Sökning: "segmentering"

Visar resultat 1 - 5 av 244 uppsatser innehållade ordet segmentering.

  1. 1. INNE ELLER UTE? Flexicurity som lösning på en arbetsmarknad uppdelad mellan insiders och outsiders

    Kandidat-uppsats, Göteborgs universitet/Statsvetenskapliga institutionen

    Författare :Martin Aronsson; [2019-04-18]
    Nyckelord :arbetsmarknad; flexibilitet; flexicurity; insiders; outsiders; segmentering; trygghet; Dualization; Flexicurity; Flexibility; Insiders; Labour market; Outsiders; Security;

    Sammanfattning : This thesis intends to see if countries with flexicurity have a less dualized labour market between insiders and outsiders, due to a higher balance between flexibility and security. Previous research has in various ways measured the impact of flexicurity on the labour market as well as the state of the dualization between insiders and outsiders. LÄS MER

  2. 2. Artificiell Intelligens inom medicinsk bilddiagnostik : En allmän litteraturstudie

    Kandidat-uppsats, Luleå tekniska universitet/Institutionen för hälsovetenskap; Luleå tekniska universitet/Institutionen för hälsovetenskap

    Författare :Mats Rönnqvist; Magnus Johansson; [2019]
    Nyckelord :Artificial Intelligence; AI; Deep Learning; Machine Learning; CADe; CADx; Artificiell Intelligens; AI; djupinlärning; maskininlärning; CADe; CADx;

    Sammanfattning : Bakgrund: Artificiell Intelligens (AI) kommer in i vårt samhälle och våra hem i allt större utsträckning. Inom sjukvården och radiologin kan AI utgöra ett hjälpmedel för både radiologer och röntgensjuksköterskor i deras profession. LÄS MER

  3. 3. Adaptable Semi-Automated 3D Segmentation Using Deep Learning with Spatial Slice Propagation

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

    Författare :Niels Agerskov; [2019]
    Nyckelord :Deep learning; spatial propagation; image segmentation; semi-automated;

    Sammanfattning : Even with the recent advances of deep learning pushing the field of medical image analysis further than ever before, progress is still slow due to limited availability of annotated data. There are multiple reasons for this, but perhaps the most prominent one is the amount of time manual annotation of medical images takes. LÄS MER

  4. 4. Segmenting Observed Time Series Using Comovement and Complexity Measures

    Master-uppsats, KTH/Matematisk statistik

    Författare :Lee Norgren; [2019]
    Nyckelord :Time Series; Correlation; Baur Comovement; Kolmogorov Complexity; Tidsserie; Korrelation; Baur Comovement; Kolmogorovkomplexitet;

    Sammanfattning : Society depends on unbiased, efficient and replicable measurement tools to tell us more truthfully what is happening when our senses would otherwise fool us. A new approach is made to consistently detect the start and end of historic recessions as defined by the US Federal Reserve. LÄS MER

  5. 5. Estimating the probability of event occurrence

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

    Författare :Alexandre Guinaudeau; [2019]
    Nyckelord :;

    Sammanfattning : In complex systems anomalous behaviors can occur intermittently and stochastically. In this case, it is hard to diagnose real errors among spurious ones. These errors are often hard to troubleshoot and require close attention, but troubleshooting each occurrence is time-consuming and is not always an option. LÄS MER