Sökning: "surrogate parameters"

Visar resultat 1 - 5 av 25 uppsatser innehållade orden surrogate parameters.

  1. 1. The Effects of Periodontal Treatment on Atherosclerosis : A Systematic Review

    Master-uppsats, Malmö universitet/Odontologiska fakulteten (OD)

    Författare :Ifrah Ahmed; [2023]
    Nyckelord :Atherosclerosis; Atherosclerotic cardiovascular disease; Cardiovascular disease; Periodontal disease; Periodontitis;

    Sammanfattning : Aim: The aim of the study was to systematically review the evidence from clinical intervention trials evaluating the effect of periodontal treatment (PT) on surrogate markers on individuals diagnosed with periodontal disease (PD) and atherosclerotic cardiovascular disease (ACVD). The systematic review was based on quantitative literature. LÄS MER

  3. 2. Fast Simulations of Radio Neutrino Detectors : Using Generative Adversarial Networks and Artificial Neural Networks

    Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Högenergifysik

    Författare :Anton Holmberg; [2022]
    Nyckelord :Askaryan emission; Radio detection of neutrinos; in-ice propagation; neutrino; Generative adversarial networks; GAN; WGAN; Neural networks; NN; surrogate model; IceCube; deep learning; generative model;

    Sammanfattning : Neutrino astronomy is expanding into the ultra-high energy (>1017eV) frontier with the use of in-ice detection of Askaryan radio emission from neutrino-induced particle showers. There are already pilot arrays for validating the technology and the next few years will see the planning and construction of IceCube-Gen2, an upgrade to the current neutrino telescope IceCube. LÄS MER

  4. 3. Uncertainty quantification for offshore wind turbines

    Master-uppsats, KTH/Matematik (Avd.)

    Författare :Ziming Wang; [2022]
    Nyckelord :wind energy; uncertainty propagation; polynomial chaos; Rosenblatt transformation; quadrature; regression; vindenergi; osäkerhetsutbredning; polynomkaos; Rosenblatt transformation; kvadratur; regression;

    Sammanfattning : Wind energy is a field with a large number of uncertainties. The random nature of the weather conditions, including wind speed, wind direction, and turbulence intensity, influences the energy output and the structural safety of a wind farm, making its performance fluctuate and difficult to predict. LÄS MER

  5. 4. Nonlinear Methods of Aerodynamic Data-driven Reduced Order Modeling

    Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Avdelningen för beräkningsvetenskap

    Författare :Arvid Forsberg; [2022]
    Nyckelord :machine learning; aerodynamics; autoencoder; kernel transformation; principal component analysis; nonlinear; regression; modeling; surrogate model; reduced order modeling; neural network;

    Sammanfattning : Being able to accurately approximate outputs of computationally expensive simulations for arbitrary input parameters, also called missing points estimation, is central in many different areas of research and development with applications ranging from uncertainty propagation to control system design to name a few. This project investigates the potential of kernel transformations and nonlinear autoencoders as methods of improving the accuracy of the proper orthogonal decomposition method combined with regression. LÄS MER

  7. 5. Inverse Uncertainty Quantification for Sounding Rocket Dispersion

    Master-uppsats, KTH/Matematik (Avd.)

    Författare :Tove Ågren; [2022]
    Nyckelord :Uncertainty quantification; Bayesian inference; Rocket dispersion; Neural networks; Markov Chain Monte Carlo.; Osäkerhetskvantifiering; Bayesiansk inferens; Raketspridning; Neurala nätverk; Markovkedje-Monte Carlo;

    Sammanfattning : Sounding rocket impact points are subject to dispersion due to uncertainties in simulation model parameters and perturbations of the rocket trajectory during flight. Estimating the area of dispersion assumes that associated model uncertainties and magnitude of perturbations have already been inferred. LÄS MER