Sökning: "time series data"

Visar resultat 16 - 20 av 1411 uppsatser innehållade orden time series data.

  1. 16. FROM AID TO EMPOWERMENT Evaluating the Impact of Democracy Assistance on Civil Society across 128 countries from 2005 to 2021

    Master-uppsats, Göteborgs universitet/Statsvetenskapliga institutionen

    Författare :Marike Blanken; [2023-06-20]
    Nyckelord :aid effectiveness; civil society; democracy assistance; democratisation; authoritarian regimes;

    Sammanfattning : Civil society organisations (CSOs) are key players in democratisation processes. Consequently, a substantial part of foreign democracy assistance is directed at promoting civil society in recipient countries. A growing body of research indicates that support for democratisation is linked to higher levels of democracy. LÄS MER

  3. 17. “QUALITY OF GOVERNMENT- FOR ALL?” QoG & Migrants' equal access to social rights

    Master-uppsats, Göteborgs universitet/Statsvetenskapliga institutionen

    Författare :Frida Jonsson; [2023-01-23]
    Nyckelord :Migrants´ social rights; Quality of government; elites; public opinion; time-series cross-section data;

    Sammanfattning : The extent to which migrants can enjoy equal social rights as citizens vary between liberal democracies. Quality of government has been at the center of recent decades´ debates on states´ non-partial treatment of citizens. LÄS MER

  4. 18. Predicting Patent Data using Wavelet Regression and Bayesian Machine Learning

    Master-uppsats, KTH/Matematik (Avd.)

    Författare :Mattias Martinsen; [2023]
    Nyckelord :Wavelet; Regression; Bayesian network; Prediction; Patent; Machine Learning; Wavelet; Regression; Bayesiskt nätverk; Predicering; Patent; Maskininlärning;

    Sammanfattning : Patents are a fundamental part of scientific and engineering work, ensuringprotection of inventions owned by individuals or organizations. Patents areusually made public 18 months after being filed to a patent office, whichmeans that current publicly available patent data only provides informationabout the past. LÄS MER

  5. 19. Neural Network-based Anomaly Detection Models and Interpretability Methods for Multivariate Time Series Data

    Master-uppsats, Stockholms universitet/Institutionen för data- och systemvetenskap

    Författare :Deepthy Prasad; Swathi Hampapura Sripada; [2023]
    Nyckelord :multivariate - time series; anomaly detection; neural networks; autoencoders; interpretability; counterfactuals;

    Sammanfattning : Anomaly detection plays a crucial role in various domains, such as transportation, cybersecurity, and industrial monitoring, where the timely identification of unusual patterns or outliers is of utmost importance. Traditional statistical techniques have limitations in handling complex and highdimensional data, which motivates the use of deep learning approaches. LÄS MER

  7. 20. Enabling Hybrid Real Time and Retrospectively Gated Imaging in a Numerical Phantom

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

    Författare :Sara Mineur; [2023]
    Nyckelord :Cardiovascular Magnetic resonance Imaging CMR ; Sector Wise Golden-Angle SWIG ;

    Sammanfattning : Sector-Wise Golden Angle (SWIG) is a novel approach that was developed to address the limitations associated with Golden Angle radial imaging, commonly used for high temporal resolution flow measurements. Golden angle radial imaging is a time-efficient method that effectively reduces motion sensitivity. LÄS MER