National Repository of Grey Literature 3 records found  Search took 0.01 seconds. 
Horror vacui
Gruber, Jiří ; Mikuláštík, Milan (referee) ; Klímová, Barbora (advisor)
Bachelor´s thesis is about creating infinite amount of tattoo motives by the artificial intelligence. Then, the goal is to realize the motives on as many people as possible. The neural network production as such is based on a dataset reflecting contemporary trends in the field of "non-maintream" tattoo.
Horror vacui
Gruber, Jiří ; Mikuláštík, Milan (referee) ; Klímová, Barbora (advisor)
Bachelor´s thesis is about creating infinite amount of tattoo motives by the artificial intelligence. Then, the goal is to realize the motives on as many people as possible. The neural network production as such is based on a dataset reflecting contemporary trends in the field of "non-maintream" tattoo.
Simulation of noise in the Belle II strip vertex detector
Gruberová, Zuzana ; Kvasnička, Peter (advisor) ; Červenkov, Daniel (referee)
Title: Simulation of noise in the Belle II strip vertex detector Author: Zuzana Gruberová Institute: Institute of Particle and Nuclear Physics Supervisor: RNDr. Peter Kvasnička, Institute of Particle and Nuclear Physics Abstract: This bachelor thesis describes the development of strip noise simulation for the Belle II strip vertex detector (SVD). The overview part of the thesis describes the Belle II experiment and its detector system. The next part summarizes the basic princi- ples of semiconductor detectors with a focus on electronic noise. This section is followed by a more detailed description of Belle II SVD, its noise characteristics and simulation methods. The methods part introduces basic concepts of noise simulation using ma- chine learning methods, in particular, artificial neural networks. The experimental part describes the development and implementation of a production noise generator, and dis- cusses the performance, precision, and alternative solutions. Keywords: particle physics, Belle II, strip detector, noise, simulation, neural network 1

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