Sökning: "grafbaserad"

Visar resultat 1 - 5 av 11 uppsatser innehållade ordet grafbaserad.

  1. 1. ElektroCHAT: A Knowledge Base-Driven Dialogue System for Electrical Engineering Students : A Proposal for Interactive Tutoring

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

    Författare :Fredrik Gölman; [2023]
    Nyckelord :Knowledge base; Knowledge graph; Dialogue system; Chatbot; Electrical engineering; Education; Kunskapsbas; Kunskapsgraf; Dialogsystem; Chatbot; Elektroteknik; Utbildning;

    Sammanfattning : Universities worldwide face challenges both with students dropping out of educational programmes and repetitive questions directed toward teaching staff which both consume resources and result in delays. Recent progress in natural language processing (NLP) introduces the possibility of more sophisticated dialogue systems that could help alleviate the situation. LÄS MER

  3. 2. Breast Cancer Histological Grading Using Graph Convolutional Networks

    Master-uppsats, KTH/Matematik (Avd.)

    Författare :Anton Normelius; [2022]
    Nyckelord :GCN; GraphSAGE; Breast cancer histological grading; GCN; GraphSAGE; Histologisk gradering av bröstcancer;

    Sammanfattning : Technological advancements have opened up the possibility of digitizing the pathological landscape, enabling deep learning-based methods to analyze digitized tissue samples, i.e., whole slide images (WSIs). Attention has recently shifted toward modeling WSIs as graphs since graph representations can capture dynamic relationships. LÄS MER

  4. 3. Visual Scripting for AR Board Games in Thrymd

    Uppsats för yrkesexamina på grundnivå, Luleå tekniska universitet/Datavetenskap

    Författare :Fredrik Lind; [2021]
    Nyckelord :nodes; visual scripting; visual; graph; graph-based; VPL; visual programming language; ar; board games; noder; visuell skriptning; visuell; grafbaserad; VPL; visuellt programmeringsspråk; ar; brädspel;

    Sammanfattning : In recent years, the interest in Augmented Reality (AR) applications for entertainment and productivity has grown. One company exploring this technology is LAZER WOLF STUDIOS, the developers behind Thrymd: an AR-driven board games platform powered by the Unity engine. LÄS MER

  5. 4. Applying Deep Learning To Improve Optimization- Based Approaches For Robust Sensor Fusion

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

    Författare :Pernilla Wikström; [2021]
    Nyckelord :Inertial Measurement Unit; Zero Velocity UPdaTes; Temporal Convolutional Network; PoseGraph Optimization; Inertial Measurement Unit; Zero Velocity UPdaTes; Temporal Convolutional Network; Optimering av GrafBaserad Positionering;

    Sammanfattning : Recent studies show that deep learning can be employed to learn from sensor data to improve accuracy and robustness of sensor fusion algorithms. In the same vein, in this thesis we use a state-of-the-art temporal convolution network to predict zero velocity updates (ZUPT) from raw inertial measurement unit (IMU) signals, and use the network output to improve the performance of an optimization-based pose estimator. LÄS MER

  7. 5. Keyword Extraction from Swedish Court Documents

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

    Författare :Sandra Grosz; [2020]
    Nyckelord :Keywords extraction; Information Retrieval; Natural Language Processing; nyckelordsextraktion; informationssökning; naturligt språkbehandling.;

    Sammanfattning : This thesis addresses the problem of extracting keywords which represent the rulings and and grounds for the rulings in Swedish court documents. The problem of identifying the candidate keywords was divided into two steps; first preprocessing the documents and second extracting keywords using a keyword extraction algorithm on the preprocessed documents. LÄS MER