Sökning: "Risk classification model"

Visar resultat 21 - 25 av 114 uppsatser innehållade orden Risk classification model.

  1. 21. An Investigation and Comparison of Machine Learning Methods for Selecting Stressed Value-at-Risk Scenarios

    Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Avdelningen för systemteknik

    Författare :Moa Tennberg; [2023]
    Nyckelord :Value-at-Risk; Total margin; Procyclicality; Machine learning; Binary classification; Supervised learning; Unsupervised learning; Random forest; Multilayer perceptron;

    Sammanfattning : Stressed Value-at-Risk (VaR) is a statistic used to measure an entity's exposure to market risk by evaluating possible extreme portfolio losses. Stressed VaR scenarios can be used as a metric to describe the state of the financial market and can be used to detect and counter procyclicality by allowing central clearing counterparities (CCP) to increase margin requirements. LÄS MER

  3. 22. Exploring the Feasibility of Exercise Detection on the Exxentric kBox Platform

    Master-uppsats, KTH/Medicinteknik och hälsosystem

    Författare :Mahyar Mehr; [2023]
    Nyckelord :Machine learning; Flywheel training; Exercise detection; Signal processing; Exxentric kBox platform; Automatic exercise classification; Feature engineering; Maskininlärning; Träning med svänghjul; Upptäckt av träning; Signalbehandling; Exxentric kBox-plattformen; Automatisk träningklassificering; Funktionsutveckling;

    Sammanfattning : Flywheel training is an increasingly popular training method that aids in the recovery process and promotes strength development while reducing the risk of re-injury. Additionally, automatic exercise classification offers athletes the convenience of effortlessly monitoring and tracking their training progress, enabling them to maintain consistency and achieve their fitness goals effectively. LÄS MER

  4. 23. How fast does the bathymetry change on the Swedish west coast? Modeling how fast the bathymetry change, to know where to prioritize new hydrographic surveys

    Master-uppsats, Göteborgs universitet/Institutionen för geovetenskaper

    Författare :Anna Olsson; [2022-06-28]
    Nyckelord :;

    Sammanfattning : The Swedish Maritime Administration is responsible for the passability and availability of vessels on the Swedish coast. They are doing hydrographical surveys to ensure the safety of the maritime transportation corridors on the coast. LÄS MER

  5. 24. Generating an information security classification model for satellite imagery and geographical information

    Master-uppsats, Linköpings universitet/Institutionen för datavetenskap

    Författare :Marcus Elander; Philip Gunnarsson; [2022]
    Nyckelord :Information security; Machine learning; Satellite imagery; Classification; Risk;

    Sammanfattning : Throughout history, geographical information has been vital in different contexts, such as national security matters, economics, geopolitics, military, and natural resources. Due to the various applications, geographical information has been handled as valuable and sensitive information. LÄS MER

  7. 25. Non-Bayesian Out-of-Distribution Detection Applied to CNN Architectures for Human Activity Recognition

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

    Författare :Serghei Socolovschi; [2022]
    Nyckelord :Human Activity Recognition; Deep Learning; Time Series; Uncertainty Estimation; Outofdistribution Detection; Convolutional Neural Network; Human Activity Recognition; Deep Learning; Tidsserie; Uppskattning av Osäkerheten; Outofdistribution Detection; Convolutional Neural Network;

    Sammanfattning : Human Activity Recognition (HAR) field studies the application of artificial intelligence methods for the identification of activities performed by people. Many applications of HAR in healthcare and sports require the safety-critical performance of the predictive models. LÄS MER