• 3D Reconstruction of GI Regions from Single Images 

      Ahmad, Bilal; Floor, Pål Anders; Farup, Ivar; Kresović, Milan (Peer reviewed; Journal article, 2022)
      3D shape reconstruction from images is one of the problem under investigation in the field of computer vision. Shape-from-shading (SfS) is an important approach which requires the reflectance properties of surface and light ...
    • 3D Reconstruction of the Human Colon from Capsule Endoscope Video 

      Floor, Pål Anders; Farup, Ivar; Pedersen, Marius (Peer reviewed; Journal article, 2022)
      In this paper we investigate the possibility of constructing 3D models of longer sections of the human colon using image sequences obtained from wireless capsule endoscope (WCE) video to provide enhanced viewing for ...
    • A big data management architecture for smart cities based on fog-to-cloud data management architecture 

      Sinaeepourfard, Amir; Krogstie, John; Petersen, Sobah Abbas (Journal article; Peer reviewed, 2018)
      A massive volume of data has been created and saved in their related data repositories in either structured or unstructured format (Big Data). There- fore, there are several ongoing studies (including in different ...
    • Appearance Manipulation in Spatial Augmented Reality using Image Differences 

      Gigilashvili, Davit; Trumpy, Giorgio (Peer reviewed; Journal article, 2022)
      Rapidly emerging augmented reality technologies enable us to virtually alter appearance of objects and materials in a fast and efficient way. The state-of-the-art research shows that the human visual system has a poor ...
    • Big Data and Context–Aware Computing Applications for Smart Sustainable Cities of the Future 

      Bibri, Simon Elias; Krogstie, John (Journal article; Peer reviewed, 2017)
      Information processing is increasingly embedded in the systems and processes of the contemporary city to enhance its operations, functions, and designs. This has been fueled by the new digital transition in ICT enabled by ...
    • A CBR-ANN hybrid for dynamic environments 

      Hegdal, Sondre Steinsland; Kofod-Petersen, Anders (Peer reviewed; Journal article, 2019)
      This paper proposes a Case-based Reasoning (CBR) and Artificial Neural Network (ANN) hybrid solution for dynamic problems. In this solution, a CBR system chooses between several expert neural networks for a given case/problem. ...
    • Characterising appearance of gold foils and gilding in conservation and restoration 

      Arteaga, Yoko; Sole, Aditya Suneel; Hardeberg, Jon Yngve; Boust, Clotilde (Peer reviewed; Journal article, 2022)
      Materials with complex optical properties like gold foils are commonly used for gilding in the field of conservation and restoration to render the visual appearance of the restoration object. Characterising the appearance ...
    • Classification of movement quality in a weight-shifting exercise 

      Vonstad, Elise Klæbo; Su, Xiaomeng; Vereijken, Beatrix; Nilsen, Jan Harald; Bach, Kerstin (Journal article; Peer reviewed, 2018)
      In exercise games, it is often possible to gain rewards, i.e. points, by only partly completing an intended movement, which can undermine the effect of using such games for exercise. To ensure usability and reliability of ...
    • Color names affect the precision of memorized hues. The effect of increased color name distinctiveness 

      Skora, Zuzanna; Hardeberg, Jon Yngve (Peer reviewed; Journal article, 2022)
      Color names influence the memory of a specific hue by shifting it closer to the prototypical color associated with the name. Typically, in studies regarding color naming and memory maximally seven traditional color names ...
    • Color Naming and Communication of Color Appearance: Is it Different for Native Georgian Speakers? 

      Amirkhanashvili, Ana; Gigilashvili, Davit (Peer reviewed; Journal article, 2020)
      Color is one of the most prominent appearance attributes. The terms used by humans to communicate color appearance and to set categorical boundaries in the color space have long been a point of scholarly interest. Two ...
    • Combining top-down and bottom-up enterprise modelling 

      Fossland, Snorre; Krogstie, John (Journal article; Peer reviewed, 2017)
      Modeling approaches started to be used in a large scale around 40 years ago, using simple diagrams. Still the main focus in modelling is for intermediaries to document the knowledge as held by different stakeholders for ...
    • Considering Self-Efficacy in Reflection. Proceedings of ARTEL 2016 

      Krogstie, Birgit Rognebakke; Krogstie, John (Journal article; Peer reviewed, 2016)
      There is a relationship between self-efficacy and the process of reflective learning. How they may influence each other can be explored by considering the steps in a reflective learning cycle. For each step, there are ways ...
    • Contactless Classification of Strawberry Using Hyperspectral Imaging 

      Melit Devassy, Binu; George, Sony (Peer reviewed; Journal article, 2020)
      Rapid non-contact estimation of fruit quality parameters is an essential factor for an efficient food processing pipeline. We propose a novel workflow for the contactless classification of strawberries based on their sugar ...
    • Contextualization from the Bibliographic Structure 

      Norozi, Muhammad Ali; de Vries, Arjen; Arvola, Paavo (Journal article; Peer reviewed, 2012)
      Bibliographic or citation structure in a document contains a wealth of useful but implicit information. This rich source of information should be exploited not only to understand what and where to nd the important ...
    • Data driven case base construction for prediction of success of marine operations 

      Mathisen, Bjørn Magnus; Aamodt, Agnar; Langseth, Helge (Journal article; Peer reviewed, 2017)
      It is a common situation to have lots of recorded data that you want to use for improving a process in your organization or make use of this data to provide new services or products. Starting with one primary data set we ...
    • Diagnosing Root Causes and Generating Graphical Explanations by Integrating Temporal Causal Reasoning and CBR 

      Nikpour, Hoda; Aamodt, Agnar; Skalle, Pål (Journal article; Peer reviewed, 2017)
      This study proposes a methodology to diagnose the root causes of failures in the domain of oil well drilling. The idea is to combine a Bayesian network, which is generated based on an expert knowledge, with situation-specific ...
    • Does Information Quality matter? 

      Toussaint, Pieter Jelle; Melby, Line; Hellesø, Ragnhild; Brattheim, Berit J (Journal article; Peer reviewed, 2017)
      Information quality has been proposed as one of the determining factors for perceived information system success. Fehrenbacher and Helfert have studied contextual factors of information system use (e.g. different user ...
    • Endowing Head-Mounted Displays with Physiological Sensing for Augmenting Human Learning and Cognition 

      Niforatos, Evangelos; Vourvopoulos, Athanasios; Giannakos, Michail (Peer reviewed; Journal article, 2020)
      The EEGlass prototype is a merger between a Head-Mounted Display (HMD) and a brain-sensing platform with a set of electroencephalography (EEG) electrodes at the contact points with the skull. EEGlass measures unobtrusively ...
    • Evaluation of Dye-Sublimation Printing Inks Used for Textile Printing 

      Sole, Aditya Suneel; Modi, Aditi; Naikare, Shubham; Jirwankar, Abhishek; Tambe, Dattatray; Kanade, Shrikala; Nahar, Swati (Peer reviewed; Journal article, 2022)
      Dye-sublimation printing is a modern digital printing technology that is being used more and more for textile printing. Classifying and identifying ink produced by the different manufacturers can be important to understand ...
    • EvoLP.jl: A Playground for Evolutionary Computation in Julia 

      Sánchez-Diaz, Xavier F. C.; Mengshoel, Ole Jakob (Peer reviewed; Journal article, 2023)
      Optimisation is highly relevant in many problems in artificial intelligence, machine learning, engineering and statistics. In these situations, optimisation by means of evolutionary computation becomes especially relevant ...