Recent Submissions

  • Reflections on didactical challenges in teaching computer programming 

    Fojcik, Marcin Andrzej; Fojcik, Martyna Katarzyna; Høyland, Sven-Olai; Hoem, Jon Øivind (Peer reviewed; Journal article, 2023)
    One of the key challenges of modern society is the vast number of technological devices surrounding us. As a result, general ICT skills are essential for both work and personal time. In addition, ICT skills are widely used ...
  • Education model for future 

    Fojcik, Marcin Andrzej; Fojcik, Martyna Katarzyna (Chapter, 2023)
    The modern work environment requires many new abilities. Hence, there are often called 21st-century skills. It can be caused to the increasingly common use of digital tools or by more and more individualization (fitting) ...
  • Infrastructure Monitoring using Satellite Imagery and Computer Vision 

    Gazzea, Michele (Doctoral thesis, 2024)
    Infrastructures like roadways and power lines are essential to our society’s economy and quality of life, yet they are vulnerable to the environment and severe weather. Trees falling on power lines or obstructing roadways ...
  • Paths towards reliable explainability: In neural networks for image-processing 

    Sagemüller, Justus (Doctoral thesis, 2024)
    Machine learning systems (often referred to as AI, not always appropriately) are increasingly used in varied applications, including ones with strong impact on human lives. While this is expected to bring economic and ...
  • Design and Development of a Fog-Assisted Elephant Corridor over a Railway Track 

    Mondal, Manash Kumar; Mandal, Riman; Banerjee, Sourav; Biswas, Utpal; Lin, Jerry Chun-Wei; Alfarraj, Osama; Tolba, Amr (Journal article, 2023)
    Elephants are one of the largest animals on earth and are found in forests, grasslands and savannahs in the tropical and subtropical regions of Asia and Africa. A country like India, especially the northeastern region, is ...
  • A Parallel High-Utility Itemset Mining Algorithm Based on Hadoop 

    Cheng, Zaihe; Shen, Wei; Fang, Wei; Lin, Jerry Chun-Wei (Peer reviewed; Journal article, 2023)
    High-utility itemset mining (HUIM) can consider not only the profit factor but also the profitable factor, which is an essential task in data mining. However, most HUIM algorithms are mainly developed on a single machine, ...
  • Spatio-Temporal Positron Emission Tomography Reconstruction with Attenuation and Motion Correction 

    Cece, Enza; Meyrat, Pierre; Torino, Enza; Verdier, Olivier Philippe Paul; Colarieti-Tosti, Massimiliano (Peer reviewed; Journal article, 2023)
    The detection of cancer lesions of a comparable size to that of the typical system resolution of modern scanners is a long-standing problem in Positron Emission Tomography. In this paper, the effect of composing an ...
  • Micro Manager: a Python package for adaptive and flexible two-scale coupling 

    Desai, Ishaan; Scheurer, Erik; Bringedal, Carina; Uekermann, Benjamin (Peer reviewed; Journal article, 2023)
    The Micro Manager facilitates coupling between simulation software packages, which solve problems at different physical scales. Broadly speaking, simulation-based analysis is an effective tool to gain insights in real-world ...
  • MBT/CPN: A Tool for Model-Based Software Testing of Distributed Systems Protocols Using Coloured Petri Nets 

    Wang, Rui; Kristensen, Lars Michael; Stolz, Volker (Peer reviewed; Journal article, 2018)
    Model-based testing is an approach to software testing based on generating test cases from models. The test cases are then executed against a system under test. Coloured Petri Nets (CPNs) have been widely used for modeling, ...
  • Programming Fine Manufacturing Tasks on Collaborative Robots: A Case Study on Industrial Gluing 

    Schäle, Daniel; Stølen, Martin F; Kyrkjebø, Erik (Peer reviewed; Journal article, 2023)
    This paper explores programming of fine manufacturing tasks using collaborative robots. We conduct a case study based on an industrial gluing task, comparing two programming approaches: Learning from Demonstration (LfD) ...
  • Enforced Dependencies for Active Objects 

