Essays about: "graf"

Showing result 1 - 5 of 146 essays containing the word graf.

  1. 1. Nutshell Paragraphs, Fact-Base or Propaganda: How Do Nutshell paragraphs in five news media reflect an international crisis?

    University essay from Göteborgs universitet/JMG - Inst f journalistik och masskomm

    Author : Javad Maleki; [2023-10-10]
    Keywords : The nut graph; the nutshell paragraph; the nut graf; fact; propaganda; agenda setting; comparative analysis; content analysis; international crisis; the Libyan crisis; NATO; journalism; journalist; editor; editorial manipulation; newspaper; TV; media; news media; Swedish news media; print news media; news writing; audience; Global Times; Dagens Nyheter; Rossiyskaya Gazeta; the Guardian; the New York Times;

    Abstract : Abstract Thesis: 15 hp Program and/or course: Master’s program in Investigative Journalism (MIJ), Master´s thesis in Investigative Journalism, JU2603 Level: Second Cycle Semester/year: St/2023 Supervisor: Mathias Färdigh Examiner: Annika Bergström Keyword: The nut graph, the nutshell paragraph, the nut graf, fact, propaganda, agenda setting, comparative analysis, content analysis, international crisis, the Libyan crisis, NATO, journalism, journalist, editor, editorial manipulation, newspaper, TV, media, news media, Swedish news media, print news media, news writing, audience, Global Times, Dagens Nyheter, Rossiyskaya Gazeta, the Guardian, the New York Times. Purpose: The aim of the study is to conduct a comparative analysis of the contents of nut graphs written by five print news media outlets: Dagens Nyheter, Global Times, Rossiyskaya Gazeta, The Guardian, and The New York Times, regarding the Libyan crisis, in order to examine whether they set media agendas through the nut graph. READ MORE

  2. 2. 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. 3. 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

  4. 4. Preserving the Mental Map when Visualizing Dynamic Graphs : An Approach for Intermediate Representations in the C2 Java Compiler

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

    Author : Emmy Yin; [2023]
    Keywords : Dynamic Graphs; Graph Layout Algorithms; Visualization; Hierarchical Graph Layouts; Dynamiska grafer; grafritningsalgoritmer; visualisering; hierarkiska grafritningar;

    Abstract : Graphs are powerful data structures that are widely used to represent complex forms of information. One area in which graphs are successfully being used is within compiler engineering, where a program under compilation can be represented as a graph that changes as the program is being compiled. READ MORE

  5. 5. Graph Neural Networks for Events Detection in Football

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

    Author : Giovanni Castellano; [2023]
    Keywords : Machine Learning; Graph Neural Network; Recurrent Neural Network; Trajectory Data; Football; Events Detection; Maskininlärning; Graph Neural Network; Recurrent Neural Network; Bandata; fotboll; händelsedetektering;

    Abstract : 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. READ MORE