Essays about: "Generative Adversarial Network"

Showing result 16 - 20 of 117 essays containing the words Generative Adversarial Network.

  1. 16. Generation of Synthetic White Blood Cell Images Using Denoising Diffusion

    University essay from Lunds universitet/Matematik LTH

    Author : Louise Zettergren; Fanny Nilsson; [2023]
    Keywords : Mathematics and Statistics;

    Abstract : CellaVision’s digital hematology systems are designed to analyze blood and pre-classify different types of blood cells. Some abnormal white blood cells are rare, which can cause imbalanced datasets. This can lead to a decrease in pre- classification performance and a need to carry out more time-consuming data gathering. READ MORE

  3. 17. 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

  4. 18. Scenario Generation for Stress Testing Using Generative Adversarial Networks : Deep Learning Approach to Generate Extreme but Plausible Scenarios

    University essay from Umeå universitet/Institutionen för matematik och matematisk statistik

    Author : Jonas Gustafsson; Conrad Jonsson; [2023]
    Keywords : Machine Learning; Generative Adversarial Network GAN ; Wasserstein Generative Adversarial Network WGAN ; Scenario Generation; Stress Testing; Central Counterparty Clearing;

    Abstract : Central Clearing Counterparties play a crucial role in financial markets, requiring robust risk management practices to ensure operational stability. A growing emphasis on risk analysis and stress testing from regulators has led to the need for sophisticated tools that can model extreme but plausible market scenarios. READ MORE

  5. 19. Are these numbers real?

    University essay from Göteborgs universitet/Institutionen för data- och informationsteknik

    Author : Karl Griphammar; [2022-10-14]
    Keywords : Machine learning; data science; deep generative models; GAN; quality control; smart manufacturing; subspaces;

    Abstract : Smart manufacturing refers to the use of digitalization for improving and automating manufacturing processes. One use case is artificial intelligence (AI) used in quality control, which can reduce production costs and heavy labor. Training AI models requires large amounts of annotated data, which can be costly to obtain. READ MORE

  6. 20. Improving Soil Information with Generative and Machine Learning Models

    University essay from Göteborgs universitet/Institutionen för data- och informationsteknik

    Author : Ebrahim Jahanshiri; [2022-06-21]
    Keywords : data augmentation; soil data; mapping; generative adversarial models; random forest;

    Abstract : Soil data observations are among the most difficult data to collect. Low sample density along with the high cost of sampling has made current soil information that are usually presented as maps, unusable for detailed applications such as modelling earth system dynamics, crop modelling, natural hazards prediction and climate change impacts. READ MORE