Essays about: "Generative modelling"

Showing result 1 - 5 of 20 essays containing the words Generative modelling.

1. 1. InclusiveRender A metaverse Engine prototype to support Accessible Environments for people with ASD

   University essay from Stockholms universitet/Institutionen för data- och systemvetenskap

   Author : Oscar Borg; Niklas Enberg; [2023]
   Keywords : metaverse; Autism Spectrum Disorder; Virtual Reality; Immersive Learning; Personalised Learning; Machine Learning; Accessibility;

   Abstract : The metaverse has seen increased usages in its capabilities as an educational tool by immersing users in virtual scenarios. This technology is inaccessible for user groups that require higher degrees of accessibility and personalization, as most metaverse implementations do not adjust to the user’s needs. READ MORE

3. 2. 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

4. 3. 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

5. 4. Highway Traffic Forecasting with the Diffusion Model : An Image-Generation Based Approach

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

   Author : Pengnan Chi; [2023]
   Keywords : Diffusion model; Traffic forecasting; Generative model; Image processing; Spatial temporal modelling; Diffusionsmodell; Trafikprognos; Generativ modell; Bildbehandling; Rumsligtemporal modellering;

   Abstract : Forecasting of highway traffic is a common practice for real traffic information system, and is of vital importance to traffic management and control on highways. As a typical time-series forecasting task, we want to propose a deep learning model to map the historical sensory traffic values (e.g., speed, flow) to future traffic forecasts. READ MORE

6. 5. Generating Synthetic CT Images Using Diffusion Models

   University essay from Umeå universitet/Institutionen för fysik

   Author : Salih Saleh; [2023]
   Keywords : Machine learning; artificial intelligence; generative models; diffusion models; MRI; CT; synthetic CT; radiation therapy;

   Abstract : Magnetic resonance (MR) images together with computed tomography (CT) images are used in many medical practices, such as radiation therapy. To capture those images, patients have to undergo two separate scans: one for the MR image, which involves using strong magnetic fields, and one for the CT image which involves using radiation (x-rays). READ MORE