Zobrazeno 1 - 10
of 236
pro vyhledávání: '"Visualization systems and tools"'
Autor:
Darius Coelho, Bhavya Ghai, Arjun Krishna, Maria Velez-Rojas, Steve Greenspan, Serge Mankovski, Klaus Mueller
Publikováno v:
Analytics, Vol 3, Iss 3, Pp 255-275 (2024)
Data visualization has entered the mainstream, and numerous visualization recommender systems have been proposed to assist visualization novices, as well as busy professionals, in selecting the most appropriate type of chart for their data. Given a d
Externí odkaz:
https://doaj.org/article/c7b66688bfea468c9da797cc6cc47284
Publikováno v:
Visual Informatics, Vol 6, Iss 1, Pp 47-55 (2022)
Acoustic quality detection is vital in the manufactured products quality control field since it represents the conditions of machines or products. Recent work employed machine learning models in manufactured audio data to detect anomalous patterns. A
Externí odkaz:
https://doaj.org/article/328bf6275fed4e899e6b6f4a54eaa592
Akademický článek
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Publikováno v:
SoftwareX, Vol 17, Iss , Pp 100964- (2022)
Provenance research has gained attention in recent years. While this initially gave rise to many proprietary solutions, more recently some free libraries have been released that enable provenance tracking in almost any web application. In this regard
Externí odkaz:
https://doaj.org/article/828c0c56d8bc404f970cd5247aa27353
Akademický článek
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Akademický článek
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Publikováno v:
Computer Graphics Forum
Computer Graphics Forum, 2023, 42 (1), pp.290-304. ⟨10.1111/cgf.14731⟩
Computer Graphics Forum, 2023, 42 (1), pp.290-304. ⟨10.1111/cgf.14731⟩
International audience; We present ComBiNet, a visualization, query, and comparison system for exploring bipartite multivariate dynamic social networks. Historians and sociologists study social networks constructed from textual sources mentioning eve
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a01a5e90642a9fc99d328f8f8b743e02
https://doi.org/10.1111/cgf.14731
https://doi.org/10.1111/cgf.14731
Autor:
Lars Nonnemann, Marius Hogräfer, Martin Röhlig, Heidrun Schumann, Bodo Urban, Hans-Jörg Schulz
Publikováno v:
Nonnemann, L, Hogräfer, M, Röhlig, M, Schumann, H, Urban, B & Schulz, H-J 2022, ' A Data-Driven Platform for the Coordination of Independent Visual Analytics Tools ', Computers & Graphics, vol. 106, pp. 152-160 . https://doi.org/10.1016/j.cag.2022.05.023
Visual analysis of unknown data requires the combined use of various functions that are often part of standalone visual analytics (VA) tools. Performing cross-tool visual analysis with standalone VA tools, however, is a challenging and cumbersome end
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::03498171ab5aa6a1b240108a89cd0510
https://doi.org/10.1016/j.cag.2022.05.023
https://doi.org/10.1016/j.cag.2022.05.023
© 2022 Elsevier. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/ The last two decades have exhibited a profound transformation of traditional urban mobility patterns partl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::de020b848e9f0775da6af62aa9026bcc
https://hdl.handle.net/2117/379644
https://hdl.handle.net/2117/379644
Publikováno v:
2022 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct).
The large and increasing amount of scientific literature makes it difficult for researchers to analyse and understand relations between topics even in their specific sub-field. Neuroscience researchers are interested in relations between, for example
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6140c28b1ae9ca33f3f968d895683104
https://doi.org/10.1109/ismar-adjunct57072.2022.00099
https://doi.org/10.1109/ismar-adjunct57072.2022.00099