    Pun, Violet Ka I; Stolz, Volker (Peer reviewed; Journal article, 2024)
    We present an active object-based language that records required and provided method completions ahead of method invocations. With this language, a programmer can use method declarations to specify the dependencies between ...
  • High-resolution mapping of forest structure from integrated SAR and optical images using an enhanced U-net method 

    Gazzea, Michele; Solheim, Adrian Aase; Arghandeh, Reza (Peer reviewed; Journal article, 2023)
    Forest structure is an essential part of biodiversity and ecological analysis and provides crucial insights to address challenges in these areas. Modern sensor technologies unlock new possibilities for more advanced ...
  • Technologies Supporting Screening Oculomotor Problems: Challenges for Virtual Reality 

    Dæhlen, Are; Heldal, Ilona; Ali, Qasim (Peer reviewed; Journal article, 2023)
    Oculomotor dysfunctions (OMDs) are problems relating to coordination and accuracy of eye movements for processing visual information. Eye-tracking (ET) technologies show great promise in the identification of OMDs. However, ...
  • Exploration of Bifunctionality in Mn, Co Codoped CuO Nanoflakes for Overall Water Splitting 

    Rani, B. Jansi; Mohana, P.; Swathi, S.; Yuvakkumar, R.; Ravi, G.; Thambidurai, M.; Nguyen, Hung D.; Velauthapillai, Dhayalan (Peer reviewed; Journal article, 2023)
    Herein, bimetal (Mn, Co) codoping on a CuO host is aimed at enhancing oxygen evolution reaction (OER) and hydrogen evolution reaction (HER) activity. Codoping of Mn and Co on CuO to enhance bifunctional action in electrochemical ...
  • Natural sensitizer extracted from Mussaenda erythrophylla for dye-sensitized solar cell 

    Rajaramanan, Tharmakularasa; Gourji, Fatemeh Heidari; Elilan, Yogenthiran; Yohi, Shivatharsiny; Senthilnanthanan, Meena; Ravirajan, Punniamoorthy; Velauthapillai, Dhayalan (Peer reviewed; Journal article, 2023)
    In this study, a natural dye from the fowers of Mussaenda erythrophylla extracted separately in ethanol and de-ionized water was employed as a photosensitizer in DSSCs. The quantitative phytochemical analyses were performed ...
  • Can Artificial Neural Networks Be Used to Predict Bitcoin Data? 

    Kristensen, Terje; Sognefest, Asgeir H. (Journal article, 2023)
    Financial markets are complex, evolving dynamic systems. Due to their irregularity, financial time series forecasting is regarded as a rather challenging task. In recent years, artificial neural network applications in ...
  • Student Perspectives on Online Hybrid Learning in an Undergraduate Robotics Course 

    Kyrkjebø, Erik; Stølen, Martin F (Chapter; Peer reviewed, 2023)
    Many institutions in higher education worldwide are transforming classes into online courses, or into hybrid courses with students participating both physically in the classroom and digitally through video conferencing ...
  • Analyzing Eye Tracking Data using Symbolic Aggregate Approximation 

    Helgesen, Carsten Gunnar; Geitung, Atle Birger; Heldal, Ilona; Borgli, Henrik (Peer reviewed; Journal article, 2023)
    Oculomotor disturbance (OMD) is a common vision problem, meaning that the left and right eye do not cooperate properly, i.e., by having a common gaze point. Eye tracking technology (ET) promises support for identifying ...
  • Strong convergence of a fractional exponential integrator scheme for finite element discretization of time-fractional SPDE driven by fractional and standard Brownian motions 

    Noupelah, Aurelien Junior; Tambue, Antoine; Woukeng, Jean Louis (Peer reviewed; Journal article, 2023)
    The aim of this work is to provide the first strong convergence result of a numerical approximation of a general time-fractional second order stochastic partial differential equation involving a Caputo derivative in time ...
  • A smart ocean observation system for reliable real-time measurements 

    Sætre, Camilla; Skålvik, Astrid Marie; Frøysa, Kjell Eivind; Holstad, Marie Bueie (Chapter; Peer reviewed, 2023)
    This paper presents a research and innovation centre for a smart ocean observation system. The main goal of the centre, SFI Smart Ocean, is to enable sustainable ocean management through real-time measurements from autonomous ...

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