Sökning: "Network topology"

Visar resultat 6 - 10 av 235 uppsatser innehållade orden Network topology.

1. 6. Intersecting Graph Representation Learning and Cell Profiling : A Novel Approach to Analyzing Complex Biomedical Data

   Master-uppsats, Uppsala universitet/Institutionen för farmaceutisk biovetenskap

   Författare :Nima Chamyani; [2023]
   Nyckelord :Graph representation learning; Cell profiling; Biological systems; Network medicine; Graphs; Machine learning techniques; Graph neural networks GNNs ; Protein-Compound-Pathway interactions; Biomarkers; Drug discovery;

   Sammanfattning : In recent biomedical research, graph representation learning and cell profiling techniques have emerged as transformative tools for analyzing high-dimensional biological data. The integration of these methods, as investigated in this study, has facilitated an enhanced understanding of complex biological systems, consequently improving drug discovery. LÄS MER

3. 7. HackerGraph : Creating a knowledge graph for security assessment of AWS systems

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

   Författare :Alexios Stournaras; [2023]
   Nyckelord :Cloud security; Knowledge graph; Attack graph; Vulnerability ssessment; Attack paths; Vulnerable-by-design systems; Cloudgoat; Molnsäkerhet; Kunskapsgraf; Attackgraf; Sårbarhetsanalysis; Sårbara miljöer; Cloudgoat;

   Sammanfattning : With the rapid adoption of cloud technologies, organizations have benefited from improved scalability, cost efficiency, and flexibility. However, this shift towards cloud computing has raised concerns about the safety and security of sensitive data and applications. LÄS MER

4. 8. Link Prediction Using Learnable Topology Augmentation

   Master-uppsats, KTH/Matematik (Avd.)

   Författare :Tori Leatherman; [2023]
   Nyckelord :Network Analysis; Inductive Link Prediction; Learnable Augmentation; Graph Neural Networks; Multilayer Perceptrons; Nätverksanalys; Induktiv Länkförutsägelse; Inlärningsbar Förstärkning; Grafiska Neurala Nätverk; Flerskiktsperceptroner;

   Sammanfattning : Link prediction is a crucial task in many downstream applications of graph machine learning. Graph Neural Networks (GNNs) are a prominent approach for transductive link prediction, where the aim is to predict missing links or connections only within the existing nodes of a given graph. LÄS MER

5. 9. Machine learning based Topology Optimization

   Uppsats för yrkesexamina på avancerad nivå, Lunds universitet/Hållfasthetslära; Lunds universitet/Institutionen för byggvetenskaper

   Författare :Lina Wihrén; [2023]
   Nyckelord :Machine learning; Topology Optimization; Artificial neural networks; Micromobility vehicles; Technology and Engineering;

   Sammanfattning : This thesis aims to find a design suggestion for the chassis of a new micromobility vehicle developed by the company LEVTEK SWEDEN AB by using a multiple load, compliance based topology optimization. For this purpose, 9 static load cases are suggested, 4 of which have been derived from dynamic scenarios using an equivalent static load inspired approach based on free-body diagrams. LÄS MER

7. 10. CONNECTING THE DOTS : Exploring gene contexts through knowledge-graph representations of gene-information derived from scientific literature

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

   Författare :Henrietta Hellberg; [2023]
   Nyckelord :Knowledge graph construction; Information extraction; Knowledge Graphs; Next-Generation Sequencing; Gene contextualization; Kunskapsgrafkonstruktion; Informationsextraktion; Kunskapsgrafer; Next-Generation Sequencing; Kontextualisering av gener;

   Sammanfattning : Analyzing the data produced by next-generation sequencing technologies relies on access to information synthesized based on previous research findings. The volume of data available in the literature is growing rapidly, and it is becoming increasingly necessary for researchers to use AI or other statistics-based approaches in the analysis of their datasets. LÄS MER