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National Repository of Grey Literature

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	Investigating very high-frequency oscillations phenomena in human brain Kolajová, Martina ; Cimbálník, Jan (referee) ; Klimeš, Petr (advisor) Identifikace zóny vzniku záchvatu (SOZ) – oblasti mozku, kde začínají záchvaty – je klíčová pro úspěch chirurgické resekce epileptického ložiska. Význam vysokých vysokofrekvenčních oscilací (VHFO) spočívá v jejich roli jako více specifického biomarkeru této nemoci, přestože mechanismus jejich vzniku zůstává nejasný. Jednotlivé neurony nejsou fyziologicky schopné generovat oscilace v rozsahu VHFO. Je proto předpokládáno, že VHFO zaznamenané makroelektrodami mohou vznikat sumací aktivity různých neuronálních skupin, které pálí asynchronně. Tato diplomová práce se věnuje analýze jevů VHFO s důrazem na jejich vztah k epilepsii. Pomocí metod s využitím měření na mikroelektrodovém poli (MEA) jsou zkoumány mechanismy vzniku VHFO prostřednictvím analýzy dat v programovacím jazyce Python. Detailed record
	Use of Knowledge Discovery for Data from PDF Files Dvořáček, Libor ; Burgetová, Ivana (referee) ; Bartík, Vladimír (advisor) This bachelor thesis deals with the extraction of tables from digitally created pdfs and the subsequent use of the obtained data for data analysis. Methods of dimension reduction and cluster analysis are used. The main content is an analysis of available tools for data extraction in the python language, a description and comparison of the used machine learning methods and implementation of an application that combines all these topics into one functional unit at: http://extraktor.herokuapp.com Detailed record
	Use of Knowledge Discovery for Data from PDF Files Dvořáček, Libor ; Burgetová, Ivana (referee) ; Bartík, Vladimír (advisor) This bachelor thesis deals with the extraction of tables from digitally created pdfs and the subsequent use of the obtained data for data analysis. Methods of dimension reduction and cluster analysis are used. The main content is an analysis of available tools for data extraction in the python language, a description and comparison of the used machine learning methods and implementation of an application that combines all these topics into one functional unit at: http://extraktor.herokuapp.com Detailed record

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