Recent additions

  • Weather-aware Wake-up of Sleeping Cyber-Physical IoT Nodes 

    Kristensen, Steffen Ole Randrup; Bjørndalen, John Markus; Rais, Issam; Ha, Hoai Phuong; Anshus, Otto Johan (Chapter; Bokkapittel, 2023-09-27)
    Cyber-physical IoT nodes located in environments which are resource-constrained and physically hard to access, like the Arctic tundra, must achieve long operational lifetimes from a single battery and report data over data networks. The nodes sleep most of the time, and only wake up to perform mission tasks, including reporting data. However, networks can become unavailable, or have low bandwidth ...
  • Image Inpainting With Hypergraphs for Resolution Improvement in Scanning Acoustic Microscopy 

    Somani, Ayush; Banerjee, Pragyan; Rastogi, Manu; Habib, Anowarul; Agarwal, Krishna; Prasad, Dilip Kumar (Journal article; Tidsskriftartikkel; Peer reviewed, 2023-08-14)
    Scanning Acoustic Microscopy (SAM) uses high-frequency acoustic waves to generate non-ionizing, label-free images of the surface and internal structures of industrial objects and biological specimens. The resolution of SAM images is limited by several factors such as the frequency of excitation signals, the signal-to-noise ratio, and the pixel size. We propose to use a hypergraphs image inpainting ...
  • Predicting Meibomian Gland Dropout and Feature Importance Analysis with Explainable Artificial Intelligence 

    Fineide, Fredrik; Storås, Andrea; Riegler, Michael Alexander; Utheim, Tor Paaske (Journal article; Tidsskriftartikkel; Peer reviewed, 2023-07-17)
    Dry eye disease is a common and potentially debilitating medical condition. Meibum secreted from the meibomian glands is the largest contributor to the outermost, protective lipid layer of the tear film. Dysfunction of the meibomian glands is the most common cause of dry eye disease. As meibomian gland dysfunction progresses, gradual atrophy of the glands is observed. The meibomian glands are ...
  • Algorithm for predicting valvular heart disease from heart sounds in an unselected cohort 

    Waaler, Per Niklas Benzler; Melbye, Hasse; Schirmer, Henrik; Johnsen, Markus Kreutzer; Dønnem, Tom; Ravn, Johan Fredrik; Andersen, Stian; Davidsen, Anne Herefoss; Aviles Solis, Juan Carlos; Stylidis, Michael; Bongo, Lars Ailo Aslaksen (Journal article; Tidsskriftartikkel; Peer reviewed, 2024-01-24)
    Objective: This study aims to assess the ability of state-of-the-art machine learning algorithms to detect valvular heart disease (VHD) from digital heart sound recordings in a general population that includes asymptomatic cases and intermediate stages of disease progression.<p> <p>Methods: We trained a recurrent neural network to predict murmurs from heart sound audio using annotated recordings ...
  • De-identifying Norwegian Clinical Text using Resources from Swedish and Danish 

    Lamproudis, Anastasios; Mora, Sara; Olsen Svenning, Therese; Torsvik, Torbjørn; Chomutare, Taridzo Fred; Ngo, Phuong Dinh; Dalianis, Hercules (Journal article; Tidsskriftartikkel, 2023)
    The lack of relevant annotated datasets represents one key limitation in the application of Natural Language Processing techniques in a broad number of tasks, among them Protected Health Information (PHI) identification in Norwegian clinical text. In this work, the possibility of exploiting resources from Swedish, a very closely related language, to Norwegian is explored. The Swedish dataset is ...
  • Eventually-Consistent Replicated Relations and Updatable Views 

    Thomassen, Joachim; Yu, Weihai (Chapter; Bokkapittel, 2023-08-31)
    Distributed systems have to live with weak consistency, such as eventual consistency, if high availability is the primary goal and network partitioning is unexceptional. Local-first applications are examples of such systems. There is currently work on local-first databases where the data are asynchronously replicated on multiple devices and the replicas can be locally updated even when the devices ...
  • Validation of ESDS Using Epidemic-Based Data Dissemination Algorithms 

