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    • A Salutogenic Approach for Collaboration in Health and Technology 

      Berg, Arild Skarsfjord; Johansen, Safora; Lund, Anne; Riegler, Michael; Andersen, Jorunn Marie (Chapter, 2023)
      Through collaboration, health services and health-promoting environments can be influenced by patients, health professionals, and stakeholders. Antonovsky’s concept of salutogenesis includes the promotion of a sense of ...
    • Genetic Algorithms For Tightening Security 

      Palumbo, Fabrizio; Buji, Adam; Yazidi, Anis; Haugerud, Hårek (Chapter; Peer reviewed; Conference object, 2022)
      Proper configuration of operating systems and program parameters is known to be a key security factor in order to remove vulnerabilities. It is known that vulnerabilities can be caused by a human misconfiguration or by an ...
    • SoMeMax - A Novel AI-driven Approach to Generate Artificial Social Media Content That Maximises User Engagement 

      Stave, Daniel Årrestad; Korneliussen, Hanne; Hjellup, H. Nøkkelby; Shrestha, Raju (Chapter; Peer reviewed; Conference object, 2023)
      Today, many artificial or virtual influencers roam social media platforms to maximise followers and offer commercial options for companies. This work focuses on developing artificial influencers using state-of-the-art ...
    • Minimum Equivalence in Random Boolean Networks, Elementary Cellular Automata, and Beyond 

      Glover, Tom Eivind; Jahren, Christian Ruben; Huse Ramstad, Ola; Nichele, Stefano (Peer reviewed; Conference object, 2023)
      Random Boolean networks (RBN) and Cellular Automata (CA) operate in a very similar way. They update their state with simple deterministic functions called Boolean function or Transition Table (TT), both being essentially ...
    • Canonical Computations in Cellular Automata and Their Application for Reservoir Computing 

      Lindell, Trym; Hudcová, Barbora; Nichele, Stefano (Peer reviewed; Journal article, 2023)
      Cellular Automata (CAs) have potential as powerful parallel computational systems, which has lead to the use of CAs as reservoirs in reservoir computing. However, why certain Cellular Automaton (CA) rules, sizes and input ...
    • Predicting Cell Cleavage Timings from Time-Lapse Videos of Human Embryos 

      Sharma, Akriti; Ansari, Ayaz Z.; Kakulavarapu, Radhika; Stensen, Mette Haug; Riegler, Michael; Hammer, Hugo Lewi (Peer reviewed; Journal article, 2023)
      Assisted reproductive technology is used for treating infertility, and its success relies on the quality and viability of embryos chosen for uterine transfer. Currently, embryologists manually assess embryo development, ...
    • Artificial Intelligence and Mathematical Models of Power Grids Driven by Renewable Energy Sources: A Survey 

      Srinivasan, Sabarathinam; Kumarasamy, Suresh; Andreadakis, Zacharias; Lind, Pedro (Peer reviewed; Journal article, 2023)
      To face the impact of climate change in all dimensions of our society in the near future, the European Union (EU) has established an ambitious target. Until 2050, the share of renewable power shall increase up to 75% of ...
    • Quality of Monitoring Optimization in Underwater Sensor Networks through a Multiagent Diversity-Based Gradient Approach 

      Ould-Elhassen Aoueileyine, Mohamed; Bennouri, Hajar; Berqia, Amine; Lind, Pedro; Haugerud, Hårek; Krejcar, Ondrej; Bouallegue, Ridha; Yazidi, Anis (Peer reviewed; Journal article, 2023)
      Due to the complex underwater environment, conventional measurement and sensing methods used for land are difficult to apply directly in the underwater environment. Especially for seabed topography, it is impossible to ...
    • Early Labour App: Developing a practice-based mobile health application for digital early labour support 

      Iwaya, Leonardo Horn; Nordin, Anna; Fritsch, Lothar; Børøsund, Elin; Johansson, Margareta; Varsi, Cecilie; Ängeby, Karin (Peer reviewed; Journal article, 2023)
      Background: Pregnant women in early labour have felt excluded from professional care, and their partners have been restricted from being involved in the birthing process. Expectant parents must be better prepared to deal ...
    • An experimental comparison of evolved neural network models for controlling simulated modular soft robots 

      Nadizar, Giorgia; Medvet, Eric; Nichele, Stefano; Pontes Filho, Sidney (Peer reviewed; Journal article, 2023)
      Voxel-based soft robots (VSRs) are a type of modular robots composed by interconnected soft and deformable blocks, i.e., voxels. Thanks to the softness of their bodies, VSRs may exhibit rich dynamic behaviors. One open ...
    • Quality of Monitoring Optimization in Underwater Sensor Networks through a Multiagent Diversity-Based Gradient Approach 

