National Repository of Grey Literature 440 records found  1 - 10nextend  jump to record: Search took 0.02 seconds. 
Papillary Renal Cell Carcinoma
Procházková, Kristýna ; Hora, Milan (advisor) ; Macek, Petr (referee) ; Král, Milan (referee)
The Pilsen region suffers the highest incidence of kidney tumours worldwide. Approximately 240 new cases diagnosed as C64 (malignant renal tumours outside the pelvis) were recorded in this region of about 580,000 inhabitants in 2015. Clear renal cell carcinoma has long held first place as the most common tumour, with papillary renal cell carcinoma (pRCC) being the second most frequently operated kidney tumour at the Urology Department of the University Hospital in Pilsen. The 2016 WHO classification of kidney tumours recognizes officially only the stratification of pRCC to type 1 (pRCC1) and type 2 (pRCC2). Unfortunately, the current division does not correspond with knowledge derived from everyday practice. Most clinical trials involving pRCC do not differentiate between the subtypes, adhering only to the official type 1 and 2 divisions and the atypical papillary forms being excluded from their studies. We therefore have to face the question of whether the histological pRCC subtype affects the risk of recurrence, or death, in surgically treated patients. The aim of this dissertation work is to take into consideration also all other papillary types which differ from characterization of pRCC1 and pRCC2. The analyses of a group of patients with surgically treated and histologically verified pRCC at...
Assessment of the 2nd Grade Elementary School Pupils in Ústí nad Labem Region and Their Attitude Towards Physical Education
Cihlář, David ; Fialová, Ludmila (advisor) ; Horkel, Vladimír (referee) ; Kašpar, Ladislav (referee)
Title Assessment of the 2nd Grade Elementary School Pupils in Ústí nad Labem Region and Their Attitude Towards Physical Education Problem Researches and investigations from the recent years have been indicating a decline in a physical activity of children during their free time. This fact is also reflected in physical education lessons, especially at the level of their skills, fitness and performance, but also in their overall interest in this subject. Physical education teachers often solve a fundamental problem in their classes and that is a low motivation of pupils to move. One part of the learning process is also an evaluation where the teacher takes into consideration a number of factors. An objective consideration of all partial factors, for which a student can be evaluated during physical education lessons, into an overall grade is a very complex and difficult process for the teacher. This thesis deals with the assessment in physical education, particularly with an effort to identify those variables that have a significant impact on the overall grade in this school subject. We observe gender and age differences, the relationship of students to physical education, an active attitude to sport outside the school environment, family influence, but also the lifestyle of a student and also the...
Unary Classification of Image Data
Beneš, Jiří ; Petyovský, Petr (referee) ; Horák, Karel (advisor)
The work deals with an introduction to classification algorithms. It then divides classifiers into unary, binary and multi-class and describes the different types of classifiers. The work compares individual classifiers and their areas of use. For unary classifiers, practical examples and a list of used architectures are given in the work. The work contains a chapter focused on the comparison of the effects of hyperparameters on the quality of unary classification for individual architectures. Part of the submission is a practical example of implementation of the unary classifier.
Data Analysis of a Company Producing Medical Supplies
Kulhánková, Monika ; Bartík, Vladimír (referee) ; Burgetová, Ivana (advisor)
This bachelor's thesis deals with the analysis of the company's sales data, specifically the classification of the customer's type according to his sales data. It provides a theoretical introduction to data mining. It describes the classification process and methods for creating classifiers and presents the CRISP-DM model. This thesis describes the provided data sets, from which the relevant attributes are selected. The data are preprocessed and used in the creation and testing of classification models. The result of this thesis is a comparison of the achieved results.
Sentiment Analysis of Czech and Slovak Social Networks and Web Discussions
Sojka, Matěj ; Dočekal, Martin (referee) ; Smrž, Pavel (advisor)
Thanks to digitalization, the spread of opinions in the population has accelerated sharply in the recent years, however the need to understand them has not changed. The goal of this thesis was to create a system for automatic data collection from social media and web discussions and sentiment analysis in Czech and Slovak language. The system has a web interface for visualizing results and configuring data analysis. The system is capable of offering topics to the user that it considers to occur in the selected data and group posts based on user-defined opinions.
