Kategorie: ‘Theses’
Data Curation for Decentralised Model Training using Representation Learning for Feature Embeddings
January 10th, 2022 | by Sascha Welten
Performing Distributed Analytics on Decentralised Geo- and Hydrological Data
January 10th, 2022 | by Sascha Welten
Model Training through Curiosity-based Latent Space Exploration on Decentralized Data
January 10th, 2022 | by Sascha Welten
Development of Generative Models Trained on Decentralised Hydrological Data
January 10th, 2022 | by Sascha Welten
Component Crawler for Mixed Reality Projects
December 16th, 2021 | by Benedikt Hensen
For mixed reality applications, developers usually choose a modular development approach where the application-logic is segmented into separate components which only realize one feature. In well-designed projects, the components are reusable in different contexts within the project but also outside of it. Additionally, code from these projects can be used to find examples how to use APIs or libraries. However, many elementary features of mixed reality applications are re-implemented in new projects, instead of leveraging components from existing open-source projects.