Essays about: "Generative Adversarial Network GAN"
Showing result 1 - 5 of 87 essays containing the words Generative Adversarial Network GAN.
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1. Generative adversarial network for point cloud upsampling
University essay from Luleå tekniska universitet/Institutionen för system- och rymdteknikAbstract : Point clouds are a widely used system for the collection and application of 3D data. But most timesthe data gathered is too scarce to reliably be used in any application. READ MORE
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2. Despeckling Echocardiograms Using Generative Adversarial Networks
University essay from Göteborgs universitet/Institutionen för data- och informationsteknikAbstract : Previous research had shown that generative adversarial networks (GANs) are capable of despeckling echocardiograms (echos) through image-to-image translation in real-time once trained. However, only limited information regarding the quality of denoised echos and explainability of useful GAN components is provided. READ MORE
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3. Using Synthetic Data to ModelMobile User Interface Interactions
University essay from Karlstads universitet/Institutionen för matematik och datavetenskap (from 2013)Abstract : Usability testing within User Interface (UI) is a central part of assuring high-quality UIdesign that provides good user-experiences across multiple user-groups. The processof usability testing often times requires extensive collection of user feedback, preferablyacross multiple user groups, to ensure an unbiased observation of the potential designflaws within the UI design. READ MORE
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4. Exploring GANs to generate attack-variations in IoT networks
University essay from Uppsala universitet/Institutionen för informationsteknologiAbstract : Data driven IDS development requires a vast amount of data to be effective against future attacks and a big problem is the lack of available data. This thesis explores the use of GANs (Generative adversarial networks) in generating attack data that can be used as apart of a training set for an IDS to improve the robustness against adversarial attacks. READ MORE
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5. Image Colorization Based on Deep Learning
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : With the development of artificial intelligence, there is a clear trend to combine computer technology with traditional industries. In recent years, with the development of digital media technology, many methods for coloring gray-scale images have been proposed. READ MORE