Essays about: "Generative adversarial networks"

Showing result 16 - 20 of 143 essays containing the words Generative adversarial networks.

  1. 16. Generative AI for Synthetic Data

    University essay from Lunds universitet/Institutionen för reglerteknik

    Author : Esaias Belfrage; August Borna; [2023]
    Keywords : Technology and Engineering;

    Abstract : Synthetic data generation has emerged as a valuable technique for addressing data scarcity and privacy concerns and improving machine learning algorithms. This thesis focuses on progressing the field of synthetic data generation, which may play a crucial role in AI-heavy industries such as telecommunications. READ MORE

  2. 17. Improving Missing Data Imputation using Generative Adversarial Network-based Methods

    University essay from Lunds universitet/Matematisk statistik

    Author : Hanna Anderberg; Sofia Wadell; [2023]
    Keywords : Missing Values; Data Imputation; Generative Adversarial Network; GAIN; CTGAN; Mathematics and Statistics;

    Abstract : In a modern context, organizations increasingly rely on data analysis and the importance of data quality have accordingly become even more crucial. In this context, missing values pose a significant challenge compromising the utility of the data. READ MORE

  3. 18. Image generation through feature extraction and learning using a deep learning approach

    University essay from Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)

    Author : Tibo Bruneel; [2023]
    Keywords : Deep Learning; Neural Networks; Deep Generative Learning; Variational Autoencoders; Generative Adversarial Networks; Flow-based Models; Triplet Image Generation; Triplet Loss; Tree Log End Generation; Forestry Application;

    Abstract : With recent advancements, image generation has become more and more possible with the introduction of stronger generative artificial intelligence (AI) models. The idea and ability of generating non-existing images that highly resemble real world images is interesting for many use cases. READ MORE

  4. 19. Improving Unreal Engine Imagery using Generative Adversarial Networks

    University essay from Linköpings universitet/Programvara och system

    Author : Erik Jareman; Ludvig Knast; [2023]
    Keywords : GAN; Generative Adversarial Networks; Unreal Engine; Real-ESRGAN; super resolution; image enhancement;

    Abstract : Game engines such as Unreal Engine 5 are widely used to create photo-realistic renderings. To run these renderings at high quality without experiencing any performance issues,high-performance hardware is often required. READ MORE

  5. 20. Credit Card Transaction Fraud Detection Using Neural Network Classifiers

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Ehsan Nazeriha; [2023]
    Keywords : GAN; Deep Learning; Variational Autoencoder; Anomaly Detection; SMOTE; GAN; Djupinlärning; Variational Autoencoder; Anomali detektering; SMOTE;

    Abstract : With increasing usage of credit card payments, credit card fraud has also been increasing. Therefore a fast and accurate fraud detection system is vital for the banks. To solve the problem of fraud detection, different machine learning classifiers have been designed and trained on a credit card transaction dataset. READ MORE