes t
Publikováno v:
EUROCON
The purpose of the automatic conversion of scientific data into canonical format is to provide a link between raw representation of data and database schemas. On the basis of these concepts Web services are developed for automatic XML description. Th
Publikováno v:
2010 Fifth International Conference on Internet and Web Applications and Services.
The scientific computing manages massive amounts of very large data sets. The development of description of the format, structure and semantic content of data is essential for the automatic manipulation of data. The aim of this paper is to define an
Autor:
Kalcheva-Yovkova, Elena
The dissertation presents new effective combined approaches for automated segmentation of anatomical structures (internal organs and tissues) from series of axial tomographic images in DICOM format. Several stages are defined for each of the approach
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______9626::aac4b822f802cf6837a84eb2a35892b8
https://hdl.handle.net/20.500.12641/16874
https://hdl.handle.net/20.500.12641/16874