Sökning: "Regression Algorithms"

Visar resultat 1 - 5 av 300 uppsatser innehållade orden Regression Algorithms.

  1. 1. 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

  3. 2. 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

  4. 3. Decision Trees for Classification of Repeated Measurements

    Kandidat-uppsats, Linköpings universitet/Tillämpad matematik; Linköpings universitet/Tekniska fakulteten

    Författare :Julianna Holmberg; [2024]
    Nyckelord :Repeated Measurement Data; Growth Curve Model; Linear Discriminant Analysis; Decision Tree; Bootstrap Aggregating; CART; CART-LC;

    Sammanfattning : Classification of data from repeated measurements is useful in various disciplines, for example that of medicine. This thesis explores how classification trees (CART) can be used for classifying repeated measures data. LÄS MER

  5. 4. Predicting inflow and infiltration to wastewater networks based on temperature measurements

    Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Institutionen för informationsteknologi

    Författare :Martin Åsell; [2024]
    Nyckelord :Inflow and Infiltration; I I; CNN; Linear regression;

    Sammanfattning : Sewer pipelines are deteriorating due to aging and sub optimal material selections, leading to the infiltration of clean ground and rainfall water into the pipes. It is estimated that a significant portion (up to 40-50%) of the water entering wastewater treatment plants is actually clean infiltrated water. LÄS MER

  7. 5. Network Orientation and Segmentation Refinement Using Machine Learning

    Master-uppsats, Linköpings universitet/Institutionen för medicinsk teknik

    Författare :Michael Nilsson; Jonatan Kentson; [2023]
    Nyckelord :deep learning; semantic segmentation; orientation learning; road networks; retina networks;

    Sammanfattning : Network mapping is used to extract the coordinates of a network's components in an image. Furthermore, machine learning algorithms have demonstrated their efficacy in advancing the field of network mapping across various domains, including mapping of road networks and blood vessel networks. LÄS MER