Sökning: "hierarchical data format"

Visar resultat 1 - 5 av 8 uppsatser innehållade orden hierarchical data format.

  1. 1. Exploring the Applications of Machine Learning in the Public Sector

    Kandidat-uppsats, Lunds universitet/Fysiska institutionen; Lunds universitet/Beräkningsbiologi och biologisk fysik - Genomgår omorganisation

    Författare :Adrian Hammarberg Dalmyr; [2023]
    Nyckelord :Physics and Astronomy;

    Sammanfattning : Despite the many use cases for machine learning, it sees minimal usage in Sweden’s public sector today. It is important that the public sector in particular utilizes the most efficient tools available. LÄS MER

  3. 2. A Hierarchical Tucker Solver for the Vlasov-Maxwell System

    Master-uppsats, Uppsala universitet/Institutionen för informationsteknologi

    Författare :Oskar Tegby; [2023]
    Nyckelord :;

    Sammanfattning : The Vlasov-Maxwell equations is a common model to describe the behavior of a plasma, but come at the cost of their dimensionality since both spatial and veloocity data is stored in three dimensions. This causes a significant obstacle to be able solve them numerically since the size of the data is N^6, which yields a data size of 8. LÄS MER

  4. 3. Space Weather Simulation Model Integration

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

    Författare :Alice Molin; Julia Johnstone; [2023]
    Nyckelord :simulation model; OpenSpace; GAMERA; HDF5; NASA; space weather; magnetosphere; field lines; cut plane; curvilinear grids; data extraction; integration; visualization; hierarchical data format; textures; transfer function; Medicinsk teknik; Medicinsk teknik;

    Sammanfattning : Space weather is the field within the space sciences that studies how the Earths magnetosphere is influenced by the Sun. The Sun is constantly emitting dangerous radiation and plasma which in some cases can affect or damage the systems on Earth. LÄS MER

  5. 4. Unsupervised machine learning to detect patient subgroups in electronic health records

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

    Författare :Elin Lütz; [2019]
    Nyckelord :Machine learning; unsupervised learning; clustering; EHR; electronic health records; ICD; diagnosis codes.; Maskininlärning; oövervakat lärande; klustring; EHR; digitala patientjournaler; ICD; diagnoskoder;

    Sammanfattning : The use of Electronic Health Records (EHR) for reporting patient data has been widely adopted by healthcare providers. This data can encompass many forms of medical information such as disease symptoms, results from laboratory tests, ICD-10 classes and other information from patients. LÄS MER

  7. 5. An evaluation of the expressive power and performance of JSON-to-JSON transformation languages

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

    Författare :Elias Al-Tai; [2018]
    Nyckelord :Transformation Language; JSON; XML; Expressive Power;

    Sammanfattning : JSON-to-JSON transformation languages enable the transformation of a JSON document into another JSON document. As JSON is gradually becoming the most used interchange format on the Internet there is a need for transformation languages that can transform the data stored in JSON in order for the data to be used with other systems. LÄS MER