Sökning: "generative adversarial network GAN"

Visar resultat 1 - 5 av 89 uppsatser innehållade orden generative adversarial network GAN.

1. 1. Generative adversarial network for point cloud upsampling

   Uppsats för yrkesexamina på avancerad nivå, Luleå tekniska universitet/Institutionen för system- och rymdteknik

   Författare :Edison Widell Delgado; [2024]
   Nyckelord :Point cloud upsampling; Generative adversarial network; GAN;

   Sammanfattning : 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. LÄS MER

3. 2. Despeckling Echocardiograms Using Generative Adversarial Networks

   Master-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknik

   Författare :Falk DIppel; [2023-10-23]
   Nyckelord :Generative adversarial network; deep learning; echocardiography; speckle noise; denoising; segmentation;

   Sammanfattning : 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. LÄS MER

4. 3. Using Synthetic Data to ModelMobile User Interface Interactions

   Master-uppsats, Karlstads universitet/Institutionen för matematik och datavetenskap (from 2013)

   Författare :Laoa Jalal; [2023]
   Nyckelord :Time Series Data; Generative Adversarial Networks; Synthetic Data Generator; Usability Testing; Machine Learning;

   Sammanfattning : 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. LÄS MER

5. 4. Exploring GANs to generate attack-variations in IoT networks

   Kandidat-uppsats, Uppsala universitet/Institutionen för informationsteknologi

   Författare :Gustaf Bennmarker; [2023]
   Nyckelord :;

   Sammanfattning : 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. LÄS MER

7. 5. Image Colorization Based on Deep Learning

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Tao Deng; [2023]
   Nyckelord :Image colorization; Deep Learning; Convolutional Neural Network; Generative Adversarial Network; Färgläggning av bilder; djupinlärning; Konvolutionella Neurala Nätverk; Generativa Adversariella Nätverk;

   Sammanfattning : 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. LÄS MER