Sökning: "vector engine"

Visar resultat 1 - 5 av 31 uppsatser innehållade orden vector engine.

  1. 1. Feasibility of a program that helps evaluate the effects of gamification

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

    Författare :Harald Olin; Toto Roomi; [2023]
    Nyckelord :;

    Sammanfattning : Gamification is a modern concept which refers to the act of adding game elements to a nongame environment. Especially interesting is gamification when applied to a learning environment in the form of game based learning (GBL). GBL has proven to be successful and increases both student motivation and student result. LÄS MER

  3. 2. Faster Reading with DuckDB and Arrow Flight on Hopsworks : Benchmark and Performance Evaluation of Offline Feature Stores

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

    Författare :Ayushman Khazanchi; [2023]
    Nyckelord :Machine Learning; Feature Store; Distributed Systems; MLOps;

    Sammanfattning : Over the last few years, Machine Learning has become a huge field with “Big Tech” companies sharing their experiences building machine learning infrastructure. Feature Stores, used as centralized data repositories for machine learning features, are seen as a central component to operational and scalable machine learning. LÄS MER

  4. 3. Dynamic Real-Time Fire Propagation for Networked Multiplayer Games

    Master-uppsats, Linköpings universitet/Medie- och Informationsteknik; Linköpings universitet/Tekniska fakulteten

    Författare :Iris Kotsinas; Viktor Tholén; [2022]
    Nyckelord :fire simulation; fire propagation; fire; game system; real-time; dynamic system; multiplayer games;

    Sammanfattning : Simulating fire propagation in games can be problematic since it requires immense computational power if the fire is portrayed physically accurate. To decrease the computational power required, simplifications and approximations must be made. LÄS MER

  5. 4. Evaluation of the performance of machine learning techniques for email classification

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

    Författare :Isabella Tapper; [2022]
    Nyckelord :Natural Language Processing; Text Representations; Email Classification; Text Classification; Behandling Av Naturliga Språk; Text Representation; epost-klassificering; Textklassificering;

    Sammanfattning : Manual categorization of a mail inbox can often become time-consuming. Therefore many attempts have been made to use machine learning for this task. One essential Natural Language Processing (NLP) task is text classification, which is a big challenge since an NLP engine is not a native speaker of any human language. LÄS MER

  7. 5. Predicting Drought Hazard In Sweden Using Google Earth Engine And Machine Learning Approach

    Master-uppsats, KTH/Hållbar utveckling, miljövetenskap och teknik

    Författare :Jung-ching Kan; [2022]
    Nyckelord :drought forecast; google earth engine; machine learning; Sweden; torkaprognos; google earth engine; maskininlärning; Sverige;

    Sammanfattning : Drought, being one the most complex natural hazards, has a significant impact on society. To mitigate the impact and risk, it is crucial to be able to forecast drought, which is a challenging task. Nowadays, with technology innovations, large amounts of remote sensing data is available on the cloud. LÄS MER