Sökning: "ensemble"

Visar resultat 21 - 25 av 547 uppsatser innehållade ordet ensemble.

  1. 21. Data Assimilation for Systems with Multiple Timescales

    Kandidat-uppsats, KTH/Skolan för teknikvetenskap (SCI)

    Författare :Dan Vicente Ihanus; [2023]
    Nyckelord :Mathematics; Partial Differential Equations; Numerical analysis; Data assimilation; Numerical weather prediction; Ensemble Kalman Filter;

    Sammanfattning : This text provides an overview of problems in the field of data assimilation. We explore the possibility of recreating unknown data by continuously inserting known data into certain dynamical systems, under certain regularity assumptions. LÄS MER

  3. 22. Deep Neural Networks as SurrogateModels for Fuel Performance Codes

    Kandidat-uppsats, Uppsala universitet/Tillämpad kärnfysik

    Författare :Wenhan Zhou; [2023]
    Nyckelord :Transuranus; AI; Nuclear Fuel Rods;

    Sammanfattning : The core component of a nuclear power plant is the reactor and the fuel rods that supply it with fission fuel. Efficient and safe energy extraction is thus highly dependent on the reactor design and the conditions of the fuel rods. To anticipate high-quality operation and potential risks in advance, one must perform simulations on the fuel rods. LÄS MER

  4. 23. Deep learning-based segmentation of anatomical structures in MR images

    Master-uppsats, Linköpings universitet/Avdelningen för medicinsk teknik

    Författare :Rasmus Ledberg; [2023]
    Nyckelord :MRI; deep learning; segmentation;

    Sammanfattning : Magnetic resonance imaging (MRI) is a powerful imaging tool for diagnostics, which AMRA uses to segment and quantify certain anatomical regions. This thesis investigate the possibilities of using deep learning for the particular task of AMRAs segmentation, both for ordinary regions (fat and muscle regions) and injured muscles. LÄS MER

  5. 24. Determining Protein Conformational Ensembles by Combining Machine Learning and SAXS

    Master-uppsats, KTH/Tillämpad fysik

    Författare :Samuel Eriksson Lidbrink; [2023]
    Nyckelord :AlphaFold; AlphaFold2; SAXS; protein conformational ensembles; machine learning; protein conformations; reweighting; SAXS; AlphaFold; AlphaFold2; proteinkonformationsensembler; maskininlärning; proteinkonformationer; omviktning;

    Sammanfattning : In structural biology, immense effort has been put into discovering functionally relevant atomic resolution protein structures. Still, most experimental, computational and machine learning-based methods alone struggle to capture all the functionally relevant states of many proteins without very involved and system-specific techniques. LÄS MER

  7. 25. WSA-ENLIL + Cone ensemble modeling of an Earth-directed ICME : Comparison with in-situ observations by Solar Orbiter and WIND at L1

    Master-uppsats, Uppsala universitet/Institutionen för fysik och astronomi; Uppsala universitet/Institutet för rymdfysik, Uppsalaavdelningen

    Författare :Alberto García Ribas; [2023]
    Nyckelord :;

    Sammanfattning : Coronal mass ejections (CMEs) are considered the most energetic phenomenon in the heliosphere. Originated in the solar corona, they are formed by ejected plasma driven by strong magnetic fields. LÄS MER