Sökning: "Graph Drawing"
Visar resultat 1 - 5 av 18 uppsatser innehållade orden Graph Drawing.
1. 3D Texture Synthesis Using Graph Neural Cellular Automata
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : In recent years, texture synthesis has been a heated topic in computer graphics, and the development of advanced algorithms for generating high-quality 3D textures is an area of active research. A recently proposed model, Neural Cellular Automata, can synthesize realistic 2D texture images or videos. LÄS MER
2. Improving The Visualization And Animation Of Weighted Dynamic Networks Using Force-Directed Graph Drawing Algorithms
Master-uppsats, Linköpings universitet/Institutet för analytisk sociologi, IAS; Linköpings universitet/Filosofiska fakultetenSammanfattning : The visualization of networks as graphs composed of nodes and vertices benefits many fields of science including social network analysis. The use case of visualizations is twofold. Firstly, easy initial visualization of networks will help researchers find and specify their hypotheses before having to do any technical analysis. LÄS MER
3. Visualization of multi-layered data in node networks
Master-uppsats, Lunds universitet/Ergonomi och aerosolteknologiSammanfattning : Visualization is the discipline of representing information with visual elements. Data structures can benefit from visualization, enabling people deeper understanding of the structures. LÄS MER
4. Using simulated dynamics and graph metrics to compare brain networks of MCI patients and healthy control subjects
Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : In recent years, several different methods have been proposed to compare brain networks with the joint use of graph theory and graph metrics. Another relatively unexplored comparison method is comparing the brain’s response to various input signals by simulating the brain’s dynamics. LÄS MER
5. Interactive Visual Exploration of Causal Structures for Neuropathic Pain Diagnosis
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Revealing causal structures from observational data is an essential task in many data analysis issues across various domains, such as natural sciences, business, and healthcare. In healthcare, neuropathic pain is one of the most common medical problems, whose diagnosis process has well-understood causal structures. LÄS MER