Browsing Fakultet for informasjonsteknologi og elektroteknikk (IE) by Title
Now showing items 19523-19542 of 20383
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Using hash values to identify fragments of evidence. Taking the concept of known file hash databases a step further.
(Master thesis, 2004)NORSK: Siden flere utnytter datautstyr til å begå kriminelle handlinger og lagringskapasiteten på slikt utstyr øker, fører dette til en eksplosiv økning i den datamengden som må gjennomgåes for å finne tekniske bevis. Det ... -
Using Hidden Markov Models for Biometric Gait Recognition
(Master thesis, 2010)The need for secure authentication to mobile devices is rapidly increasing with the advent of new technologies. Many of the new mobile devices can be used for various purposes such as internet access, mobile banking, ... -
Using Hidden Markov Models for Musical Chord Prediction
(Master thesis, 2017)Music is made up of a melody and chords that accompany the melody. Finding suitable chords, can be hard and time consuming. This thesis investigates the use of Hidden Markov models (HMMs) to assist in this process. The ... -
Using historical data to predict future occupancy for improvement of indoor environmental factors
(Master thesis, 2019)Denne masteroppgaven undersøker innendørsklimaet på utvalgte undervisnings- og læringsarealer ved NTNU og foreslår en modell basert på nevrale nettverk for å forutse fremtidig rombruk. Den første delen av studien undersøker ... -
Using Honeypots to Analyze Bots and Botnets
(Master thesis, 2007)In this Master thesis we will perform honeypot experiments where we allow malicious users access to systems and analyze their behaviour. Our focus will be on botnets, and how attackers progress to infect systems and add ... -
Using Honeypots to Analyze Bots and Botnets
(Master thesis, 2007)In this Master thesis we will perform honeypot experiments where we allow malicious users access to systems and analyze their behaviour. Our focus will be on botnets, and how attackers progress to infect systems and add ... -
Using Information Extraction and Text Classification in an Effort to Support Systematic Literature Reviews
(Master thesis, 2012)Systematic literature reviews are an important tool in Evidence-basedSoftware Engineering, but require a large amount of effort and time from theresearchers. Data extraction is an important step in these reviews, but ... -
Using informed access network selection to improve HTTP adaptive streaming performance
(Chapter, 2020)As end-user devices often have multiple access networks available, choosing the most suitable network can help to improve application performance and user experience. However, selecting the best access network for HTTP ... -
Using Infrastructure-less Wireless Networks to Synchronize Data among Mobile Devices: Extending UbiShare
(Master thesis, 2013)During the last ten years, social networking has become an integral part of modern society. People use the wide range of available social networking services to create relationships and communities, in which they share ... -
Using Integrated Safety and Cyber-security Risk Assessment Methods for Operational Technology over the Entire System Life-cycle
(Master thesis, 2023)Sikring av kritisk infrastruktur mot cybertrusler har blitt stadig viktigere. Et eksempel er cyberangrepet på Ukrainas strømnett i 2016, som forårsaket et strømbrudd. Cyberangrep kan føre til innvirkninger på sikkerhetsbildet ... -
Using Jexserver in TDT4100: Evaluation, Preparation and Integration
(Master thesis, 2008)JExercise is a programming assistance tool used by students working on exercises for the programming course TDT4100. A prototype of Jexserver, a server for automatically grading students' submissions, was developed in ... -
Using Language Models for Classifying the Party Affiliation of Political Texts
(Journal article, 2022) -
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 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 ...