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Classification with Use of Neural Networks in the Keras Environment
Pyšík, Michal ; Burgetová, Ivana (referee) ; Bartík, Vladimír (advisor)
Tato práce zkoumá problematiku klasifikace pomocí umělých neuronových sítí s využitím knihovny Keras, poskytující vysokoúrovňové rozhraní pro práci s umělými neuronovými sítěmi v programovacím jazyce Python. Cílem práce je prozkoumat rozsáhlé možnosti této knihovny v oblasti klasifikace a porovnat různé typy a topologie umělých neuronových sítí formou experimentů na vybraných datasetech, což je doplněno jednoduchou experimentální aplikací sloužící především jako rozhraní pro tyto experimenty.
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Application for Communication between Volunteers and Seniors
Pomkla, František ; Hynek, Jiří (referee) ; Bartík, Vladimír (advisor)
The Moudrá Síť app provides a platform for seniors and volunteer assistants to communicate and help seniors solve digital technology problems. The main goal of this project is to educate seniors and to increase their digital literacy. This thesis focuses also on technologies for web application development, the use of CRM systems for database development, Vercel web hosting, and web accessibility. Next, the basic principles and technologies for creating chatbots are presented. The result of the thesis is a functional web application already tested by seniors as well as a comparison of two chatbot solutions based on the GPT model and the Dialogflow platform using its knowledge base.
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Knowledge Discovery from Spatio-Temporal Data
Liptáková, Daša ; Burgetová, Ivana (referee) ; Bartík, Vladimír (advisor)
This thesis deals with knowledge discovery from spatio-temporal data. Firstly, it describes the general principles of knowledge discovery and then knowledge discovery from spatio-temporal data, where it mainly focuses on methods for detecting outlying trajectories of moving objects. In the next section, the thesis describes the design and implementation of the mining task and demonstration application. Finally, several experiments are performed over three different datasets.
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Layout-based Data Extraction from Documents
Sedláček, Martin ; Bartík, Vladimír (referee) ; Burget, Radek (advisor)
This thesis deals with automated data extraction from medical reports in PDF format based on document layout analysis. The main content of the thesis is an introduction to data extraction, a comparison of existing tools and a presentation of the design and requirements of the developed tool, which will be based on the FitLayout application framework. The thesis then describes the actual implementation of the tool in Java and comments on the results achieved by the tool on real data.
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Machine Learning Methods for Web Documents
Katrňák, Josef ; Bartík, Vladimír (referee) ; Burget, Radek (advisor)
This work aims to use machine learning techniques for the classification of specific parts of web page content. First, current methods for representing and classifying web page content using machine learning methods are described. For web page representation, the thesis focuses on the experimental tool FitLayout, whose visual representation of web pages serves as input for further processing and subsequent training of machine learning models. The work results in trained models that classify specific parts of the web page content. The model architecture is based on graph neural networks. For the experiments, a dataset of publicly available websites containing pages of products sold online is used. The advantage of the proposed and implemented approach is information extraction independent of the structure and language of a web page.
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K-Nearest Neighbour Search Methods
Cigánik, Marek ; Bartík, Vladimír (referee) ; Burgetová, Ivana (advisor)
The thesis describes the basic concept of the K-nearest neighbors algorithm and its connection with the human concept of object similarity. Concepts and key ideas such as the distance function or the curse of dimensionality are elaborated. The work includes a detailed description of the methods KD-Tree, Spherical Tree, Locality-Sensitive Hashing, Random Projection Tree and families of algorithms based on the nearest neighbor graph. An explanation of the idea with visualizations, pseudocodes and asymptotic complexities is provided for each method. The methods were subjected to experiments and both basic and more advanced metrics were measured and appropriate use cases for individual methods were evaluated.
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Use of Data Mining for Payment Identification
Bartoš, Stanislav ; Burget, Radek (referee) ; Bartík, Vladimír (advisor)
This master thesis concentrates on design and implementation of a system for payment identification, even if the reliable identifier (e.g. variable symbol) is missing. Data mining techniques, such as classification and prediction, were used as a solution to this problem. This master thesis is company assignment for company "Platební instituce Roger a.s.".
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Extension of a System for Automation of Payments in PSD2
Jůda, Petr ; Rychlý, Marek (referee) ; Bartík, Vladimír (advisor)
The purpose of this thesis is to extend the system of the payment automation process in the company Platební instituce Roger a.s. The thesis is closely linked to a new european payment legislation - the Second Directive on Payment Services (PSD2). The directive introduces a new concept of the so called open banking service which allows the licenced third party providers to control the client's bank account directly through the special banking API. Within this thesis the current state of the process of PSD2 implementation in the Czech Republic has been explored and recorded. Afterwards a new system for the payment automation has been designed and developed. This system enables to interconnect the internal company software of Roger a.s. with API of Komerční banka, Česká spořitelna and Raiffesenbank. The result of this diploma thesis is the program which will be used for inputting and confirming one time payments. It could be also used for downloading the transaction history or the account balance on the company's bank accounts.
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Web Application for Creating of Relational Database Schemas
Országh, Roman ; Burget, Radek (referee) ; Bartík, Vladimír (advisor)
The goal of this work is to make a web application for creating relation database schemas and migration files for PHP framework Laravel. Relation databases can be created by using simple input fields or via pseudo-code, which are then generated into individual files into the Laravel like structure. React.js is used as a front-end of the web application, and PHP Framework Laravel as back-end. The whole application is manageable by simple and intuitive user interface, which contains individual projects which represents database schemas. Created database schemas include all required tables and their defined columns. Web application also offers remote cooperation via web sockets
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