Essays about: "graph"

Showing result 21 - 25 of 875 essays containing the word graph.

1. 21. Anomaly Detection in the EtherCAT Network of a Power Station : Improving a Graph Convolutional Neural Network Framework

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Niklas Barth; [2023]
   Keywords : Unsupervised Learning; Multivariate Time Series; Graph Convolutional Neural Networks; Anomaly Detection; Industrial Control System; EtherCAT; Power Station; Electricity Grid;

   Abstract : 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. READ MORE

3. 22. Cyber Threat Detection using Machine Learning on Graphs : Continuous-Time Temporal Graph Learning on Provenance Graphs

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Jakub Reha; [2023]
   Keywords : Graph neural networks; Temporal graphs; Benchmark datasets; Anomaly detection; Heterogeneous graphs; Provenance graphs; Grafiska neurala nätverk; temporala grafer; benchmark-datauppsättningar; anomalidetektering; heterogena grafer; härkomstgrafer;

   Abstract : Cyber attacks are ubiquitous and increasingly prevalent in industry, society, and governmental departments. They affect the economy, politics, and individuals. READ MORE

4. 23. On the strategic abilities gained by using knowledge-based strategies for multi-agent teams playing against nature

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Sam Maltin; Simon Rosén; [2023]
   Keywords : ;

   Abstract : Analogous to how the Knowledge-Based Subset Construct (KBSC) can transform games of imperfect information against nature into games of perfect information, making it easier to find winning strategies for objectives in these games, the multi-agent knowledge-based subset construct (MKBSC) can be used to find winning strategies in multi-agent games of imperfect information. The difference between the two algorithms is that the generalized version can be applied multiple times, which is interpreted as the agent’s considering not just their own knowledge of the game, but also their knowledge of the other agents, and the knowledge of the other agent’s knowledge about their own knowledge, etc. READ MORE

5. 24. Control Aid Implementation -Modelling and simulation of triple extruder-

   University essay from Lunds universitet/Kemiteknik (CI)

   Author : Karl Langsér; [2023]
   Keywords : Machine Learning; Extruder; Modelling; Simulation; Extreme learning machine; Chemical engineering; Technology and Engineering;

   Abstract : In the production of their High Voltage Direct Current Cables (HVDC) and High Voltage Alternating Current Cables (HVAC), NKT uses triple extruders to create layers of insulation and semi-conduction. A model to predict the effect of extruder inputs on the cable’s insulation and semi-conducting layers has been created and trained to predict the extruder in discrete time. READ MORE

6. 25. Comparison of deep learning and model-based approaches for spatial profiling of the immune tumor environment on multiplex image data

   University essay from Uppsala universitet/Institutionen för informationsteknologi

   Author : Esraa Ahmed; [2023]
   Keywords : ;

   Abstract : The demographics of the tumor microenvironment (TME) impact the Immunotherapy responses for lung cancer patients. Given the heterogeneity of immune cells present within TME, the distribution patterns of different subpopulations of T-cells can be exploited to predict short-term or long-term survival of lung cancer patients. READ MORE