Sökning: "driver model"

Visar resultat 1 - 5 av 603 uppsatser innehållade orden driver model.

  1. 1. Challenges in Specifying Safety-Critical Systems with AI-Components

    Master-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknik

    Författare :Iswarya Malleswaran; Shruthi Dinakaran; [2023-09-26]
    Nyckelord :Software engineering; Requirement engineering; Specification; Safety; Computer Science; Engineering; Machine learning; Deep learning; Runtime monitor; Data Selection; Data Collection;

    Sammanfattning : Safety is an important feature in automotive industry. Safety critical system such as Advanced Driver Assistance System (ADAS) and Autonomous Driving (AD) follows certain processes and procedures in order to perform the desired function safely. LÄS MER

  3. 2. The illiquidity exposure factor: An overlooked driver of mutual fund performance

    Master-uppsats, Göteborgs universitet/Graduate School

    Författare :Jakob Häger; Tim Hansson; [2023-06-29]
    Nyckelord :Illiquidity; liquidity; mutual funds; fund performance; factor models; alpha;

    Sammanfattning : This paper examines if Swedish-focused mutual funds with more illiquid holdings produce higher alpha. By extending the classic Fama and French five-factor model, we pinpoint the effect of illiquidity in underlying holdings on mutual fund alpha generation through a two-step regression model with data between 2019-2022. LÄS MER

  4. 3. DRIVER ENGAGEMENT User experience of static & dynamic interaction and engagement in Non-Driving Related Activities in Automated Vehicles - An experimental study

    Kandidat-uppsats, Institutionen för tillämpad informationsteknologi

    Författare :Elin Johansson; Sara Börjesson; [2023-05-19]
    Nyckelord :Non-Driving Related Activities; Take-over Request; SAE Level 4; Engagement; Situational Awareness; Self Assessment Manikin; The Contextual Control Model; Take-Over Scenario;

    Sammanfattning : The rapid development of automation in vehicles is reshaping the role of the driver and consequently changing driver behavior. This study is based on the SAE level 4 of automation, i.e the autonomous vehicle (AV) can drive fully autonomously in a conditioned area. LÄS MER

  5. 4. Drivers of sea level variability using neural networks

    Master-uppsats, Göteborgs universitet/Institutionen för geovetenskaper

    Författare :Linn Carlstedt; [2023-05-10]
    Nyckelord :;

    Sammanfattning : Understanding the forcing of regional sea level variability is crucial as many people all over the world live along the coasts and are endangered by extreme sea levels and the global sea level rise. The adding of fresh water into the oceans due to melting of the Earth’s land ice together with thermosteric changes has led to a rise of the global mean sea level with an accelerating rate during the twentieth century. LÄS MER

  7. 5. Primary Drivers of Sea Level Variability in the North – Baltic Sea Transition Using Machine Learning

    Master-uppsats, Göteborgs universitet/Institutionen för geovetenskaper

    Författare :David Ek; [2023-01-09]
    Nyckelord :;

    Sammanfattning : Global mean sea level is rising, however not uniformly. Regional deviations of sea surface height (SSH) are common due to local drivers, including surface winds, ocean density stratifications, vertical land- & crustal movements and more. LÄS MER