Sökning: "Dataset simulation"

Visar resultat 1 - 5 av 103 uppsatser innehållade orden Dataset simulation.

  1. 1. Reconstructing point patterns from spatially aggregated data

    Master-uppsats, Göteborgs universitet/Institutionen för matematiska vetenskaper

    Författare :Jens Michelsen; [2024-03-13]
    Nyckelord :lorem; ipsum; dolor; sit; amet; consectetur; adipisicing; elit; sed; do.;

    Sammanfattning : In this thesis we explore the ability to reconstruct samples (point configurations) from a point process, based only on the information contained in spatially aggregated data, namely the number of points in the partitions of a larger region. The ability to reconstruct a point configuration, in such a way that it retains most of it’s statistical properties, could be useful in cases where one is faced with a mixed dataset; some regions containing the full point configuration data, while other regions only contain aggregated data, i. LÄS MER

  3. 2. Resource Usage Prediction for Parameter Sweeps with Biochemical System Simulations

    Master-uppsats, Uppsala universitet/Tillämpad beräkningsvetenskap

    Författare :Minjia Zhou; [2024]
    Nyckelord :;

    Sammanfattning : Exploring the behavior of biochemical systems when subjected to certain internal and external changes is fascinating, and these variations can be investigated through computational simulations. However, the computational cost of simulations is often quite high, necessitating an understanding of the computational requirements and resource utilization of these simulations. LÄS MER

  4. 3. An Evaluation of Artificial Neural Networks as an alternative to Example-Based Crowd Simulation

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

    Författare :Malte Blomqvist; Morris Hansing; [2023]
    Nyckelord :;

    Sammanfattning : In the ever-developing field of crowd simulation several different algorithms have been proposed to enable data-driven simulations: methods using real-life data to generate realistic pedestrian movements. With different use-cases and trade-offs it is vital to understand the particulars of each approach. LÄS MER

  5. 4. Utvärdering av rule of ten för logistisk regression

    Kandidat-uppsats, Umeå universitet/Statistik

    Författare :Tobias Boman; Jakob Vinberg; [2023]
    Nyckelord :;

    Sammanfattning : Tidigare studier har visat att koefficientskattningar för logistisk regression inte är pålitliga när EPV (events per variable, händelser per variabel) är lågt. Baserat på dessa studier har en tumregel på minst 10 EPV föreslagits. Tumregeln kallas ’rule of ten’ och är vad som har undersökts i den här studien. LÄS MER

  7. 5. Simulating metal ct artefacts for ground truth generation in deep learning.

    Master-uppsats, Lunds universitet/Avdelningen för Biomedicinsk teknik

    Författare :Arthur Barakat; [2023]
    Nyckelord :Technology and Engineering;

    Sammanfattning : CT scanning stands as one of the most employed imaging techniques used in clinical field. In the presence of metal implants in the field of view (FOV), distortions and noise appear on the 3D image leading to inaccurate bone segmentation, often required for surgery planning or implant design. LÄS MER