Browsing Institutt for datateknologi og informatikk by Title
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Using an Extended Technology Acceptance Model to Predict Enterprise Architecture Adoption in Making Cities Smarter
(Peer reviewed; Journal article, 2022)Presently cities are undergoing changes and transformations due to the adoption of information and communications technology. Enterprise Architecture (EA) is one of the approaches adopted by practitioners and researchers ... -
Using Artificial Neural Networks To Forecast Financial Time Series
(Master thesis, 2010)This thesis investigates the application of artificial neural networks (ANNs) for forecasting financial time series (e.g. stock prices).The theory of technical analysis dictates that there are repeating patterns that occur ... -
Using Artificial Neural Networks to Model Running Speed in Orienteering
(Master thesis, 2012)This thesis concerns the modeling of running speed in orient-eering by means of multi-layered feed forward artificial neu-ral networks with Backpropagation learning, using GPS tracks of orienteers, an orienteering map and ... -
Using Automated Feature Selection for Building Case-Based Reasoning Systems: An Example from Patient-Reported Outcome Measurements
(Chapter, 2021)Feature selection for case representation is an essential phase of Case-Based Reasoning (CBR) system development. To (semi-)automate the feature selection process can ease the knowledge engineering process. This paper ... -
Using business analytics to enhance dynamic capabilities in operations research: A case analysis and research agenda
(Journal article; Peer reviewed, 2019)While the topic of analytics is rapidly growing in popularity across various domains, there is still a relatively low amount of empirical work in the field of operations research (OR). While studies of various technical ... -
Using Case- based Reasoning for Creating Intelligent Systems in Healthcare
(Doctoral theses at NTNU;2022:390, Doctoral thesis, 2022)Healthcare research is an emerging field of application of machine learning techniques to investigate complex health datasets. Patients are at the center of any healthcare system. There is a growing realisation of the ... -
Using CBR to predict job running time in a Grid
(Master thesis, 2011)In this Thesis we look at different techniques for predicting job running timein a Grid environment. We develop a system based on Case Based Reasoningcalled PREDATOR which is evaluated and compared to a simple approach ... -
Using Commodity Graphics Hardware for Medical Image Segmentation
(Master thesis, 2005)Modern graphics processing units (GPUs) have evolved into high-performance processors with fully programmable vertex and fragment stages. As their functionality and performance are still increasing, more programmers are ... -
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 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 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 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 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 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 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 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 ...