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Bachelor's Thesis
Object Tracking System (VidIT)
Abstract This thesis investigates, if an IT product can increase learning in an online setting. Information is included in regards of learning and the development of VidIT, which is an automated tracking system powered by a smartphone and an Arduino.
Frederik Mads Pil
,
Mathias Højte Olsen
,
Mathias Dashtbani Mikkelsen
Jun 4, 2021
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Building a Gamified Habit Application
Abstract A large part of human behaviour is a function of habits, and thus habits have a notable influence on the well-being of the individual. Although many mobile applications claim to support habit formation, there is a lack of habit applications that are based on theory of habit formation.
Emil Joakim Jensen Bartholdy
Aug 17, 2020
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Machine Learning in Android Applications
Abstract This project is motivated by the ever-increasing popularity of machine learning techniques for solving repetitive everyday tasks, as well as the availability and importance of smartphones in today’s society. The combination of the two creates an environment in which the use of machine learning for simplifying mundane tasks in mobile applications may be experimented with.
Michelle Lykke Blomgaard Karlsson
May 29, 2020
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Implementation of the Progressive Web App - Woodle
Abstract This project aims to create a native-like application on the web to test the current capabilities of Progressive Web Apps. Woodle is a Progressive Web App, which is an application run on the web, but with enhancements to create a native-like application.
Vilfred Sikker Dreijer
May 28, 2020
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Road Safety with Android Auto and Machine Learning
Abstract This thesis aims to research the question of how to predict road safety and how a driver can safely receive relevant information on road safety during a drive. This has become a relevant field of research, with sophisticated computing hardware available as a feature in cars.
Anton Tobias Jensen
May 26, 2020
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