Sökning: "Logistic"

Visar resultat 1 - 5 av 1732 uppsatser innehållade ordet Logistic.

  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. Prevalent Discord. Exploring and estimating the prevalence of the type of user disagreement on news media Facebook posts discussing the Colombian peace process (2020-2022)

    Master-uppsats, Lunds universitet/Graduate School

    Författare :Luis Felipe Villota Macias; [2024]
    Nyckelord :Agonistic peace; antagonism; big data analytics; binary logistic regression; computational content analysis; Colombia; Colombian peace process; discord; Facebook; machine learning; peace process; public opinion and sentiment; social media; Law and Political Science; Social Sciences;

    Sammanfattning : This thesis is dedicated to exploring and understanding public reactions within negotiated peace settlements based on social media data. Concretely, to modeling public opinion and sentiment within the context of the Colombian peace process using a curated dataset of N= ~1. LÄS MER

  4. 3. Predicting True Sepsis and Culture-positive Sepsis in Intensive Care Unit with Machine Learning Techniques

    Master-uppsats, Lunds universitet/Matematisk statistik

    Författare :Zeyuan Wu; [2024]
    Nyckelord :Machine Learning; Diagnosis of Sepsis; XGBoost; Logistic Regression; Mathematics and Statistics;

    Sammanfattning : Sepsis, a serious medical condition often leading to patients requiring intensive care, has prompted numerous scientists to employ mathematical techniques to aid in its diagnosis. This thesis uses logistic regression and a machine learning technique, XGBoost, to predict true sepsis (as opposed to sepsis mimics) and culture-positive sepsis (among true sepsis) in critical care using blood test results, physiological measurements and other patient characteristics. LÄS MER

  5. 4. Android Malware Detection Using Machine Learning

    Kandidat-uppsats, Blekinge Tekniska Högskola/Institutionen för datavetenskap

    Författare :Rahul Sai Kesani; [2024]
    Nyckelord :Malware; Machine Learning; Random Forest; Sequential Neural Network.;

    Sammanfattning : Background. The Android smartphone, with its wide range of uses and excellent performance, has attracted numerous users. Still, this domination of the Android platform also has motivated the attackers to develop malware. The traditional methodology which detects the malware based on the signature is unfit to discover unknown applications. LÄS MER

  7. 5. ESG Performance and Probability of Default

    C-uppsats, Handelshögskolan i Stockholm/Institutionen för redovisning och finansiering

    Författare :Julius Bengtsson; Magnus Fredriksson; [2024]
    Nyckelord :ESG; CSR; Stakeholder Theory; Probability of Default;

    Sammanfattning : This study aims to investigate how firms' ESG performance affects their probability of default for Nordic listed firms. Based on stakeholder theory as well as findings from previous literature, we hypothesise that this relationship is negative as our main hypothesis. LÄS MER