Recent Submissions

  • Conditions for just offshore wind energy: Addressing the societal challenges of the North Sea wind industry 

    Skjølsvold, Tomas Moe; Heidenreich, Sara Lena Brigitte; Henriksen, Ida Marie; Oliveira, Rita Vasconcellos; Dankel, Dorothy Jane; Lahuerta, Julian Richard; Linnerud, Kristin; Moe, Espen; Nygaard, Birgitte; Richter, Isabell Gabriele Maria; Skjærseth, Jon Birger; Suboticki, Ivana; Vasstrøm, Mikaela Lise Modalen (Peer reviewed; Journal article, 2023)
    Global investment in offshore wind energy is anticipated to surge in the coming decades. While improved technology, reduced costs, and generous policy support are frequently acknowledged as driving factors, many assert ...
  • Digital Escape Game and Students’ Learning Outcomes in Mathematics: Experience From Brunei 

    Pg Abu Bakar, Dk Nurul Najiah; Shahrill, Masitah; Zakariya, Yusuf F. (Peer reviewed; Journal article, 2023)
    Educational stakeholders in Brunei are not exempted from the search for innovative instructional approaches as a tool to stem the tide of poor performance of students in mathematics. This study was designed to contribute ...
  • Novel Isolated Multiport DC Converter with Natural Bipolar Symmetry for Renewable Energy Source Integration to DC Grids 

    Jiya, Immanuel Ninma; Huynh, Khang; Gunawardena, Pasan; Kishor, Nand; Li, Yunwei Ryan (Peer reviewed; Journal article, 2023)
    Due to their greater reliability, efficiency, and resilience as compared to unipolar dc grid systems, bipolar dc grid systems are swiftly gaining popularity for the integration of renewable energy sources. However, development ...
  • A survey on blockchain envisioned attribute based access control for internet of things: Overview, comparative analysis, and open research challenges 

    Sajid Ullah, Syed; Oleshchuk, Vladimir; Gardiyawasam Pussewalage, Harsha (Peer reviewed; Journal article, 2023)
    The Internet of Things (IoT) network is rapidly expanding due to sudden technological advancements, which enable objects to become intelligent and contribute to the network. Before permitting a newly added IoT device to ...
  • Pioneering approaches for enhancing the speed of hierarchical LA by ordering the actions 

    Omslandseter, Rebekka Olsson; Lei, Jiao; Oommen, John (Peer reviewed; Journal article, 2023)
    Fixed Structure Stocastic Automata (FSSA), Variable Structure Learning Automata (VSSA), and their discretized versions have been significantly improved by utilizing inexpensive estimates of the actions' reward probabilities. ...
  • Integrated Multiport DC-DC and Multilevel Converters for Multiple Renewable Energy Source Integration 

    Jiya, Immanuel Ninma; Ali, Ahmed Mohamed Salem; Huynh, Khang; Pomarnacki, Raimondas (Peer reviewed; Journal article, 2023)
    This research introduces an innovative converter system which has been developed to seamlessly incorporate multiple sources of renewable energy into both DC and AC grids. The integration of multiple energy sources is made ...
  • Evidence of hybridization between genetically distinct Baltic cod stocks during peak population abundance(s) 

    Helmerson, Cecilia; Weist, Peggy; Brieuc, Marine Servane Ono; Maurstad, Marius Filomeno; Schade, Franziska Maria; Dierking, Jan; Petereit, Christoph; Knutsen, Halvor; Metcalfe, Julian; Righton, David; André, Carl; Krumme, Uwe; Jentoft, Sissel; Hanel, Reinhold (Peer reviewed; Journal article, 2023)
    Range expansions can lead to increased contact of divergent populations, thus increasing the potential of hybridization events. Whether viable hybrids are produced will most likely depend on the level of genomic divergence ...
  • Determining the Optimal Number of Pistons for Offshore Digital Winch Drives 

    Farsakoglou, Thomas; Pedersen, Henrik C.; Ebbesen, Morten Kjeld; Andersen, Torben O. (Peer reviewed; Journal article, 2023)
    In offshore winch drive applications, determining the required number of pistons in digital displacement motors is critical for minimizing torque ripples. Digital displacement motors have shown promise for improving energy ...
  • Level up: Unleashing the potential of esports for transerable skill delevopment in the digital working world 

    Andersen, Rune; Scholz, Tobias Michael; Simonsen, Christian Robere (Peer reviewed; Conference object, 2023)
  • Dielectric Modulated Bilayer Electrode Top Contact OTFT for Label Free Biosensing 

