Sökning: "SVM classifier"

Visar resultat 1 - 5 av 86 uppsatser innehållade orden SVM classifier.

  1. 1. Predicting Breakdowns in Transportation Vehicles using Supervised Learning

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

    Författare :Shuo Li; [2023]
    Nyckelord :Breakdown Prediction; Transportation Vehicles; Diagnose; Gradient Boosting Classifier; Ensemble Model; Förutsägelse av haveri; transportfordon; diagnos; Gradient Boosting Classifier; Ensemblemodell;

    Sammanfattning : Vehicle breakdowns can lead to fatal accidents, increase costs and reduce productivity. Therefore, robust and accurate fault diagnosis and prediction systems are critical to ensure the proper operation of vehicles. Many researchers have used machine learning for the prediction of vehicle breakdowns. LÄS MER

  3. 2. Comparision of Machine Learning Algorithms on Identifying Autism Spectrum Disorder

    Kandidat-uppsats, Blekinge Tekniska Högskola/Institutionen för datavetenskap

    Författare :Naga Sai Gayathri Aravapalli; Manoj Kumar Palegar; [2023]
    Nyckelord :Autism Spectrum Disorder ASD ; Classification; Data pre-processing; Feature selection; Machine learning algorithms; Random Forest Classifier; Support Vector Classifier.;

    Sammanfattning : Background: Autism Spectrum Disorder (ASD) is a complex neurodevelopmen-tal disorder that affects social communication, behavior, and cognitive development.Patients with autism have a variety of difficulties, such as sensory impairments, at-tention issues, learning disabilities, mental health issues like anxiety and depression,as well as motor and learning issues. LÄS MER

  4. 3. Predicting Customer Churn and Customer Lifetime Value (CLV) using Machine Learning

    Master-uppsats, Lunds universitet/Matematisk statistik

    Författare :Magnus Gerde; [2023]
    Nyckelord :Churn; CLV; SVM; Logistic Regression; Linear Regression; Random Forest Model; Mathematics and Statistics;

    Sammanfattning : In an evermore competitive environment for companies and business, predictive customer behaviour models can give companies a competitive edge over its competitors. Two such important predictive behaviour models are customer churn models and customer lifetime value (CLV) models. LÄS MER

  5. 4. Blink detection in eye tracking

    Kandidat-uppsats, KTH/Skolan för teknikvetenskap (SCI)

    Författare :Sean Howat; [2023]
    Nyckelord :Eyetracking; Blink detection; SVM;

    Sammanfattning : This report discusses the accuracy of blink detection in eye tracking, using machine learningalgorithms. Blink detection is used in a wide variety of medicinal and psychological applica-tions such as a controller for motor impaired individuals. Image classification has recentlybeen used in eye tracking and blink detection applications. LÄS MER

  7. 5. Predicting SNI Codes from Company Descriptions : A Machine Learning Solution

    Kandidat-uppsats, Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)

    Författare :Erik Lindholm; Jonas Nilsson; [2023]
    Nyckelord :Machine learning; text classification; SNI; Naive Bayes; SVM; oversampling; undersampling;

    Sammanfattning : This study aims to develop an automated solution for assigning area of industry codes to businesses based on the contents of their business descriptions. The Swedish standard industrial classification (SNI) is a system used by Statistics Sweden (SCB) for categorizing businesses for their statistics reports. LÄS MER