Sökning: "Graph drawing"

Visar resultat 1 - 5 av 18 uppsatser innehållade orden Graph drawing.

  1. 1. 3D Texture Synthesis Using Graph Neural Cellular Automata

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Yitao Xu; [2023]
    Nyckelord :3D Texture Synthesis; Graph Neural Cellular Automata; Image-guided Synthesis; Text-guided Manipulation; Canvas Lärplattform; Dockerbehållare; Prestandajustering 3D-textursyntes; Graf Neurala Cellulära Automater; Bildledd Syntes; Textledd Manipulation;

    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

  3. 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 fakulteten

    Författare :Guus Winkelmolen; [2021]
    Nyckelord :;

    Sammanfattning : 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

  4. 3. Visualization of multi-layered data in node networks

    Master-uppsats, Lunds universitet/Ergonomi och aerosolteknologi

    Författare :Jacob Rosensköld; Magnus Sunesson; [2021]
    Nyckelord :Visualization; Interaction Design; Node networks; Graphs; Technology and Engineering;

    Sammanfattning : 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

  5. 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)

    Författare :Léo Noharet; Anton Fu; [2021]
    Nyckelord :;

    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

  7. 5. Interactive Visual Exploration of Causal Structures for Neuropathic Pain Diagnosis

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Yuwen Hu; [2021]
    Nyckelord :Causal structures; causality visualization; neuropathic pain; discomfort drawing; healthcare; interactive technologies.;

    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