Zobrazeno 1 - 10
of 28
pro vyhledávání: '"Miloš Kudělka"'
Cross-Disease Innate Gene Signature: Emerging Diversity and Abundance in RA Comparing to SLE and SSc
Autor:
Anna Petrackova, Pavel Horak, Martin Radvansky, Martina Skacelova, Regina Fillerova, Milos Kudelka, Andrea Smrzova, Frantisek Mrazek, Eva Kriegova
Publikováno v:
Journal of Immunology Research, Vol 2019 (2019)
Overactivation of the innate immune system together with the impaired downstream pathway of type I interferon-responding genes is a hallmark of rheumatoid arthritis (RA), systemic lupus erythematosus (SLE), and systemic sclerosis (SSc). To date, limi
Externí odkaz:
https://doaj.org/article/5178e94c9f9840feae72344f1f0ddd59
Autor:
Martin Kopka, Miloš Kudělka
Publikováno v:
Information, Vol 10, Iss 3, p 92 (2019)
Information systems support and ensure the practical running of the most critical business processes. There exists (or can be reconstructed) a record (log) of the process running in the information system. Computer methods of data mining can be used
Externí odkaz:
https://doaj.org/article/9117b413be764519ba7f810c1cd53e06
Autor:
Emanuel Dopater, Miloš Kudělka
Publikováno v:
Complex Networks and Their Applications XI ISBN: 9783031211300
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f72c52a535a6eb594a0412bbc6c21a8d
https://doi.org/10.1007/978-3-031-21131-7_27
https://doi.org/10.1007/978-3-031-21131-7_27
Publikováno v:
Applied Network Science, Vol 9, Iss 1, Pp 1-22 (2024)
Abstract Networks provide an understandable and, in the case of small size, visualizable representation of data, which allows us to obtain essential information about the relationships between pairs of nodes, e.g., their distances. In visualization,
Externí odkaz:
https://doaj.org/article/efc3f9336c2d490e92499103e6baec54
Publikováno v:
Applied Network Science, Vol 8, Iss 1, Pp 1-21 (2023)
Abstract Hospital databases provide complex data on individual patients, which can be analysed to discover patterns and relationships. This can provide insight into medicine that cannot be gained through focused studies using traditional statistical
Externí odkaz:
https://doaj.org/article/a4649f5c59a94eb6a634e5f91152ab1d
Publikováno v:
Logic Journal of IGPL. 20:634-643
The analysis of social networks is concentrated mainly on uncovering hidden relations and properties of network nodes (vertices). Most of the current approaches are focused on different network types and different network coefficients. This article i
Autor:
Vratislava Mošová, Miloš Kudělka
Publikováno v:
Journal of Technology and Information. 1:32-37
V nasem clanku se zaměřujeme na výukove postupy, ktere funguji. Inspirujeme se u různých autorů a snažime se najit spolecne rysy, ktere mohou pomoci zejmena těm, kteři uci, a přitom nejsou studovanými uciteli. Nezapominame přitom na techn
The Third International Conference on Intelligent Human Computer Interaction 2011 (IHCI 2011) was held at Charles University, Prague, Czech Republic from August 29 - August 31, 2011. This conference was third in the series, following IHCI 2009 and IH
Publikováno v:
Innovations in Bio-inspired Computing and Applications ISBN: 9783319017808
IBICA
IBICA
This paper presents results of the finding and the visualization cluster in the hourly recorded data of power from the small photovoltaic power station. Our main aim was to evaluate the use of Sammon’s projection for visualizing clusters in the dat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5cc5bc6f35ec735b3774f1e39b9c5a97
https://doi.org/10.1007/978-3-319-01781-5_23
https://doi.org/10.1007/978-3-319-01781-5_23
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9783319081557
IBICA
IBICA
The use of solar energy has undergone rapid development in recent years. Photovoltaic power stations (PVPS) are often used as a source of power for smart off–grid houses. Integration of this kind of energy source is challenging because it is a sour
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f3081ecafe59b41bd2b5cb0403f6ed8c
https://doi.org/10.1007/978-3-319-08156-4_38
https://doi.org/10.1007/978-3-319-08156-4_38