Essays about: "Generative adversarial networks"
Showing result 16 - 20 of 143 essays containing the words Generative adversarial networks.
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16. Generative AI for Synthetic Data
University essay from Lunds universitet/Institutionen för reglerteknikAbstract : 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
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17. Improving Missing Data Imputation using Generative Adversarial Network-based Methods
University essay from Lunds universitet/Matematisk statistikAbstract : 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
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18. Image generation through feature extraction and learning using a deep learning approach
University essay from Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)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
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19. Improving Unreal Engine Imagery using Generative Adversarial Networks
University essay from Linköpings universitet/Programvara och systemAbstract : 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
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20. Credit Card Transaction Fraud Detection Using Neural Network Classifiers
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)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