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User Privacy in Recommender Systems
(Master thesis, 2017)Med økningen i tilgangen til nettbaserte informasjonskilder så har bruken av anbefalingssystemer tredd frem som et kraftig verktøy for å redusere mengden overført informasjon og samtidig tilby tilpasset innhold for den ... -
User-centered and collaborative service management in UbiCollab: Design and implementation
(Master thesis, 2007)This project has been carried out as a contribution to the UbiCollab project. The project aims to provide a platform for the support of ubiquitous collaboration. UbiCollab tries to support collaboration in the users' natural ... -
User-centered design in rural South Africa: How well does current best practice apply for this setting?
(Master thesis, 2012)Designing ICT systems in the developing world is perceived to be a challenge. But is this really a challenge if we use state-of-the-art development methods? Will the fact that most standards and heuristics are made in the ... -
Using 3D Graphics to Train Object Detection Systems
(Master thesis, 2016)Recent advancements in machine learning, and in particular deep neural networks, have yielded excellent object detection models. However, these techniques require vast datasets of labeled training images, which are ... -
Using a Behavioral Match-to-Sample Method to Evaluate Color Vision Deficiency Simulation Methods
(Journal article; Peer reviewed, 2016)Color vision deficiency (CVD) simulation methods are used both to simulate color vision of color-deficient people and as input for image enhancement methods for the color-deficient. However, a standardized method to compare ... -
Using a Service Lens to Better Understand Practices –and Vice Versa
(Peer reviewed; Journal article, 2023)Many studies of practices involve service exchange, and many service researchers have discovered the central role that sociotechnical practices play in service –in particular, within the service-dominant logic school of ... -
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 ...