Sökning: "body correction"

Visar resultat 1 - 5 av 31 uppsatser innehållade orden body correction.

  1. 1. Exploring the Determinants of Agricultural Commodity Returns

    Master-uppsats, Göteborgs universitet/Graduate School

    Författare :Andreas Blidberg; Ludwig Skans; [2023-06-29]
    Nyckelord :Agricultural commodities; Energy commodities; Granger causality; Vector Error Correction Model; VECM; Impulse Response Functions; IRF;

    Sammanfattning : This paper investigates the Granger causal relations between agricultural commodity returns and several potential determinants using a multivariate Vector Error Correction Model (VECM) and Impulse Response Functions (IRF). Agricultural commodities are critical for global food supply, and understanding their determinants is crucial for policymakers and investors. LÄS MER

  3. 2. Attractiveness and Personality: Long- and Short-Term Relationships

    Kandidat-uppsats, Luleå tekniska universitet/Institutionen för hälsa, lärande och teknik

    Författare :Marta Jabczynska; [2023]
    Nyckelord :Short-term relationship; Long-term relationship; Physical attraction; Big-Five personality model; Kortvarig relation; Långvarig relation; Fysisk attraktion; Big-Five personlighetsmodell;

    Sammanfattning : When looking for a future partner, both attractiveness and personality play a part. The purpose of this study was to expand previous findings and investigate the difference between face and body choice and the ratings of body parts importance depending on if a person is considering a long- or short-term relationship. LÄS MER

  4. 3. Attenueringskorrektion för ett rörelsekorrigerande neuralt nätverk i PET-undersökningar

    Kandidat-uppsats, KTH/Medicinteknik och hälsosystem

    Författare :David Nissolle; Daniel Karlström; [2023]
    Nyckelord :PET; attenuation correction; motion correction; deep learning; M-MLEM; PET; attenueringskorrektion; rörelsekorrektion; djupinlärning; M-MLEM;

    Sammanfattning : Positronemissionstomografi är en väl använd modalitet som kan hjälpa till att ge information om olika organs tillstånd. Ett problem som kan uppstå när man utför undersökningar är att patientrörelser, i synnerhet andning, förvränger de resulterande bilderna. LÄS MER

  5. 4. Spatiotemporal PET reconstruction with Learned Registration

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

    Författare :Pierre Meyrat; [2022]
    Nyckelord :PET; Tomographic reconstruction; Deep Learning; MLEM; PET; Tomografisk rekonstruktion; Deep Learning; MLEM;

    Sammanfattning : Because of the long acquisition time of Positron Emission Tomography scanners, the reconstructed images are blurred by motion. We hereby propose a novel motion-correction maximum-likelihood expectation-maximization algorithm integrating 3D movements between the different gates estimated by a neural network trained on synthetic data with contrast invariance. LÄS MER

  7. 5. Optimization-Based Geometry Correction Of Blood Flow CFD Simulations Using 4D-Flow Data

    Master-uppsats, Lunds universitet/Institutionen för energivetenskaper

    Författare :Fritiof Hegardt; [2022]
    Nyckelord :Technology and Engineering;

    Sammanfattning : 4D-flow is a powerful tool capable of capturing 3-dimensional, time-resolved flow measurements of blood flow in the body. Their current use is limited by resolution and scan times. A proposed solution is to use Simulation Based Imaging (SBI). LÄS MER