Sökning: "non-linear analysis"

Visar resultat 6 - 10 av 275 uppsatser innehållade orden non-linear analysis.

  1. 6. Classifying Previous Covid-19 Infection : Advanced Logistic Regression Approach

    Uppsats för yrkesexamina på avancerad nivå, Umeå universitet/Institutionen för matematik och matematisk statistik

    Författare :Daniel Westerholm; [2023]
    Nyckelord :Covid-19; logistic regression; clustering;

    Sammanfattning : The study aimed to developed a logistic model based on antibody proteins, vaccinations and demographic factors that predicts previous infection in Covid-19. The data set comprised of 2750 individuals from eldercare homes in Sweden, with four test dates executed between October of 2021 and August of 2022. LÄS MER

  3. 7. Wavelength-dependent limb darkeningin the analysis oftransit spectroscopy of exoplanets

    L3-uppsats, Uppsala universitet/Institutionen för fysik och astronomi

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

    Sammanfattning : Limb darkening, an optical effect characteristic of stars, where the limb (edge) seemsto be darker than the centre of the stellar body; plays an important role in our under-standing of exoplanetary transits, as it is fundamental for developing light curve modelsthat can help to undercover extrasolar companions. To recover atmospheric featuresfrom exoplanets, a principal component analysis method is typically used. LÄS MER

  4. 8. Mapping of Dependent Structural Responses on a Prestressed Concrete Bridge using Machine Learning Regression Analysis and Historical Data : A Comparison of Different Non-linear Regression Approaches

    L1-uppsats, Umeå universitet/Institutionen för datavetenskap

    Författare :Vedad Coric; [2023]
    Nyckelord :Prestressed Concrete Bridges; Structural health Monitoring; Machine Learning; Regression analysis; Infrastructure management;

    Sammanfattning : Prestressed concrete bridges are susceptible to deterioration over time which might significantly affect their capacity and overall performance. In previous decades, infrastructure owners have found that continuous monitoring of these assets is a valuable tool for their management as it facilitates the decision-making process regarding the intervention strategies required. LÄS MER

  5. 9. A Machine Learning Approach on Analysis of Emission Spectra for Application in XFEL Experiments

    Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Institutionen för fysik och astronomi

    Författare :Harald Agelii; [2023]
    Nyckelord :Structural biology; Machine learning; Neural networks; emission spectrum; XFEL; X-ray free electron laser; SFX; Serial femtosecond X-ray crystallography; Proteins; Diagnostics;

    Sammanfattning : In this thesis we investigate two potential applications of machine learning in the context of X-ray imaging and spectroscopy of biological samples, particularly such using X-ray free electron lasers (XFEL). We first investigate the possibility of using an emission spectrum, recorded from a sample after being probed by an incident X-ray, as a diagnostic tool. LÄS MER

  7. 10. Risk Stratification of Endometriosis through Machine Learning using Lifestyle Data : An Extensive Analysis on Lifestyle Data to Reveal Patterns in People with Endometriosis

    Master-uppsats, KTH/Skolan för kemi, bioteknologi och hälsa (CBH)

    Författare :Patrick Carrera Jeri; [2023]
    Nyckelord :Lifestyle fators; Machine learning; Risk stratification; Endometriosis; Livsstilsfaktorer; Maskininlärning; Riskstratifiering; Endometrios;

    Sammanfattning : Endometriosis affect 11% of women of reproductive years worldwide. The project made use of lifestyle factors coming from the Lucy application. LÄS MER