Blar i Fakultet for informasjonsteknologi og elektroteknikk (IE) på tittel
Viser treff 19491-19510 av 20337
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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 for optimal SLA/SLO contract negotiation in 5G
(Master thesis, 2020)The objective of this master thesis is to optimize strategy in the multi-operator domain to achieve the lowest overall cost while meeting the dependability SLO by using machine learning. To reach this objective, we ... -
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 pipeline to predict entry into the attack zone in football
(Peer reviewed; Journal article, 2023)Sports sciences are increasingly data-intensive nowadays since computational tools can extract information from large amounts of data and derive insights from athlete performances during the competition. This paper addresses ... -
Using machine learning to assess the extent of busy ambulances and its impact on ambulance response times: A retrospective observational study
(Peer reviewed; Journal article, 2024)Background Ambulance response times are considered important. Busy ambulances are common, but little is known about their effect on response times. Objective To assess the extent of busy ambulances in Central Norway ... -
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 cyber and physical attacks in mobile robots
(Master thesis, 2023)Ettersom bruken av roboter øker i industrien for å løse ulike utfordringer, øker også behovet for å sikre disse løsningene. Dette gjelder spesielt for mobile roboter, hvor angrep fra en ondsinnet aktør potensielt kan ha ... -
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 metrics to assess the ICC perceptual rendering intent
(Proceedings of SPIE;7867, Journal article; Peer reviewed, 2011)Increased interest in color management has resulted in more options for the user to choose between for their color management needs. We propose an evaluation process that uses metrics to assess the quality of ICC profiles, ... -
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 MPC for Managed Pressure Drilling
(Journal article; Peer reviewed, 2013)As production on the Norwegian shelf enters tail production, drilling wells with vanishing pressure windows become more attractive. This motivates use of automatic control systems for improved control of downhole pressure ... -
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 Multivariate Methods To Predict Financial Default
(Master thesis, 2019)Fintech er en voksende bransje for banker og andre virksomheter som tilbyr lån, forsikring, kunderådgiving og andre finansielle tjenester. Et viktig aspekt er hvordan data om kunder og tjenester bør analyseres for å gi de ... -
Using NetFlow analysis to detect worm propagation
(Master thesis, 2010)ENGELSK: The Internet has become the main network for commerce, recreation and communication and this has increased the need to protect sensitive information. Computer worms will continue to pose a major threat to us, ... -
Using Netflows for slow portscan detection
(Master thesis, 2005)NORSK: Organisasjoner som har en definert sikkerhetsstrategi har ofte implementert systemer for inntrengningsdeteksjon. Slike løsninger fokuserer som regel på sann-tids analyse av sikkerhetstruende hendelser i ... -
Using Neural Networks for IoT Power Management
(Master thesis, 2020)De fleste enheter i Tingenes Internett (IoT) har begrenset batterilevetid. For å likevel kunne være pålitelige er de nødt til å utnytte batteriet på en så optimal måte som mulig. Dette prosjektet ser på hvorvidt nevrale ...