Browsing Institutt for datateknologi og informatikk by Title

Now showing items 3045-3064 of 6828

    • Godt voksnes bruk av netthandel - En empirisk undersøkelse 

      Dølmo, Iver (Bachelor thesis, 2020)
      I denne bacheloroppgaven har jeg undersøkt hvordan godt voksne forbrukere mellom 50-75 år forholder seg til den økte digitaliseringen av handelen. For å på best mulig måte besvare problemstillinga, utarbeidet jeg noen ...

    • Going Open: Building the Platform to Reach Out 

      Schanke, Per Kristian (Master thesis, 2007)
      This report presents the results of the development of a portal for open source software. The work is done in collaboration with Keymind Computing AS in context of the European ITEA project COSI. The purpose of this project ...

    • Gold Price Forecast Based on LSTM-CNN Model 

      He, Zhanhong; Zhou, Junhao; Dai, Hong-Ning; Wang, Hao (Chapter, 2019)
      An accurate prediction is certainly significant in financial data analysis. Investors have used a series of econometric techniques on pricing, stock selection and risk management but few of them have found great success ...

    • Got Your Back: Bruk av maskinlæring til å klassifisere sittestillinger i sanntid 

      Liahagen, Ole Jonas; Nilsen, Martin Johannes; Årdal, Simon (Bachelor thesis, 2021)
      Dårlig rygghelse er et stort problem i dagens samfunn, og kan legge store hemninger på en persons liv. En viktig faktor for å opprettholde god rygghelse er variasjon i måten en sitter på over tid. I denne oppgaven har det ...

    • GPU accelerated Fourier Ptychography 

      Treland, Anders Nikolai (Master thesis, 2020)
      Fourier Ptychography er en nylig utviklet teknikk innenfor beregningsbasert mik- roskopi, som rekonstruerer et høyoppløselig bilde, med stort synsfelt, ut i fra et sett med lavoppløselige mikroskop-bilder. En programmerbar ...

    • GPU acceleration of liver enhancement for tumor segmentation 

      Naseem, Rabia; Cheikh, Faouzi Alaya (Peer reviewed; Journal article, 2019)
      Background and objective: Medical image segmentation plays a vital role in medical image analysis. There are many algorithms developed for medical image segmentation which are based on edge or region characteristics. These ...

    • GPU-Accelerated Visualization of Scattered Point Data 

      Falch, Thomas Løfsgaard; Fløystad, Jostein Bø; Breiby, Dag Werner; Elster, Anne C. (Journal article; Peer reviewed, 2013)
      As data sets continue to grow in size, visualization has become a vitally important tool for extracting meaningful knowledge. Scattered point data, which are unordered sets of point coordinates with associated measured ...

    • GPU-Based Airway Tree Segmentation and Centerline Extraction 

      Smistad, Erik (Master thesis, 2012)
      Lung cancer is one of the deadliest and most common types of cancer inNorway. Early and precise diagnosis is crucial for improving the survivalrate. Diagnosis is often done by extracting a tissue sample in the lung throughthe ...

    • GPU-based Real-Time Snow Avalanche Simulations 

      Krog, Øystein Eklund (Master thesis, 2010)
      Snow is a physical phenomenon that is hard to simulate due to the wide range of behaviors that can be found. Snow avalanches are of interest due to their complex physical properties and because they can have a very high ...

    • GPU-Enabled Interactive Pore Detection for 3D Rock Visualization 

      Hesland, Henrik Falch (Master thesis, 2009)
      Visualization of porous media is of great importance to several scientific fields, including the petroleum technology. The topic of this thesis arises from our collaborations with The Center for Integrated Operations in ...

    • GPU-enabled Laplace-Dirichlet Rule-Based Method for Cardiac Fiber Computations 

      Håkonsen, Iver (Master thesis, 2023)
      Kardiologi er et viktig felt innenfor medisin, og muligheten til å presist simulere hjertefunksjoner er av stor interesse i modellering av hjerte. Informasjon om ori- enteringen til hjertefibre er en essensiell del av mange ...

    • GPU-FAST-PROCLUS: A Fast GPU-parallelized Approach to Projected Clustering 

      Jørgensen, Jakob Rødagaard; Scheel, Katrine; Assent, Ira; Ram, Ajeet; Elster, Anne C. (Journal article, 2022)
      Projected and subspace clustering aim to find groups of similar objects within a subspace of the full-dimensional space. Where subspace clustering tries to identify clusters in all possible subspaces, projected clustering ...

    • GQCCM: An evaluation strategy for collaborative social innovation platforms - Growth, Quality, Collaboration, Creativity & Motivation 

      Li, Jie (Master thesis, 2018)
      Social innovation is on the rise and this thesis aims to learn from practice to better facilitate further development and contribute to theory. Collaborative social innovation platforms are not well understood although ...

    • GRADUATE EMPLOYABILITY SKILLS DEVELOPMENT THROUGH REFLECTION AND SELF-ASSESSMENT USING A MOBILE APP 

      Iqbal, Maria; Fredheim, Lars Jørgen; Olstad, Hege Annette; Abbas, Aisha; Petersen, Sobah Abbas (Chapter, 2022)
      As university students' journey through their studies, their minds are fixed on a common end goal, that of graduating with flying colours and landing their dream job. They aim for achieving the top grades and focus on their ...

    • Grandis 

      Lysakerud, Fredrik; Kristoffersen, Morten; Reierstad, Ole Jørgen (Bachelor thesis, 2001)
      Hovedprosjektet gikk ut på å lage et helt nytt betillingssystem for Kikki’s pizza da det de har brukt frem til nå er blitt gammeldags og innefektivt. Dette ble gjordt for hånd, med penn og papir. De ønsket seg et ...

    • Granularity as a qualitative concept for GIR 

      Ahlers, Dirk (Chapter, 2015)
      We examine the notion of granularity for qualitative thinking about geospatial data and location references. Granularity can be understood as an abstraction of level of detail or spatial resolution. Pure coordinates, which ...

    • Graph Convolutional Networks for Predicting Cerebral Palsy in Infants 

      Haukeland, Andreas; Aubert, Sindre Aarnes (Master thesis, 2021)

    • A graph neural approach for group recommendation system based on pairwise preferences 

      Abolghasemi, Roza; Viedma, Enrique Herrera; Engelstad, Paal E.; Djenouri, Youcef; Yazidi, Anis (Peer reviewed; Journal article, 2024)
      Pairwise preference information, which involves users expressing their preferences by comparing items, plays a crucial role in decision-making and has recently found application in recommendation systems. In this study, ...

    • Graph representation of documents content and its suitability for text mining tasks 

      Viaño Iglesias, Adrian (Master thesis, 2011)
      Association rules mining is one of the the most relevant techniques of data mining. It has been also applied in the domain of text mining, but the results are hard to interpret. In this matter, an Association Network is ...

    • Graph-based Natural Language Processing: Graph edit distance applied to the task of detecting plagiarism 

      Røkenes, Håkon Drolsum (Master thesis, 2012)
      The focus of this thesis is the exploration of graph-based similarity, in the context of natural language processing. The work is motivated by a need for richer representations of text. A graph edit distance algorithm was ...