Browsing Institutt for datateknologi og informatikk by Title
Now showing items 6253-6272 of 6620
-
Using live sensor data to monitor occupancy and environmental factors of study areas
(Master thesis, 2021)Et pilotprosjekt ble startet i 2018 på NTNU som mål å bruke smart-sensorer i rom for å overvåke klima og aktivitet innendørs. Så langt, har prosjektet forsket på nytten i å analysere datamengder samlet inn over flere dager ... -
Using machine learning for advertisement detection in podcasts
(Bachelor thesis, 2022)Bacheloren er skrevet av to dataingeniør studenter ved NTNU, våren 2022. Oppgaven er gitt over veiledet Donn Morrison, førstelektor ved NTNU. Oppgaven var å oppdage og annotere podcast lydfiler automatisk og dynamisk slik ... -
Using machine learning model explanations to identify proteins related to severity of meibomian gland dysfunction
(Peer reviewed; Journal article, 2023)Meibomian gland dysfunction is the most common cause of dry eye disease and leads to significantly reduced quality of life and social burdens. Because meibomian gland dysfunction results in impaired function of the tear ... -
Using machine learning model explanations to identify proteins related to severity of meibomian gland dysfunction
(Peer reviewed; Journal article, 2023)Meibomian gland dysfunction is the most common cause of dry eye disease and leads to significantly reduced quality of life and social burdens. Because meibomian gland dysfunction results in impaired function of the tear ... -
Using machine learning to balance metric trees
(Master thesis, 2006)The emergence of complex data objects that must to be indexed and accessed in databases has created a need for access methods that are both dynamic and efficient. Lately, metric tree structures have become a popular way ... -
Using Machine Learning to Detect Fraud and Predict Time Series
(Bachelor thesis, 2019)Kraftigere maskinvare og bedre maskinlæringsbibloteker gir nye muligheter for databehandling og analyse. Selv-lærende algoritmer har vist at de er i stand til å utkonkurrere menneskeskapte systmer i flere felt, og har blitt ... -
Using Masking and Location for Preposition SuperSense Detection
(Master thesis, 2020)Oppgaven fokuserer på hvordan bruk av plassering og maskering hjelper med å forbedre funnet av preposisjoner supersans. Oppgaven bygger en modell ved bruk av Keras og TensorFlow for å oppdage supersanser og bruker en ... -
Using modern game engines to provide a realistic virtual environment for on-the-job industrial training and education
(Master thesis, 2011)This thesis is based on work done at The Department of Computer and Information Science (IDI) at The Norwegian University of Tech- nology and Science (NTNU) in collaboration with the Serious Gam- ing Initiative at Statoil. ... -
Using Modern Vehicles as Mobile Sensors for Intelligent Traffic Awareness
(Doctoral theses at NTNU;2022:67, Doctoral thesis, 2022)Traffic management has become a critical problem with growing traffic congestion worldwide. As a result, the approaches to managing traffic tend to become smart, and Intelligent Traffic Management Systems (ITMSs) are ... -
Using Multimodal Learning Analytics to Explore how Children Experience Educational Motion-Based Touchless Games
(Peer reviewed; Journal article, 2020)Leveraging motion-based touchless games (MBTG) to support children’s learning is appealing and technically challenging. The application of multimodal learning analytics (MMLA) can help researchers to better understand how ... -
Using multispectral band combinations and deep learning for predicting ship behavior from satellite images
(Master thesis, 2021)Ulovlig fiske, piratvirksomhet og beskyttelse av ressurser er omfattende globale utfordringer. I dag er det begrenset sporbarhet for skip siden fartøysoperatører har muligheten til å slå av skipets navigasjonsmeldinger. ... -
Using Neural Networks to Determine the Origin of Medical Ultrasound Images
(Master thesis, 2017)This thesis investigates the possibility of using neural networks to determine the body location of medical ultrasound images. Neural networks were trained on several datasets of both synthetic and real ultrasound images, ... -
Using neural networks to support high-quality evidence mapping
(Peer reviewed; Journal article, 2021)Abstract Background: The Living Evidence Map Project at the Norwegian Institute of Public Health (NIPH) gives an updated overview of research results and publications. As part of NIPH’s mandate to inform evidence-based ... -
Using open vs. proprietary standards when developing applications for mobile devices
(Master thesis, 2012)This thesis discusses the possibilities and limitations when developing mobile ap- plications natively vs. HTML5. Research has been carried out to understand how mobile devices can be utilized to its fullest when running ... -
Using Public Displays for the Presentation of User Statistics
(Master thesis, 2008)The aim of the project has been to look at how the knowledge about statistics of use might influence the usage of a wireless network. The project has been conducted in cooperation with Wireless Trondheim. A public display ... -
Using Self-Sovereign Identity and Verifiable Data to improve public services
(Bachelor thesis, 2022)Symfoni ønsket å lage en demo for NAV som kunne vise hvordan EU Digital Wallet kan bli tatt i bruk når én søker om dagpenger. Resultatet ble en applikasjon som kjører i nettleseren og på mobilen, der brukeren er i kontroll ... -
Using Sensing Technologies to Explain Children’s Self-Representation in Motion-Based Educational Games
(Chapter, 2020)Motion-Based Touchless Games (MBTG) are being investigated as a promising interaction paradigm in children's learning experiences. Within these games, children's digital persona (i.e, avatar), enables them to efficiently ... -
Using Sentiment Analysis to Improve Course Recommendations for MOOCs
(Master thesis, 2023)Massive åpne nettkurs (MOOCer) har blitt brukt i e-læring det siste tiåret, og fremveksten deres eksploderte under COVID-19-pandemien. Nye kurs blir stadig tilgjengeliggjort, noe som gjør at studentene blir overveldet og ... -
Using similarity learning to enable decision support in aquaculture
(Doctoral theses at NTNU;2021:331, Doctoral thesis, 2021)Aquaculture (AQ) is an industry that cultivates food in water. This includes many types of seafood such as salmon, trout, and whitefish, as well as shellfish and algae. Farms for seafood production are typically described ... -
Using situational and narrative analysis for investigating the messiness of software security
(Journal article; Peer reviewed, 2020)Background: Software engineering work and its context often has characteristics of what in social science is termed 'messy'; it has ephemeral and irregular qualities. This puts high demands on researchers doing inquiry and ...