Sökning: "Efficacy Scale"
Visar resultat 1 - 5 av 185 uppsatser innehållade orden Efficacy Scale.
1. A Comparative Analysis of SecurityServices Using Identity and AccessManagement (IAM)
Kandidat-uppsats, Blekinge Tekniska Högskola/Institutionen för datavetenskapSammanfattning : Background: Identity and Access Management (IAM) is a critical IT securityframework for managing digital identities and resource access. With roots datingback to ancient civilizations, IAM has evolved from basic authentication to sophisticated methods. LÄS MER
2. Utvärdering av tunnelbrandsmodeller
Kandidat-uppsats, Lunds universitet/Avdelningen för BrandteknikSammanfattning : The purpose of this study was to investigate the predictive capabilities of hand-calculation methods and simulations using FDS in understanding the behavior of a tunnel fire in terms of temperature and incident radiation. Additionally, the study aimed to examine the repeatability of a large-scale fire experiment. LÄS MER
3. Image Quality Assessment Pipeline and Semi-Automated Annotation method for Synthetic Data
Master-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknikSammanfattning : Predicting human emotions through facial expression, particularly in relation to medication field such as clinical trial settings, has garnered scientific interest in recent years due to significant understanding of the impact of treatment on emotions and social functioning. This thesis aims to improve performance of a FER model using large scale of synthetic data. LÄS MER
4. Exploring the Efficacy of ChatGPT in Generating Requirements: An Experimental Study
Kandidat-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknikSammanfattning : This thesis explores the efficacy of ChatGPT in generating software requirements and compares its performance to human participants through an experimental study. The study addresses three main research questions (RQs), examining how ChatGPT-generated requirements align with human-written requirements, the variation in quality between different versions of ChatGPT using two additional sub-questions that look at improvement in quality from feedback and consistency of quality when the same prompt is queried multiple times, and the capacity of the Content at Scale AI detector in identifying AI-generated requirements. LÄS MER
5. Network Orientation and Segmentation Refinement Using Machine Learning
Master-uppsats, Linköpings universitet/Institutionen för medicinsk teknikSammanfattning : 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