Blar i Fakultet for informasjonsteknologi og elektroteknikk (IE) på tittel
Viser treff 19471-19490 av 20367
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Using Computer Vision to Extract Information About the Traffic Using a Vehicle-Mounted Monocular Camera
(Master thesis, 2019)Utviklingen og evnen til selvkjørende kjøretøy har økt drastisk det siste tiåret. Dessverre er drømmen om et trafikkbilde som utelukkende består av selvkjørende kjøretøy, fortsatt ikke realistisk, i hvert fall i noen år ... -
Using computer vision to track progress through a CrossFit workout
(Master thesis, 2024)In this project, a tool for tracking crossfit workouts has been developed. The tool aims to produce performance-based statistics for coaching analysis, it also aims to act as a digital judge with documents verified results ... -
Using Convolutional Neural Networks for the Helicity Classification of Magnetic Fields
(Journal article; Peer reviewed, 2021) -
Using Cooperative Intelligent Transport Systems for Real-Time Determination of Dangerous Locations in Traffic
(Master thesis, 2018)A prototype solution for continuously determining the current level of danger in traffic at different locations has been developed, based on event detection on a stream of Cooperative intelligent transport systems (C-ITS) ... -
Using Data Augmentation on Small Datasets to Improve Object Detection Accuracy
(Master thesis, 2021)Denne oppgaven bruker tre små datasett og augmenterer dem til flere datasett ved bruk av rotasjon, utydeliggjøring, lys og farge, mosaikk og cutout. Disse augmenterte datasettene blir deretter testet om de er bedre for ... -
Using Decentralized Control Techniques for Interaction Analysis in Hybrid AC/DC Grids
(Chapter, 2018)One of the ancillary services that can be provided by Multi-terminal Direct Current (MTDC) grid to connected ac grids is power oscillation damping (POD). However, using PODs at multiple terminals of an MTDC grid results ... -
Using Deep Convolutional Networks to Detect Roads in Aerial Images
(Master thesis, 2016)This thesis presents a brief introduction to aerial road detection and semantic segmentation of images. Datasets based on aerial imagery is often automatically generated from existing map data, which causes the dataset to ... -
Using Deep Generative Models for Glossy Appearance Synthesis and Exploration
(Journal article, 2023)Generating images with realistic material appearance using a physically-based renderer demands significant time and human labor. The images are used in psychophysical experiments to study human perception of material ... -
Using Deep Learning for Anomaly Detection in Distributed Temperature Sensing Systems for Submarine Export Cables
(Master thesis, 2019)Eksportkabler er viktige komponenter i en offshorevindmøllepark, siden de trans- portere den produserte energien til land. Feil i kablene kan føre til store tap for operatørene, og de vil derfor overvåke kablene for å kunne ... -
Using Deep Learning in Hearing Aids
(Master thesis, 2016)The aim of this masters thesis is to investigate if deep neural networks and deep learning can work as an alternative for existing hearing aids. Traditional hearing aids are limited to compensate for attenuation losses and ... -
Using deep learning to process images as basis for knowledge graph
(Master thesis, 2019)Dette arbeidet forsøker å finne informasjon i dagligdagse bilder ved hjelp av dyp læring. Bildene er av TrønderEnergis elektriske nett, og informasjon avbildet i disse bildene brukes til å dokumentere nettet. For å hente ... -
Using deep learning to process images as basis for knowledge graph
(Master thesis, 2019)Dette arbeidet forsøker å finne informasjon i dagligdagse bilder ved hjelp av dyp læring. Bildene er av TrønderEnergis elektriske nett, og informasjon avbildet i disse bildene brukes til å dokumentere nettet. For å hente ... -
Using Demographic Features for the Prediction of Basic Human Values Underlying Stakeholder Motivation
(Chapter, 2019)Abstract: Human behavior plays a significant role within the domain of information security. The Conflicting Incentives Risk Analysis (CIRA) method focuses on stakeholder motivation to analyze risks resulting from the ... -
Using DiaMODL in a design process: An evaluation of the modelling language
(Master thesis, 2006)Unified Modeling Language (UML) seems not to support the modelling of user interfaces in a satisfactory way. Thus several other modelling techniques aimed at the modelling of the contents and the dynamics in user interfaces ... -
Using digital platforms to promote value co-creation: A case study of a public sector organization
(Doctoral theses at NTNU;2021:172, Doctoral thesis, 2021)This thesis explores how digital platforms can improve value co-creation in large public sector organizations characterized by large, interconnected information systems. This research is based on a two-year longitudinal ... -
Using discrete Darboux polynomials to detect and determine preserved measures and integrals of rational maps
(Peer reviewed; Journal article, 2019)In this letter we propose a systematic approach for detecting and calculating integrals and preserved measures of rational maps. The approach is based on the use of cofactors and discrete Darboux polynomials and relies on ... -
Using Domain Knowledge in Classifying Industrial Data from the Oil and Gas Sector
(Master thesis, 2018)Finding good features for performing supervised learning on high dimensional industrial datasets can be challenging, as the feature set typically consists of hundreds to thousands of features. Specific features might follow ... -
Using Ensemble Methods to Improve the Performance of Prediction - Statistical Analysis of a Myocardial Infarction Data Set from the HUNT Study
(Master thesis, 2017)The main focus of this thesis is to evaluate the use of ensemble methods to improve the performance of prediction, when applied on a myocardial infarction (MI) data set from the HUNT study. The data set comes from a ... -
Using Evolutionary Algorithms to Investigate the Co-Evolution of Language and Social Networks
(Master thesis, 2017)Scientists have been researching how human language evolved into the complex language it is today for a long time. This is a difficult task because no historical data has been discovered concerning the earliest forms of ... -
Using Evolutionary Multiobjective Optimization Algorithms to Evolve Lacing Patterns for Bicycle Wheels
(Master thesis, 2015)This thesis investigates the use of evolutionary algorithms (EAs) to evolve and optimize lacing patterns of spokes for a bicycle wheel. There are multiple objectives and tradeoffs to be considered when evaluating a lacing ...