Sökning: "Ensemble Modeling"

Visar resultat 1 - 5 av 19 uppsatser innehållade orden Ensemble Modeling.

  1. 1. 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

  3. 2. 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

  4. 3. Making Use of the Factor Zoo: An unpretentious attempt to predict asset returns using machine learning methods.

    Kandidat-uppsats, Göteborgs universitet/Institutionen för nationalekonomi med statistik

    Författare :Line Clausen; Jesper Strömberg; [2022-02-15]
    Nyckelord :;

    Sammanfattning : Factor modeling with the purpose of estimating assets returns is a dynamic and ever changing subject within finance. Recent literature has presented over 300 different fac-tors that seem to have significance in predicting asset returns. This new phenomenon in factor modeling has been dubbed ”The Factor Zoo”. LÄS MER

  5. 4. Modelling of nanometric cutting in metals using MD simulations

    Magister-uppsats, Lunds universitet/Mekanik

    Författare :Damien Gautier; [2022]
    Nyckelord :Nanometric cutting; Molecular Dynamics; Technology and Engineering;

    Sammanfattning : This master thesis project has been done within the Mechanics department of Lunds Tekniska Högskola (LTH). It studies the nanometric cutting process of a single crystal copper workpiece by a cubic diamond tool using Molecular Dynamics (MD) simulations on the software LAMMPS. LÄS MER

  7. 5. Employee Churn Prediction in Healthcare Industry using Supervised Machine Learning

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

    Författare :Anna Gentek; [2022]
    Nyckelord :Employee churn; Churn Prediction; Predictive modeling; Machine learning; Deep-Learning; Data mining; Binary Classification; Personalomsättning; Avhoppsanalys; Prediktiv Modellering; Maskininlärning; Datautvinning; Binär Klassificering;

    Sammanfattning : Given that employees are one of the most valuable assets of any organization, losing an employee has a detrimental impact on several aspects of business activities. Loss of competence, deteriorated productivity and increased hiring costs are just a small fraction of the consequences associated with high employee churn. LÄS MER