    Guegan, Loic; Rais, Issam; Anshus, Otto Johan (Journal article; Tidsskriftartikkel, 2023-09-27)
    The study of Distributed Systems (DS) is important as novel solutions in this area impact many sub-fields of Computer Science. Although, studying DS is not an easy task. A common approach is to deploy a test-bed to perform a precise evaluation of the system. This can be costly and time consuming for large scale platforms. Another solution is to perform network simulations, allowing for more flexibility ...
  • Towards Data Dissemination Policy Prediction for Constrained Environments Using Analytics 

    Guegan, Loic; Rais, Issam; Anshus, Otto Johan (Journal article; Tidsskriftartikkel, 2023-09-27)
    <p>In Cyber-Physical Systems (CPS) such as Wireless Sensors Networks (WSN), disseminating data is crucial. Under energy constraints with limited communications capabilities, performing data dissemination is challenging. In such contexts, common data dissemination methods cannot be used. Nodes must rely on device-to-device communications policies to mitigate the impact of communications on the nodes ...
  • Deep Learning in Precancerous Lesions Detection during Surveillance Colonoscopies of IBD Patients. 

    Roy, Mayank (Mastergradsoppgave; Master thesis, 2024-01-11)
    Deep Learning (DL) models have developed tremendously over the last couple of decades in their ability to train across large datasets and give fast and accurate results across a varied number of tasks like image classification and segmentation. This is the reason why DL models are being increasingly adopted for aiding medical professionals in the diagnosis and detection of various medical conditions ...
  • Aquilier: An Ethereum-Based Smart Contract for Door-Lock Management in Home Assistant 

    Strand, Niklas (Mastergradsoppgave; Master thesis, 2023-12-15)
    The widespread adoption of distributed computer systems, exemplified by plat- forms like Airbnb and Booking.com, has transformed homes into rental proper- ties and streamlined vacation rentals by offering comprehensive tools for listing properties, processing payments, facilitating searches, and enabling communi- cation. However, a critical gap remains: these platforms do not facilitate ...
  • Parid-GO A Personalised Augmented Reality Game to Reinforce Outdoor Physical Activity for People with Intellectual Disabilities 

    Sivakumar, Keerthana (Mastergradsoppgave; Master thesis, 2023-09-11)
    Parid-GO A Personalised Augmented Reality Game to Reinforce Outdoor Physical Activity for People with Intellectual Disabilities. This project aims to develope a dynamic content solution that are user centric. The rationale is that by allowing the participants to customize and use other themes, colors, etc., the participant will be more engaged and use the application more. Which in turn will increase ...
  • Image Inpainting With Hypergraphs for Resolution Improvement in Scanning Acoustic Microscopy 

    Somani, Ayush; Banerjee, Pragyan; Rastogi, Manu; Habib, Anowarul; Agarwal, Krishna; Prasad, Dilip Kumar (Journal article; Tidsskriftartikkel; Peer reviewed, 2023-08-14)
    Scanning Acoustic Microscopy (SAM) uses high-frequency acoustic waves to generate non-ionizing, label-free images of the surface and internal structures of industrial objects and biological specimens. The resolution of SAM images is limited by several factors such as the frequency of excitation signals, the signal-to-noise ratio, and the pixel size. We propose to use a hypergraphs image inpainting ...
  • Sport and Nutrition Digital Analysis: A Legal Assessment 

    Juliussen, Bjørn Aslak; Rui, Jon Petter; Johansen, Dag (Journal article; Tidsskriftartikkel; Peer reviewed, 2023-03-29)
    This paper presents and evaluates legal aspects related to digital technologies applied in the elite soccer domain. Data Protection regulations in Europe clearly indicate that compliance-by-design is needed when developing and deploying such technologies. This is particularly true when health data is involved, but a complicating factor is that the distinction between what is health data or not is ...
  • Accurate Lightweight Calibration Methods for Mobile Low-Cost Particulate Matter Sensors 

    Jørstad, Per Martin; Wojcikowski, Marek; Cao, Tuan-Vu; Lepioufle, Jean-Marie; Wojtkiewicz, Krystian; Ha, Hoai Phuong (Chapter; Bokkapittel, 2023-09-05)
    <p>Monitoring air pollution is a critical step towards improving public health, particularly when it comes to identifying the primary air pollutants that can have an impact on human health. Among these pollutants, particulate matter (PM) with a diameter of up to 2.5 μm (or PM2.5) is of particular concern, making it important to continuously and accurately monitor pollution related to PM. The emergence ...
  • Sleep Monitoring with Wearable Sensor Data in an eCoach Recommendation System: A Conceptual Study with Machine Learning Approach 

