Sökning: "Knowledge Graph"

Visar resultat 11 - 15 av 112 uppsatser innehållade orden Knowledge Graph.

1. 11. 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

3. 12. Decoding communication of non-human species - Unsupervised machine learning to infer syntactical and temporal patterns in fruit-bats vocalizations.

   Master-uppsats, Stockholms universitet/Institutionen för data- och systemvetenskap

   Författare :Luigi Assom; [2023]
   Nyckelord :animal decision making; unsupervised machine learning; UMAP; autoencoders; classifiers; bioacoustics; combinatory syntax; animal communication;

   Sammanfattning : Decoding non-human species communication offers a unique chance to explore alternative intelligence forms using machine learning. This master thesis focuses on discreteness and grammar, two of five linguistic areas machine learning can support, and tackles inferring syntax and temporal structures from bioacoustics data annotated with animal behavior. LÄS MER

4. 13. Designing a game exploring how other’s choices influence our own decisions : An interactive game adapted for in-flight entertainment systems

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

   Författare :Parvar Reza; [2023]
   Nyckelord :;

   Sammanfattning : Interactions with others can influence our decision-making, often without us being aware of it. There is a link between influence and decision-making, while, the extent to which other people's decisions influence our own is a multi-faceted and complex question considering our unique personalities and ways of thinking in different areas. LÄS MER

5. 14. Digital Twin Knowledge Graphs for IoT Platforms : Towards a Virtual Model for Real-Time Knowledge Representation in IoT Platforms

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

   Författare :Alejandro Jarabo Peñas; [2023]
   Nyckelord :Internet of Things; Digital Twin; Knowledge Graph; Similarity Metric; Semantic Data Integration; Internet of Things; Digital Twin; Kunskapsgraf; Likhetmetrik; Integrering av Semantiska Data; Internet of Things; Gemelo Digital; Grafo de Conocimiento; Métrica de Similitud; Integración de Datos Semánticos.;

   Sammanfattning : This thesis presents the design and prototype implementation of a digital twin based on a knowledge graph for Internet of Things (IoT) platforms. The digital twin is a virtual representation of a physical object or system that must continually integrate and update knowledge in rapidly changing environments. LÄS MER

7. 15. 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