Národní úložiště šedé literatury Nalezeno 2 záznamů.  Hledání trvalo 0.00 vteřin. 
Fake Face Detection in the Digital Images
Lapšanský, Tomáš ; Goldmann, Tomáš (oponent) ; Orság, Filip (vedoucí práce)
In recent years, we can observe the rise and rapid development of neural networks and artificial intelligence in information technology, which include deepfake photos and videos. Generative adversarial neural networks (GANs) are a clear example of this. Nowadays, they can achieve virtually impossible results for the average person to distinguish from reality. Since these networks can therefore be misused for various purposes, it is necessary to be able to distinguish between what is generated and what is real. This thesis explores current state-of-the-art neural network solutions that can serve as suitable models for deepfake detection. We investigate individual architectures that are suitable as a baseline model for detection, address possible improvements to this model, and develop several new architectures. We then investigate these and evaluate their results. In conclusion, we have a discussion of the results and open further questions on this complex issue.
Virtuální stroj Petriho sítí
Lapšanský, Tomáš ; Janoušek, Vladimír (oponent) ; Kočí, Radek (vedoucí práce)
Bakalárska práca formálne definuje pojem Objektovo orientované Petriho siete. Práca ďalej navrhuje koncept prekladača a virtuálneho stroja pre Objektovo orientované Petriho siete s využitím jazyk PNTalk. Popisuje implementáciu virtuálneho stroja a prekladača.

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