Sökning: "Temporal Graph"
Visar resultat 1 - 5 av 33 uppsatser innehållade orden Temporal Graph.
1. Characterizing Bitcoin Use For Illicit Activities
Master-uppsats, Linköpings universitet/Institutionen för datavetenskapSammanfattning : Bitcoin's decentralized nature enables reasonably anonymous exchange of money outside of the authorities' control. This has led to Bitcoin being popular for various illegal activities, including scams, ransomware attacks, money laundering, black markets, etc. LÄS MER
2. Anomaly Detection in the EtherCAT Network of a Power Station : Improving a Graph Convolutional Neural Network Framework
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : In this thesis, an anomaly detection framework is assessed and fine-tuned to detect and explain anomalies in a power station, where EtherCAT, an Industrial Control System, is employed for monitoring. The chosen framework is based on a previously published Graph Neural Network (GNN) model, utilizing attention mechanisms to capture complex relationships between diverse measurements within the EtherCAT system. LÄS MER
3. Cyber Threat Detection using Machine Learning on Graphs : Continuous-Time Temporal Graph Learning on Provenance Graphs
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Cyber attacks are ubiquitous and increasingly prevalent in industry, society, and governmental departments. They affect the economy, politics, and individuals. LÄS MER
4. The renegotiation of Swedengate : A temporal and discursive examination of a viral phenomenon
Master-uppsats, Umeå universitet/Sociologiska institutionenSammanfattning : This study examines the discursive development of the viral online phenomenon known by the hashtag #swedengate. Having originally revolved around Swedish dinner customs, the discussion and the meaning of ‘Swedengate’ soon came to encompass more serious themes, including various forms of criticism directed at Sweden. LÄS MER
5. Graph Neural Networks for Events Detection in Football
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Tracab’s optical tracking system allows to track the 2-dimensional trajectories of players and ball during a football game. Using this data it is possible to train machine learning models to identify events that happen during the match. LÄS MER