Sökning: "Real-Time Extended"
Visar resultat 1 - 5 av 131 uppsatser innehållade orden Real-Time Extended.
1. Utilizing Hydra for Real-Time Reconstruction of Environments in Extended Reality
Master-uppsats, Lunds universitet/Ergonomi och aerosolteknologiSammanfattning : This thesis explores the use of Hydra for real-time reconstruction of environments in extended reality (XR). The development of the prototype was performed in an iterative manner. Three iterations were executed, each resulting in a prototype with improvements related to the takeaways from the preceding prototype. LÄS MER
2. Detecting Fraudulent User Behaviour : A Study of User Behaviour and Machine Learning in Fraud Detection
Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Analys och partiella differentialekvationerSammanfattning : This study aims to create a Machine Learning model and investigate its performance of detecting fraudulent user behaviour on an e-commerce platform. The user data was analysed to identify and extract critical features distinguishing regular users from fraudulent users. LÄS MER
3. Machine Learning for Spatial Positioning for XR Environments
Kandidat-uppsats, Stockholms universitet/Institutionen för data- och systemvetenskapSammanfattning : This bachelor's thesis explores the integration of machine learning (ML) with sensor fusion techniques to enhance spatial data accuracy in Extended Reality (XR) environments. With XR's revolutionary impact across various sectors, accurate localization in virtual environments becomes imperative. LÄS MER
4. Real-Time Navigation for Swarms of Synthetic Aperture Radar (SAR) Satellites
Master-uppsats, Luleå tekniska universitet/RymdteknikSammanfattning : The pursuit of precision and flexibility in satellite missions has led to an increased number of formation flying missions being developed. These systems consist of multiple satellites flying at close distances (from a few kilometres to a few meters) to achieve common objectives. LÄS MER
5. Assisted GNSS Positioning using State Space Corrections
Master-uppsats, Linköpings universitet/Institutionen för systemteknikSammanfattning : Classical GNSS based positioning has accuracy limitations due to many sources oferror. The error sources range from clock errors and orbit errors toerrors due to variations in atmospheric propagation delays. One way to improve GNSSpositioning is to generate real time corrections using a GNSS reference network. LÄS MER