Sökning: "experimental data"

Visar resultat 16 - 20 av 2016 uppsatser innehållade orden experimental data.

1. 16. The influence of data annotation process requirements on performance criteria of ML models

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

   Författare :Maab Mohammedali; Muntasir Adam; [2023-08-03]
   Nyckelord :;

   Sammanfattning : The data annotation process is a critical step in the development of machine learning (ML) models, as it entails labeling data to help supervised learning. This study investigates the impact of data annotation process requirements on the performance of ML models. LÄS MER

3. 17. Comparing the Locality Preservation of Z-order Curves and Hilbert Curves

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

   Författare :Alex Nordin; Adam Telles; [2023-08-03]
   Nyckelord :space-filling curve; software engineering; software testing;

   Sammanfattning : Developing and testing software in the automotive industry and in the research of autonomous vehicles requires the costly querying of multidimensional data recorded from such a vehicle’s various sensors. Through encoding such data using space filling curves, faster queries could be achieved by reducing multiple dimensions into a singular dimension, while exploiting the patterns that emerge in the one-dimensional representation to still get accurate search results. LÄS MER

4. 18. Exploring the Efficacy of ChatGPT in Generating Requirements: An Experimental Study

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

   Författare :Leila Bencheikh; Niklas Höglund; [2023-08-03]
   Nyckelord :ChatGPT; AI-detector accuracy; requirements; experimental study;

   Sammanfattning : 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. 19. DIFFERENTIAL OUTCOME TRAINING AND HUMANOID ROBOT FEEDBACK ON A VISUOSPATIAL GAMIFIED TASK: An experimental study investigating learning, affective social engagement cues and cognitive learning strategies

   Kandidat-uppsats, Institutionen för tillämpad informationsteknologi

   Författare :Alva Markelius; Sofia Sjöberg; [2023-02-01]
   Nyckelord :Human-robot interaction; gamified memory task; dementia; differential outcome theory; Furhat; engagement; digitalised treatments; robot assistance;

   Sammanfattning : By combining Differential Outcome Training (DOT), the usage of unique stimulus-response pairings, and feedback from a humanoid simulated robot (SDK) this study aims to improve learning performance of subjects on a visuospatial gamified memory task. This is achieved by using the SDK as an interface for an algorithm that provides audiovisual, reinforcing feedback promoting engangement in a new dyadic setup for a gamified task. LÄS MER

7. 20. Modelling Micropollutant Removal Through Ozonation in Wastewater

   Master-uppsats, Lunds universitet/Kemiteknik (CI)

   Författare :Maximiliano Andrés Oportus Foster; [2023]
   Nyckelord :Micropollutants; water reuse; wastewater treatment models; ozonation; computer modeling; water and environmental engineering; Technology and Engineering;

   Sammanfattning : Proper management of water resources is a key to climate change adaptation and resilience in modern societies. Adequate treatment of wastewater is essential for ensuring the sustainability of the water cycle and the health of the environment and the ecosystems that inhabit it. LÄS MER