Application-based Anomalous Communication Detection
Dostál, Michal ; Homoliak, Ivan (referee) ; Očenášek, Pavel (advisor)
This bachelor thesis deals with the analysis, design and implementation of a system for detecting anomalous network communication activities using high-level characteristics. The thesis contains a theoretical basis for the detection of anomalies using countries, autonomous systems and applications that are used to communicate. It also contains information about the techniques and methods of machine learning needed for implementation. The practical part describes the design, use and implementation of individual technologies. The result of this work is detection based on multiple machine learning methods, mostly classification.
Brno Communication Agent
Křištof, Jiří ; Fajčík, Martin (referee) ; Smrž, Pavel (advisor)
The aim of this thesis is the implementation of a communication agent, which provides information about Brno. The communication agent uses three - tier architecture . For the question answering , machine learning and neural network techniques are used . User tests determined the success rate 84 %. 58 % of the primary users were satisfied with the system. Main benefit of the work is facilitating the retrieving of information about Brno for its residents and visitors .
Follow-up education and care for people with low function autism
Sedláčková, Dorota ; Ulrichová, Monika (advisor) ; Janečková, Hana (referee)
The bachelor's thesis entitled Follow-up education and care for people with low-function autism deals with the issue of autism spectrum disorders and the possibilities of placement or employment of specific people with this diagnosis after completing compulsory schooling. The work consists of two main parts. This is a theoretical part, which explains the basic concepts of autism spectrum disorders using the literature. It also deals with a historical overview, possible causes of PAS, diagnostic criteria and classification. It also deals with the education system in the Czech Republic and the possibilities of people with ASD in the field of education. Last but not least, it discusses the types of aftercare and the possibilities of people with autism spectrum disorders in the field of housing or employment. The second part of the bachelor's thesis is the practical part, which uses case studies to demonstrate and compare the possibilities of individual people with a diagnosis of autism after compulsory schooling and points to unbalanced conditions of one diagnosis, but different abilities.
Evaluation and classification of pupils in Art education at primary school
Paulíčková, Kateřina ; Richterová, Magdalena (advisor) ; Linková, Marie (referee)
This diploma thesis deals with the issue of evaluation and classification of pupils in art education. The aim of the diploma thesis is to describe the form of evaluation and classification of art education at the second stage of primary school for selected teachers. Following the aim of the work, the following questions were asked: How do teachers evaluate pupils in art education? Does their evaluation subsequently correspond to the classification? According to art teachers, is classification necessary? What do teachers emphasize when evaluating a student's artistic performance? Within this work, qualitative research was performed. Selected research methods include observation of lessons of selected art teachers and subsequent interviews with them. Each of the teachers teaches art education and another subject at primary school. The main conclusions of the research include the finding that according to the respondents, evaluation is an activity that helps teachers in critical evaluation of student work, evaluation criteria and form of evaluation are not uniform among respondents and ideas about evaluation and classification often differ from the observed reality. Furthermore, respondents evaluate and classify in different ways. However, they clearly agreed on the importance of classification in art...
Evaluation of forest vegetation based on time series of remote sensing data
Laštovička, Josef
Příloha k disertační práci: Abstrakt v AJ (Mgr. Josef Laštovička) Abstract This dissertation thesis deals with the study of forest ecosystems in the central Europe with the time series of multispectral optical satellite data. These forest ecosystems have been influenced by biotic and abiotic disturbances for the last decade. The time series of the satellite data with high spatial resolution allow the detection and analysis of forest disturbances. This thesis is mainly focused primally on free available Landsat and Sentinel-2 data, these two data types were compared. From methods, the difference time series analyses / algorithms were used. The whole thesis can be divided into two main parts. The first one analyses usability of classifiers for detection of forest ecosystems with per-pixel and sub-pixel methods. Specifically, the Neural Network, the Support Vector Machine and the Maximum Likelihood per-pixel classifiers were used and compared for different types of data (for data with high spatial resolution - Landsat or Sentinel-2; very high spatial resolution - WorldView-2) and for classification of protected forest areas. The Support Vector Machine were selected as the most suitable method for forest classifications (with most accurate outputs) from the list of selected per-pixel classifiers. Also, Spectral...

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