      Ould-Elhassen Aoueileyine, Mohamed; Bennouri, Hajar; Berqia, Amine; Lind, Pedro; Haugerud, Hårek; Krejcar, Ondrej; Bouallegue, Ridha; Yazidi, Anis (Peer reviewed; Journal article, 2023)
      Due to the complex underwater environment, conventional measurement and sensing methods used for land are difficult to apply directly in the underwater environment. Especially for seabed topography, it is impossible to ...
    • Encouraging Pro-environmental Behaviour Through an Educational Mobile Application: Preliminary Insights from Early Adopters 

      Duda, Ewa; Anacka, Helena; Kowal, Jolanta; Nowakowska, Iwona; Obracht-Prondzyńska, Hanna; Geirbo, Hanne Cecilie; Radziszewski, Kacper; Romanowska, Małgorzata; Wyciszkiewicz, Aleksandra; Zawieska, Jakub (Peer reviewed; Journal article, 2023)
    • Short-Term Forecasting of Monkeypox Cases Using a Novel Filtering and Combining Technique 

      Iftikhar, Hasnain; Khan, Murad; Khan, Mohammed Saad; Khan, Mehak (Peer reviewed; Journal article, 2023)
      : In the modern world, new technologies such as artificial intelligence, machine learning, and big data are essential to support healthcare surveillance systems, especially for monitoring confirmed cases of monkeypox. The ...
    • Introduction: Research, Education, and Self-Determination in Sámi and Indigenous Journalism. 

      Sara, Inker-Anni; Krøvel, Roy; Jensen, Ellen Marie; Fridman, Marina; Eira, Nils Johan (Journal of Global Indigeneity (JGI);, Peer reviewed; Journal article, 2023)
      This article advances the critical importance of Indigenous journalism – both as a field and practice – for Indigenous peoples’ right to self-determination. The co-authors demonstrate this through discussions of education, ...
    • Data quality model for assessing public COVID-19 big datasets 

      Ngueilbaye, Alladoumbaye; Huang, Joshua Zhexue; Khan, Mehak; Wang, Hongzhi (Peer reviewed; Journal article, 2023)
      For decision-making support and evidence based on healthcare, high quality data are crucial, particularly if the emphasized knowledge is lacking. For public health practitioners and researchers, the reporting of COVID-19 ...
    • Tsetlin Machine for Sentiment Analysis and Spam Review Detection in Chinese 

      Zhang, Xuanyu; Zhou, Hao; Yu, Ke; Wu, Xiaofei; Yazidi, Anis (Peer reviewed; Journal article, 2023)
      In Natural Language Processing (NLP), deep-learning neural networks have superior performance but pose transparency and explainability barriers, due to their black box nature, and, thus, there is lack of trustworthiness. ...
    • Affect Recognition in Muscular Response Signals 

      Boeker, Matthias; Jakobsen, Petter; Riegler, Michael; Stabell, Lena Antonsen; Fasmer, Ole Bernt; Halvorsen, Pål; Hammer, Hugo Lewi (Peer reviewed; Journal article, 2023)
      This study investigated the potential of recognising arousal in motor activity collected by wrist- worn accelerometers. We hypothesise that emotional arousal emerges from the generalised central nervous system which ...
    • Chrontext: Portable SPARQL queries over contextualised time series data in industrial settings 

      Bakken, Magnus; Soylu, Ahmet (Peer reviewed; Journal article, 2023)
      Industrial information models are standardised ways of representing industrial devices, equipment, and processes together with the data collected from associated sensors and control systems. Companies invest in such models ...
    • Open Problems in Fuzzing RESTful APIs: A Comparison of Tools 

      Zhang, Man; Arcuri, Andrea (Peer reviewed; Journal article, 2023)
      RESTful APIs are a type of web service that are widely used in industry. In the past few years, a lot of effort in the research community has been spent in designing novel techniques to automatically fuzz those APIs to ...
    • Homotopy continuation methods for coupled-cluster theory in quantum chemistry 

      Faulstich, Fabian M.; Laestadius, Andre (Molecular Physics;, Peer reviewed; Journal article, 2023)
      Homotopy methods have proven to be a powerful tool for understanding the multitude of solutions provided by the coupled-cluster polynomial equations. This endeavor has been pioneered by quantum chemists that have undertaken ...