Sökning: "SVM classification"

Visar resultat 6 - 10 av 215 uppsatser innehållade orden SVM classification.

  1. 6. Comparative Analysis of Machine Learning Algorithms for Biometric Iris Recognition Systems

    Kandidat-uppsats, Blekinge Tekniska Högskola/Institutionen för datavetenskap

    Författare :Vishnu Kiran Dabbara; Neeraj Bala; [2023]
    Nyckelord :Computing Methodologies; Machine Learning; Neural Networks; Feature Extraction; Biometrics;

    Sammanfattning : Background: Biometric identification plays a crucial role in various industries such as retail, and banking. Among the different biometric traits, iris patterns have become a reliable means of identification due to their unique features. In our thesis, we focus on evaluating and comparing different machine learning algorithms for irisrecognition. LÄS MER

  3. 7. 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

  4. 8. Evaluation of machine learning models for classifying malicious URLs

    Uppsats för yrkesexamina på grundnivå, Högskolan i Gävle/Datavetenskap

    Författare :Shayan Abad; Hassan Gholamy; [2023]
    Nyckelord :Machine learning; Cyber security; Classification; Malicious URL; Instance selection;

    Sammanfattning : Millions of new websites are created daily, making it challenging to determine which ones are safe. Cybersecurity involves protecting companies and users from cyberattacks. Cybercriminals exploit various methods, including phishing attacks, to trick users into revealing sensitive information. LÄS MER

  5. 9. Uncertainty Analysis : Severe Accident Scenario at a Nordic Nuclear Power Plant

    Master-uppsats, Högskolan Dalarna/Institutionen för information och teknik

    Författare :Josefin Hedly; Mikaela De Young; [2023]
    Nyckelord :Nuclear power plant; microdata analysis; Random Forest; k-Nearest Neighbor; SVM;

    Sammanfattning : Nuclear Power Plants (NPP) undergo fault and sensitivity analysis with scenario modelling to predict catastrophic events, specifically releases of Cesium 137 (Cs-137). The purpose of this thesis is to find which of 108 input-features from Modular Accident Analysis Program (MAAP)simulation code are important, when there is large release of Cs-137 emissions. LÄS MER

  7. 10. 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