Sökning: "evaluation methods"
Visar resultat 21 - 25 av 3724 uppsatser innehållade orden evaluation methods.
21. Air quality around preschools in Gothenburg: an evaluation of measurement methods
Master-uppsats, Göteborgs universitet / Institutionen för biologi och miljövetenskapSammanfattning : In this study the air quality around four different preschools, chosen to represent different local traffic environments, was measured and the measurement methods used were evaluated. The aim was to compare the information retrieved using different methods, discuss the possible applications of them and finally see if more specific activities, in this case pick-ups and drop-offs, could be seen in the data retrieved. LÄS MER
22. Jag kan ta en pizzaslice och ett barn ifrån källaren tack! - En kritisk studie om desinformation och Pizzagate
Kandidat-uppsats, Göteborgs universitet/Institutionen för kulturvetenskaperSammanfattning : Pizzagate; How has the conspiracy theory been received by Twitter users? With this degree project, I will examine the fake news "Pizzagate" that was spread on Twitter in 2016 during the US presidential election, to then see what reception the misinformation received and how wildly it was spread by internet users. The purpose of this essay is to highlight the importance of source evaluation when using social media and that you, as a user, have an obligation to review the material before sharing. LÄS MER
23. OpenCourse: Gamification in Computer Science Education
Kandidat-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknikSammanfattning : Academic degrees in computer science suffer from the highest dropout rates among universities. As a result, there is a lack of technical professionals, which could threaten the digital infrastructure. LÄS MER
24. Neural Network-based Anomaly Detection Models and Interpretability Methods for Multivariate Time Series Data
Master-uppsats, Stockholms universitet/Institutionen för data- och systemvetenskapSammanfattning : Anomaly detection plays a crucial role in various domains, such as transportation, cybersecurity, and industrial monitoring, where the timely identification of unusual patterns or outliers is of utmost importance. Traditional statistical techniques have limitations in handling complex and highdimensional data, which motivates the use of deep learning approaches. LÄS MER
25. Optimising Machine Learning Models for Imbalanced Swedish Text Financial Datasets: A Study on Receipt Classification : Exploring Balancing Methods, Naive Bayes Algorithms, and Performance Tradeoffs
Kandidat-uppsats, Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)Sammanfattning : This thesis investigates imbalanced Swedish text financial datasets, specifically receipt classification using machine learning models. The study explores the effectiveness of under-sampling and over-sampling methods for Naive Bayes algorithms, collaborating with Fortnox for a controlled experiment. LÄS MER