Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Martin Prášek"'
Autor:
Martin Kotyrba, Hashim Habiballa, Eva Volná, Robert Jarušek, Pavel Smolka, Martin Prášek, Marek Malina, Vladěna Jaremová, Jan Vantuch, Michal Bar, Petr Kulišťák
Publikováno v:
Mathematics, Vol 11, Iss 1, p 7 (2022)
This article focuses on developing an expert system applicable to the area of neurocognitive rehabilitation. The benefit of this interdisciplinary research is to propose an expert system that has been adapted based on real patients’ results from th
Externí odkaz:
https://doaj.org/article/7b9eb7552ce14c6db29ef1270034da99
Autor:
Stanislav Ožana, Michal Burda, Michal Hykel, Marek Malina, Martin Prášek, Daniel Bárta, Aleš Dolný
Publikováno v:
PLoS ONE, Vol 14, Iss 1, p e0210370 (2019)
Citizen science and data collected from various volunteers have an interesting potential in aiding the understanding of many biological and ecological processes. We describe a mobile application that allows the public to map and report occurrences of
Externí odkaz:
https://doaj.org/article/598deb7065784df29bd680eb3bbd1243
Publikováno v:
INTERNATIONAL CONFERENCE OF NUMERICAL ANALYSIS AND APPLIED MATHEMATICS ICNAAM 2020.
Autor:
Martin Kotyrba, Hashim Habiballa, Eva Volna, Robert Jarusek, Pavel Smolka, Martin Prasek, Marek Malina, Vladena Jaremova
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 23, Iss 1, Pp 1-14 (2023)
Abstract This article focuses on the development of algorithms for a smart neurorehabilitation system, whose core is made up of artificial neural networks. The authors of the article have proposed a completely unique transfer of ACE-R results to the
Externí odkaz:
https://doaj.org/article/66b4eb71b51f45aeaae10020b41b810e
Autor:
Marek Malina, Dan Bárta, Stanislav Ožana, Michal Hykel, Aleš Dolný, Martin Prášek, Michal Burda
Publikováno v:
PLoS ONE, Vol 14, Iss 1, p e0210370 (2019)
Citizen science and data collected from various volunteers have an interesting potential in aiding the understanding of many biological and ecological processes. We describe a mobile application that allows the public to map and report occurrences of