    Chatterjee, Ayan; Prinz, Andreas; Pahari, Nibedita; Das, Jishnu; Riegler, Michael (Chapter; Bokkapittel, 2023-04-25)
    The collective effects of sleep loss and sleep disorders are correlated with many adverse health consequences, including increased risk of high blood pressure, obesity, diabetes, depressive state, and cardiovascular symptoms. Research in eHealth can provide methods to enrich personal health care with information and communication technologies (ICTs). An eCoach system may allow people to manage a ...
  • Multi-Agent Collision Avoidance Method Using Fuzzy Risk Estimation and Information Sharing in Unknown Environments 

    Håkansson, Anne Eva Margareta; Karlsen, Randi; Bremdal, Bernt Arild; Dundar, Yigit Can (Chapter; Bokkapittel, 2023-09-22)
    Automated vehicles within Industry 4.0 are used as logistics units where they can move resources from one place to another safely and efficiently. The automated vehicles can be tasked to work in unknown environments where collision-free navigation is challenging due to uncertainty and lack of environmental information. Collisions can damage equipment and may even cause harm to human workers sharing ...
  • Dataset of motivational factors for using mobile health applications and systems 

    Henriksen, André; Issom, David-Zacharie; Woldaregay, Ashenafi Zebene; Pfuhl, Gerit; Årsand, Eirik; Sato, Keiichi; Hartvigsen, Gunnar (Journal article; Tidsskriftartikkel; Peer reviewed, 2023-09-16)
    We created and carried out a cross-sectional anonymous structured questionnaire on what motivates users of mobile health applications and wearables to share their collected health related data. The questionnaire was distributed online in English, French, and Norwegian. In addition, a flyer with information of where to locate the online questionnaire was distributed during a Swiss health conference. ...
  • Enhancing mechanical performance of TiO<inf>2</inf> filler with Kevlar/epoxy-based hybrid composites in a cryogenic environment: a statistical optimization study using RSM and ANN methods 

    Natrayan, L.; Janardhan, Gorti; Paramasivam, Prabhu; Dhanasekaran, Seshathiri (Journal article; Tidsskriftartikkel; Peer reviewed, 2023-11-24)
    This research aims to investigate the mechanical performance of the different weight proportions of nano-TiO<sub>2</sub> combined with Kevlar fiber-based hybrid composites under cryogenic conditions. The following parameters were thus considered: (i) Kevlar fiber mat type (100 and 200 gsm); (ii) weight proportions of TiO2 nanofiller (2 and 6 wt%); and (iii) cryogenic processing time (10–30 min at ...
  • Comprehensive Analysis of Solar Panel Performance and Correlations with Meteorological Parameters 

    Sarmah, Pranjal; Das, Dipankar; Saikia, Madhurjya; Kumar, Virendra; Yadav, Surendra Kumar; Paramasivam, Prabhu; Dhanasekaran, Seshathiri (Journal article; Tidsskriftartikkel; Peer reviewed, 2023-12-08)
    To mitigate the adverse effects of fossil fuel-based energy, mankind is in constant search of clean and cost-effective sources of energy, such as solar energy. The economic viability of a power plant to harness solar energy mostly depends on the efficiency of solar panels. Investigations over the years show that the solar panel efficiency significantly depends on the different meteorological parameters. ...
  • Low-Cost Programmable Air Quality Sensor Kits in Science Education 

    Fjukstad, Bjørn; Angelvik, Nina; Hauglann, maria wulff; Knutsen, Joachim Sveia; Grønnesby, Morten; Gunhildrud, Hedinn; Bongo, Lars Ailo (Chapter; Bokkapittel, 2018-02-21)
    We describe our citizen science approach and technologies designed to introduce students in upper secondary schools to computational thinking and engineering. Using an Arduino microcontroller and low-cost sensors we have developed the air:bit, a programmable sensor kit that students build and program to collect air quality data. In our course, students develop their own research questions regarding ...

View more