Sökning: "synthetic data generation"

Visar resultat 11 - 15 av 84 uppsatser innehållade orden synthetic data generation.

1. 11. Latent Data-Structures for Complex State Representation : A Steppingstone to Generating Synthetic 5G RAN data using Deep Learning

   Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Högenergifysik

   Författare :Jakob Häggström; [2023]
   Nyckelord :Data Science; Machine Learning; Generative models; Artificial Intelligence; 5GRAN;

   Sammanfattning : The aim of this thesis is to investigate the feasibility of applying generative deep learning models on data related to 5G Radio Access Networks (5GRAN). Simulated data is used in order to develop the generative models, and this project serves as a proof of concept for further applications on real data. LÄS MER

3. 12. Sim2Real: Generating synthetic images from industry CAD models with domain randomization

   Master-uppsats, Uppsala universitet/Institutionen för informationsteknologi

   Författare :Duruo Li; [2023]
   Nyckelord :;

   Sammanfattning : Deep learning methods for computer vision applications require massive visual data for model training. Although it is possible to utilize public datasets such as ImageNet, MS COCO, and CIFAR-100, it becomes problematic when there is a need for more task-specific data when new training data collection typically is needed. LÄS MER

4. 13. Generative AI for Synthetic Data

   Uppsats för yrkesexamina på avancerad nivå, Lunds universitet/Institutionen för reglerteknik

   Författare :Esaias Belfrage; August Borna; [2023]
   Nyckelord :Technology and Engineering;

   Sammanfattning : 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. LÄS MER

5. 14. Parameter Estimation and Simulation of Driving Datasets

   Master-uppsats, KTH/Väg- och spårfordon samt konceptuell fordonsdesign

   Författare :Bojian Qu; [2023]
   Nyckelord :autonomous vehicles; safety assessment; trajectory generation; safety-critical scenarios; density estimation; approximate inference; självkörande fordon; säkerhetsbedömning; bana generering; säkerhetskritiska scenarier; densitetsuppskattning; ungefärlig slutledning;

   Sammanfattning : The development of autonomous driving in recent years has been in full swing and one of the aspects that Autonomous Vehicles (AVs) should always focus on is safety. Although the corresponding technology has gradually matured, and AVs have performed well in a large number of tests, people are still uncertain whether AVs can cope with all possible situations. LÄS MER

7. 15. Evaluating Membership Inference Attacks on Synthetic Data Generated With Formal Privacy Guarantees

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

   Författare :Elliot Beskow; Erik Lindé; [2023]
   Nyckelord :;

   Sammanfattning : Synthetic data generation using generative machine learning has been increasinglypublicized as a new tool for data anonymization. It promises to offer privacy whilemaintaining the statistical properties of the original dataset. This study focuses on the riskswith synthetic data by looking mainly at two aspects: privacy and utility. LÄS MER