Sökning: "computational modelling"

Visar resultat 6 - 10 av 237 uppsatser innehållade orden computational modelling.

  1. 6. Propulsion modelling of a generic submarine propeller

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

    Författare :Gustav Boman; [2023]
    Nyckelord :OpenFOAM; CFD; actuator line model; rotor disk; actuator disk; INSEAN E1619; propeller;

    Sammanfattning : Self propulsion modelling is important in order to accurately simulate ships and submarinesusing Computational Fluid Dynamics (CFD). However, fully resolved simulations of hull andpropeller geometries are computationally heavy and time consuming. As such there is a greatinterest in lower order CFD models of propellers. LÄS MER

  3. 7. Data Driven Model Identification for Remote Electrical Tilt Systems

    Master-uppsats, Uppsala universitet/Institutionen för informationsteknologi

    Författare :Raphaël Ashruf; [2023]
    Nyckelord :;

    Sammanfattning : This thesis explores the use of supervised machine learning for modelling the dynamics of Remote Electrical Tilt (RET) telecom systems. Three methodologies, including linear regressionfor linear dynamics models, Gaussian Process (GP) regression, and Recurrent Neural Networks (RNN) with Gated Recurrent Units (GRU) are proposed. LÄS MER

  4. 8. Learning in physics with simulation : Students’ needs & perceptions of the interaction with Algodoo, and learning in physics

    Master-uppsats, KTH/Skolan för industriell teknik och management (ITM)

    Författare :Seyma Ikra Koyuncu; [2023]
    Nyckelord :computational thinking; stem; simulations; physics; modelling; digital tools; digital content; computational thinking; stem; simulering; fysik; modellering; digitalt verktyg; digitalt innehåll;

    Sammanfattning : Initiatives to implement computational thinking and science, technology, engineering & modelling into learning processes have been taken by many authorities worldwide, and in Sweden as well. The Swedish government made changes in the high school curriculum in order to develop student’s digital competence including programming which has been in force since June 2018 (Skolverket, 2018). LÄS MER

  5. 9. Portfolio Risk Modelling in Venture Debt

    Master-uppsats, KTH/Matematisk statistik

    Författare :John Eriksson; Jacob Holmberg; [2023]
    Nyckelord :Startup Default Probability; Venture Debt; Gaussian Copula; Value-at-Risk; Expected Shortfall; Exposure at Default; Loss Given Default; Forecast; Linear Dynamic System; ARIMA Time Series; Monte Carlo Simulation; Linear Regression; Central Limit Theorem;

    Sammanfattning : This thesis project is an experimental study on how to approach quantitative portfolio credit risk modelling in Venture Debt portfolios. Facing a lack of applicable default data from ArK and publicly available sets, as well as seeking to capture companies that fail to service debt obligations before defaulting per se, we present an approach to risk modeling based on trends in revenue. LÄS MER

  7. 10. Credit Exposure Modelling Using Differential Machine Learning

    Master-uppsats, Lunds universitet/Matematisk statistik

    Författare :Måns Karp; Samuel Wagner; [2023]
    Nyckelord :Counterparty credit risk; Differential machine learning; Exposure modelling; Heston model; Option pricing; Mathematics and Statistics;

    Sammanfattning : Exposure modelling is a critical aspect of managing counterparty credit risk, and banks worldwide invest significant time and computational resources in this task. One approach to modelling exposure involves pricing trades with a counterparty in numerous potential future market scenarios. LÄS MER