Sökning: "C- mr"
Visar resultat 1 - 5 av 20 uppsatser innehållade orden C- mr.
1. Mixed reality for assembly processes programming and guiding with path optimisation
Magister-uppsats, Högskolan i Skövde/Institutionen för ingenjörsvetenskapSammanfattning : BACKGROUND: The integration of robotics, and mixed reality has ushered in a substantial revolution within the realm of Industry 4.0. The incorporation of robots into the manufacturing sector plays a pivotal role in enhancing productivity, in which humans and robots collaborate with each other. LÄS MER
2. Evaluation of factors that might affect the grading of heart murmurs in dogs with myxomatous mitral valve disease
Uppsats för yrkesexamina på avancerad nivå, SLU/Dept. of Clinical SciencesSammanfattning : Myxomatous mitral valve disease (MMVD) is the most common heart disease in dogs. The first sign of MMVD is usually a heart murmur, which most commonly is detected before clinical signs of the disease potentially develop. The preclinical period of MMVD is usually long and can be prolonged with medical treatment. LÄS MER
3. Effekterna av ett C ommand Center på en avdelning fö r magnetkameraundersökningar : Analys med Discrete Event Simulation
Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : In the last decade the number of radiological examinations in Sweden have increased steadily. Radiology nurses are experiencing an increasing workload and the situation is not expected to revert as it is predicted that the population of the country will continue to grow. LÄS MER
4. Interactive Visualization of Underground Infrastructures via Mixed Reality
Kandidat-uppsats, Högskolan i Halmstad/Akademin för informationsteknologiSammanfattning : Visualization of underground infrastructures, such as pipes and cables, can be useful for infrastructure providers and can be utilized for both planning and maintenance. The purpose of this project is therefore to develop a system that provides interactive visualization of underground infrastructures using mixed reality. LÄS MER
5. Data Augmentation to Increase Multi-Site Robustness for Convolutional Neural Networks - A case study on MRI segmentation of target and organs at risk for prostate cancer
Master-uppsats, Lunds universitet/Matematisk statistikSammanfattning : Organ segmentation on magnetic resonance (MR) images for dose planning on cancer patients is a time consuming process that can be automatized by using convolutional neural networks (CNNs). MR images vary greatly in characteristics across acquisition sites, which affects CNN segmentation performance. LÄS MER