Sökning: "Non linear"

Visar resultat 1 - 5 av 1304 uppsatser innehållade orden Non linear.

  1. 1. RÖSTAR INVANDRINGSKRITISKA INVANDRARE OCKSÅ PÅ INVANDRINGSKRITISKA PARTIER? En kvantitativ studie av personer med invandrarbakgrunds röstning invandringskritiska partier

    Kandidat-uppsats, Göteborgs universitet/Statsvetenskapliga institutionen

    Författare :Viktor Bergesen; [2024-03-18]
    Nyckelord :Voting behavior; far right parties; anti-immigration;

    Sammanfattning : Standard explanations of voting behavior of people with immigrant background and anti immigrant sentiments would predict people with an immigrant background to not vote for anti-immigration parties. However, this does not seem to be the case. LÄS MER

  3. 2. Test Equipment for the LUCAS Chest Compression System: Incorporating Biomechanical Insights for Future Design Enhancements

    Master-uppsats, Lunds universitet/Avdelningen för Biomedicinsk teknik

    Författare :Ester Pörtfors; Malin Svärdling; [2024]
    Nyckelord :Mechanical CPR; Cardiopulmonary Resuscitation; LUCAS Chest Compression System; Test Equipment; Chest Biomechanics; Chest Stiffness; Technology and Engineering;

    Sammanfattning : The LUCAS Chest Compression System is a market leading mechanical cardiopulmonary resuscitation device, assisting medical professionals worldwide when treating patients with sudden cardiac arrest. The objective of this master thesis project was to develop a new, adjustable test equipment for the LUCAS device, allowing for tests on varying chest heights and stiffness levels. LÄS MER

  4. 3. Self-Supervised Learning for Tabular Data: Analysing VIME and introducing Mix Encoder

    Kandidat-uppsats, Lunds universitet/Fysiska institutionen

    Författare :Max Svensson; [2024]
    Nyckelord :Machine Learning; Self-supervised learning; AI; Physics; Medicine; Physics and Astronomy;

    Sammanfattning : We introduce Mix Encoder, a novel self-supervised learning framework for deep tabular data models based on Mixup [1]. Mix Encoder uses linear interpolations of samples with associated pretext tasks to form useful pre-trained representations. LÄS MER

  5. 4. Predicting Lithium-Ion Battery State of Health using Linear Regression

    Kandidat-uppsats, Uppsala universitet/Statistiska institutionen

    Författare :Niklas Sundberg; [2024]
    Nyckelord :Lithium-Ion; Multiple Linear Regression; State of Health; Voltage Deviation;

    Sammanfattning : Knowledge of battery health is very important. It provides insight into the capacity of a given system and allows the operators to plan ahead more efficiently. But measuring state of health (SoH) of a battery is difficult, and takes time. More importantly, the battery needs to be taken out of operation to be analysed correctly. LÄS MER

  7. 5. Measuring the Utility of Synthetic Data : An Empirical Evaluation of Population Fidelity Measures as Indicators of Synthetic Data Utility in Classification Tasks

    Master-uppsats, Karlstads universitet/Institutionen för matematik och datavetenskap (from 2013)

    Författare :Alexander Florean; [2024]
    Nyckelord :Synthetic Data; Machine Learning; Population Fidelity Measures; Utility Metrics; Synthetic Data Quality Evaluation; Classification Algorithms; Utility Estimation; Data Privacy; Artificial Intelligence; Experiment Framework; Model Performance Assessment; Syntetisk Data; Maskininlärning; Population Fidelity Mätvärden; Användbarhetsmätvärden; Kvalitetsutvärdering av Syntetisk Data; Klassificeringsalgoritmer; Användbarhetsutvärdering; Dataintegritet; Artificiell Intelligens; AI; Experiment Ramverk; Utvärdering av Modellprestanda;

    Sammanfattning : In the era of data-driven decision-making and innovation, synthetic data serves as a promising tool that bridges the need for vast datasets in machine learning (ML) and the imperative necessity of data privacy. By simulating real-world data while preserving privacy, synthetic data generators have become more prevalent instruments in AI and ML development. LÄS MER