Avancerad sökning

Visar resultat 1 - 5 av 161 uppsatser som matchar ovanstående sökkriterier.

1. 1. A space-time shape for easier spatiotemporal visualization in traffic networks

   Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Avdelningen för systemteknik

   Författare :David Smeds; [2024]
   Nyckelord :;

   Sammanfattning : Modern big data systems are enabling new possibilities that never were thought possible in the past. The ability to gather massive data on an individual level has made fields like space-time geography bloom in the latest decennia. The usage of shapes in a 3D space allows us to visualize certain phenomena over time. LÄS MER

3. 2. Virtual H&E Staining Using PLS Microscopy and Neural Networks

   Master-uppsats, Lunds universitet/Matematik LTH

   Författare :Sally Vizins; Hanna Råhnängen; [2024]
   Nyckelord :Deep learning; Virtual staining; Skin tissue; Hematoxylin Eosin; H E; Pathology; Carcinoma; Point light source illumination; Neural Networks; GANs; Generative adversarial networks; CNNs; Convolutional neural networks; Relativistic generative adversarial network; Unet; Digital microscopy; Attention-Unet; Dense-Unet; Mathematics and Statistics;

   Sammanfattning : Histopathological examination, crucial in diagnosing diseases such as cancer, traditionally relies on time- and resource-consuming, poorly standardized chemical staining for tissue visualization. This thesis presents a novel digital alternative using generative neural networks and a point light source (PLS) microscope to transform unstained skin tissue images into their stained counterparts. LÄS MER

4. 3. Planet-NeRF : Neural Radiance Fields for 3D Reconstruction on Satellite Imagery in Season Changing Environments

   Master-uppsats, Linköpings universitet/Datorseende

   Författare :Erica Ingerstad; Liv Kåreborn; [2024]
   Nyckelord :NeRF; Neural Radiance Field; Satellite Imagery; Machine Learning; Deep Learning;

   Sammanfattning : This thesis investigates the seasonal predictive capabilities of Neural Radiance Fields (NeRF) applied to satellite images. Focusing on the utilization of satellite data, the study explores how Sat-NeRF, a novel approach in computer vision, per- forms in predicting seasonal variations across different months. LÄS MER

5. 4. Interactive Visualization of Network Models in JavaScript/TypeScript for Web-based Applications

   Uppsats för yrkesexamina på avancerad nivå, Umeå universitet/Institutionen för fysik

   Författare :Morrow Erik; [2023]
   Nyckelord :Networks; Information visualization; Information Theory; Interactive visualization; Nätverk; Informationsvisualisering; Informationsteori; Interaktiv visualisering;

   Sammanfattning : Networks of nodes and links are powerful tools to model complex systems, however, when the number of nodes and links grows to the thousands then even the network becomes too complex to comprehend unless we can simplify and highlight the networks underlying structure. The map equation is a method developed by the researchers at IntegratedScience Lab that uses an information theoretic approach to reveal community structure using the flow of information on the network modeled with random walks. LÄS MER

7. 5. Enhancing human-robot interaction using mixed reality

   Magister-uppsats, Högskolan i Skövde/Institutionen för ingenjörsvetenskap

   Författare :Santiago Molina Morillas; [2023]
   Nyckelord :Human-robot interaction; mixed reality; autonomous mobile robots; safety;

   Sammanfattning : Industry 4.0 is a new phase of industrial growth that has been ushered in by the quick development of digital technologies like the Internet of Things (IoT), artificial intelligence (AI), and robots. Collaborative robotic products have appeared in this changing environment, enabling robots to collaborate with people in open workspaces. LÄS MER