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Generative Neural Network for Creating Synthetic Photorealistic Images
Hora, Adam ; Přinosil, Jiří (referee) ; Říha, Kamil (advisor)
The main objective of this work is to select and design a neural network model that will be able to generate realistic images thematically fitting the selected dataset. The architecture used for the solution is Deep convolutional generative adversarial network. This network is than implemented in the Python programming language using the Tensorflow application programming interface and its included interface Keras. Finally, the model is trained on the selected dataset and the resulting generated images are presented. The final model and individual images are then evaluated using various quality assessment methods.
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Current trends in enterprise resource planning systems in the era of 4.0
KARLÍČEK, Pavel
This thesis analyses current trends in ERP systems from three perspectives. The first perspective is the mapping of scientific articles dealing with the given issue and the classification of the most frequently researched trends in Industry 4.0. Next view is the outlook of analytical companies on the most current directions of development in corporate information systems. Finally, the last perspective is the view of the customers themselves, i.e. key users of ERP systems, who are represented in the survey by local administrators. In the conclusion, individual points of view are compared and evaluated. Research, calculations and graphs point to the fact that the greatest development potential in ERP systems is the integration of artificial intelligence, while other trends have already exhausted their potential to a certain extent.
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Artificial Intelligence Poetry
Jurečka, Otakar ; Zmrzlá, Petra (referee) ; Kotásek, Miroslav (advisor)
Tato bakalářská práce podává přehled o programech, které jsou určeny k psaní básnických textů. Obsahuje informace o tom, jak se s jednotlivými představenými aplikacemi pracuje, a jejich schopnosti jsou demonstrovány jejich zkušebním použitím. Tyto vygenerované texty jsou analyzovány. Je také vysvětleno fungování těchto počítačových programů. Dále je také zmíněna historie umělé inteligence, její prvotní myšlenka i její novější technologický vývoj.
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Use of fuzzy logic for banking risk assessment
Maňková, Veronika ; Bobalová, Martina (referee) ; Janková, Zuzana (advisor)
The thesis focuses on the use of fuzzy logic in the banking sector for credit risk assessment. Artificial intelligence, especially the fuzzy logic method, is used to construct a model for evaluating whether a client poses a threat to the bank or not based on their creditworthiness. The determination of a client's creditworthiness involves the evaluation of both financial and non-financial indicators. The paper further describes the use of the MATLAB tool for the development and implementation of this model. The resulting model allows banks to better understand credit risk and enables them to make more informed lending decisions.
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Automatic diagnosis of the 12-lead ECG using deep learning
Blaude, Ondřej ; Smital, Lukáš (referee) ; Provazník, Valentine (advisor)
The aim of this diploma thesis is to investigate the problematics of automatic ECG diagnostics, namely on twelve-lead recordings. In the first chapter the heart and its electrical activity measurement is described shortly. In addition to that, the abnormalities which are going to be classified in this thesis are also briefly described. In the second chapter, it is described how the ECG was diagnosed earlier, by classical methods that preceded deep learning. Some of the shortcomings that the classical methods have compared to deep learning are also described here. The third part already pays attention to deep learning itself, and its contribution and advantages compared to classical methods. Convolutional neural networks and their individual blocks are also described here, later attention is paid to selected architectures that were used in some studies. The fourth chapter already focuses on the practical part, in which the data used from the PhysioNet database, the proposed algorithm and its implementation are described in more detail. In the fifth chapter the results are discussed and compared to the corresponding publications.
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Classification of board defects in semiconductor manufacturing
Jašek, Filip ; Vágner, Martin (referee) ; Dřínovský, Jiří (advisor)
This diploma thesis focuses on detecting defects in semiconductor wafer manufacturing. It explores methods for identifying faulty chips and controlling yield during production. To classify defects machine learning techniques are used. Initially, ResNet18 architecture was used for inference, but low accuracy was attributed to limited input data. Transfer learning with ResNet50v2 was then attempted, resulting in improved metric with different dataset. Hyperparameter tuning and data augmentations were also explored. The study found that autoencoders for data compression during inference increased speed but led to degraded evaluation metrics.
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Marketing Strategy Proposal for the Selected Company
Štancl, Jan ; Ulč, Jakub (referee) ; Chlebovský, Vít (advisor)
The thesis deals with the analysis of the 3D graphics market, primarily searching for trends, challenges, opportunities, competition analysis, and market segmentation, but also the analysis of a selected company. This is followed by the selection of suitable segments, setting company goals, and proposing an appropriate marketing strategy, human resource development, strategy implementation, financial costs of the strategy, and evaluation for the selected company.
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Possibilities of using artificial intelligence in leisure activities for seniors
KOPPELOVÁ, Kateřina
This bachelor thesis deals with the use of artificial intelligence in the everyday life of seniors. It focuses on current applications of AI tools, identifies areas of application, and identifies possibilities for future developments. The thesis includes a research probe that examines seniors' interaction with the artificial intelligence communication tool Bing Copilot and explores how seniors perceive these tools and how they feel when using them. It highlights the importance of ethical considerations when using these tools and adapting their design to the needs and preferences of seniors. The paper also raises the question of developing new theories about human interaction with AI.
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Artificial Intelligence as a Challenge for the Justification of Human Rights
Florian, Oldřich Tristan ; Koloušek, Martin (referee)
Artificiál Intělligěncě ás á Chállěngě for thě Justificátion of Humán Rights Abstráct Thěrě is á long-stánding děbátě ábout thě morál státus of ánimáls, humáns in á věgětátivě státě, or ěmbrýos, ánd bý ěxtěnsion ábout thěir possiblě rights. In thě ěrá of thě risě of ártificiál intělligěncě, thěsě quěstions ěxtěnd to robots. This těxt áttěmpts to rělátě thěsě děbátěs to thě fiěld of humán rights thěoriěs. Humán rights thěoriěs árě ábout justifýing humán rights in morál sěnsě, ánd this dissěrtátion ěxáminěs whěthěr ádváncěs in ártificiál intělligěncě máý problěmátisě várious such justificátion thěoriěs. Kěýwords lěgál philosophý, humán rights, ártificiál intělligěncě, robots, humán rights thěoriěs, rights, robot rights
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Usage of artificial inteligence in legal services
Hudík, Lukáš ; Beran, Karel (advisor) ; Ondřejek, Pavel (referee)
1 The usage of artificial inteligence in the legal practice Abstract This thesis deals with the phenomenon of artificial intelligence and its use in the the legal practice, as well as its impact on the related legal profession. The main objective of the thesis was to evaluate the current regulation of artificial intelligence at both the general and professional level in this country and around the world. Artificial Intelligence, or better said, the artificial intelligence system, is undoubtedly a topical and widely discussed topic that has rapidly come into the public consciousness in the last three years and has the potential to change the current majority of economic sectors as we currently know them. Its media coverage and often deliberately offensive article headlines, however, have often led to questions such as "won't I lose my job because of AI", even in professional circles? "Why should I use AI?" Thus, the main methodology used in this paper is empirical research into the AI systems phenomena, and the subsequent application of the findings to existing AI-based legal tools. I will thus attempt to answer the question of whether AI is a threat or rather an opportunity for the future of advocacy, and how it should be approached. The thesis also deals with related issues, i.e. phenomena such as forum...
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