Browsing Fakultet for informasjonsteknologi og elektroteknikk (IE) by Title
Now showing items 17769-17788 of 20189
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T-Koszul algebras, resolutions and derived equivalences of endomorphism rings
(Doktoravhandlinger ved NTNU, 1503-8181; 2011:56, Doctoral thesis, 2011) -
tabGAN: A Framework for Utilizing Tabular GAN for Data Synthesizing and Generation of Counterfactual Explanations
(Master thesis, 2022)Kontrafaktiske forklaringer er en metode for å forklare prediksjoner fra black-box modeller gjennom henvising til alternative lignende virkeligheter der et annet utfall skjer. Denne eksempel-baserte forklaringsmetoden er ... -
Tablet based real-time Doppler spectrum processing
(Master thesis, 2014)By utilizing mobile, low-cost Doppler ultrasound technology in developing countries, the mortality rate of unborn children, small children and pregnant women might be reduced. Two main Doppler techniques which are used in ... -
Tablet User Interface Evaluation for a Portable Ultrasound System and Real time Doppler SpectrumProcessing
(Master thesis, 2013)In this thesis, real time Doppler spectrum processing and Tablet user interface evaluation for portable ultrasound system is done.In most ultrasound machines, fast fourier transform and other spectral processing requires ... -
TAC (Traveler Assistance Center): Utforming av systemegenskaper i henhold til bruker- og tilbyderkrav
(Master thesis, 2006)Utgangspunktet for denne oppgaven var å bygge videre på en casestudie for lokasjonstjenester og nødanrop [Hausken, 2005). Casestudien illustrerer et assistansesenter for reisende i utlandet med mobiltelefon, Scandinavian ... -
Tackling Variability in Renewable Energy Production and Electric Vehicle Consumption with Stochastic Optimization - The Benefits of Using the Stochastic Quasi-Gradient Method compared with Exact Methods and Machine Learning
(Master thesis, 2018)The work presented in thesis investigates different applications for implementing the Stochastic- Quasi Gradient (SQG) model to solve stochastic multistage AC-OPF problems, and com- pares it with a Stochastic-Dynamic ... -
Tactile-sensitive robotic grasping of food compliant objects with deep learning as a learning policy
(Master thesis, 2017)This thesis outlines work done in generating models used to control a robotic arm and tactile sensitive gripper for successfully grasping compliant food objects, using colour and depth images as input. The compliant food ... -
Tag Inference
(Master thesis, 2023)Moderne bygg bruker i større grad enn tidligere ulike sensorer for å overvåke ulike deler av konstruksjonen. Slik data lagres gjerne som en tidsserie, hvor verdier assosieres med et tidsstempel. I denne oppgaven behandles ... -
Tag Prediction in Social Media - Predicting Image Tags with Computer Vision and Word Embedding
(Master thesis, 2018)Social Media produces vast amounts of user-generated content (UGC) every second, and images are increasingly part of enriching this content. The need for effective ways to organize and categorize content is bigger than ... -
Tag use to monitor fish behaviour in aquaculture: a review of benefits, problems and solutions
(Peer reviewed; Journal article, 2021)A variety of tagging techniques are now available to monitor fish behaviour, physiology and their environmental experience. Tagging is frequently used in aquaculture research to monitor free-swimming individuals within ... -
Tailoring Agile Methods for Large Projects - A Case Study of a Large Agile Project
(Master thesis, 2017)The adoption of agile methodologies is increasing. The methods are usually designed for one team of 5-12 people. This makes the adoption challenging for large organizations. There is little research on the implementation ... -
Tailoring Entity Matching for Industrial Settings
(Chapter, 2020)Entity matching has received significant attention from the research community over many years. Despite some limited success, most state-of-the-art methods see no widespread usage in industry. In this paper, we present ... -
Tailoring the magnetic order in a supermagnetic metamaterial
(Journal article; Peer reviewed, 2017)The emergent magnetism in close-packed assemblies of interacting superparamagnetic particles is commonly referred to as supermagnetism. The magnetic characteristics of such systems are determined by the dipolar coupling ... -
Taleforståelighet: En enkel modell
(Master thesis, 2009)Oppgaven har gått ut på å sammenligne symbolfeilsannsynligheten som er målt ved felttesting av HiST-taleaudiometri, med en sterkt forenklet modell for taleforståelighet. Taleaudiometri går ut på å teste taleforståelighet ... -
Talegjenkjenning av barnestemmer
(Master thesis, 2017)Today s speech recognition systems are based on adult speech corpora. In speech recognition of children s speech, the recognition system will not perform equally good as in the recognition of adult speech. This is due to ... -
Talegjenkjenning for Låssystemer
(Bachelor thesis, 2020)Vår 2019 hadde Avento AS et testprosjekt med en annen bachelorgruppe, der de skulle implementere et låsesystem som brukte ansiktsgjenkjenning som verifiseringsmetode. Da dette kom med sine problemer i form av sikkerhet, ... -
Talestyrt dataspill
(Master thesis, 2008)På Institutt for Elektronikk og Telekommunikasjon sin taleteknologigruppe har det en stund vært ønsket å lage et talestyrt dataspill som kan brukes som demonstrator i forskjellige sammenhenger. Denne masteroppgaven har ... -
TaleTUC: Automatic Speech Recognition for a Bus Route Information System
(Master thesis, 2012)With the constant increase in smartphone sales, integrated sensors have becomeavailable to the average user. This allows for mobile applications to utilise theuser s context to provide more accurate information. The ... -
TaleTUC: Text-to-Speech and Other Enhancements to Existing Bus Route Information Systems
(Master thesis, 2012)As smartphone sales increase, the demand for content for these devices alsoincreases. Service providers that want to reach out to as many users as possibleneed to create smartphone applications that satisfy people that do ... -
Taming an autonomous surface vehicle for path following and collision avoidance using deep reinforcement learning
(Peer reviewed; Journal article, 2020)In this article, we explore the feasibility of applying proximal policy optimization, a state-of-the-art deep reinforcement learning algorithm for continuous control tasks, on the dual-objective problem of controlling an ...