    Jain, Sushil Kumar; Joshi, Amit Mahesh; Cenkeramaddi, Linga Reddy (Peer reviewed; Journal article, 2023)
    In this paper, dielectric modulated bilayer electrodes top contact organic field effect transistor (DMBETC-OTFT) is investigated as a biosensing device for label-free detection of biomolecules. The nanocavity used for ...
  • AI and semantic ontology for personalized activity eCoaching in healthy lifestyle recommendations: a meta-heuristic approach 

    Chatterjee, Ayan; Pahari, Nibedita; Prinz, Andreas; Riegler, Michael Alexander (Peer reviewed; Journal article, 2023)
    Background Automated coaches (eCoach) can help people lead a healthy lifestyle (e.g., reduction of sedentary bouts) with continuous health status monitoring and personalized recommendation generation with artificial ...
  • Active damage mitigation of the blade leading edge erosion for a wind turbine during rainfall events 

    RIPOLL, ÁLVARO ÚBEDA; Jiang, Zhiyu; Verma, Amrit Shankar; Zhou, Jing (Peer reviewed; Journal article, 2023)
    Leading edge erosion (LEE) of wind turbine blades is a major concern for the wind turbine industry. LEE leads to increased blade surface roughness and incurs significant repair and maintenance costs. To address this issue, ...
  • How genomics can help biodiversity conservation 

    Theissinger, Kathrin; Fernandes, Carlos; Formenti, Giulio; Bista, Iliana; Berg, Paul Ragnar; Bleidorn, Christoph; Bombarely, Aureliano; Crottini, Angelica; Gallo, Guido R.; Godoy, José A.; Jentoft, Sissel; Malukiewicz, Joanna; Mouton, Alice; Oomen, Rebekah Alice; Paez, Sadye; Palsbøll, Per J.; Pampoulie, Christophe; Ruiz-López, María J.; Secomandi, Simona; Svardal, Hannes; Theofanopoulou, Constantina; de Vries, Jan; Waldvogel, Ann-Marie; Zhang, Guojie; Jarvis, Erich D.; Bálint, Miklós; Ciofi, Claudio; Waterhouse, Robert M.; Mazzoni, Camila J.; Höglund, Jacob; Aghayan, Sargis A.; Alioto, Tyler S.; Almudí, Isabel; Alvarez, Nadir; Alves, Paulo C.; do Rosario, Isabel R. Amorim; Antunes, Agostinho; Arribas, Paula; Baldrian, Petr; Bertorelle, Giorgio; Böhne, Astrid; Bonisoli-Alquati, Andrea; Boštjančić, Ljudevit L.; Boussau, Bastien; Breton, Catherine M.; Buzan, Elena; Campos, Paula F.; Carreras, Carlos; Castro, L. Filipe C.; Chueca, Luis J.; Gilbert, Marcus Thomas Pius; Heintzman, Peter D.; Jakobsen, Kjetill Sigurd; Matschiner, Michael; Zammit, Gabrielle (Peer reviewed; Journal article, 2023)
    The availability of public genomic resources can greatly assist biodiversity assessment, conservation, and restoration efforts by providing evidence for scientifically informed management decisions. Here we survey the main ...
  • Improved Reptile Search Optimization Algorithm: Application on Regression and Classification Problems 

    Khan, Muhammad Kamran; Zafar, Muhammad Hamza; Rashid, Saad; Mansoor, Majad; Moosavi, Syed Kumayl Raza; Sanfilippo, Filippo (Peer reviewed; Journal article, 2023)
    The reptile search algorithm is a newly developed optimization technique that can efficiently solve various optimization problems. However, while solving high-dimensional nonconvex optimization problems, the reptile search ...
  • Pre-Service Teachers’ Self-efficacy as Future Mathematics Teachers in a Second Language Classroom 

    Opheim, Linda Gurvin; Knutsen, Kristoffer Heggelund; Brodahl, Cornelia (Journal article; Peer reviewed, 2023)
    This study contributes to the field of research on teacher self-efficacy by investigating a group of multilingual pre-service teachers’ perceptions of self-efficacy in Norwegian mathematics classrooms. In recent years, ...
  • A Systematic Literature Review of 3D Deep Learning Techniques in Computed Tomography Reconstruction 

    Rahman, Hameedur; Khan, Abdur Rehman; Sadiq, Touseef; Farooqi, Ashfaq Hussain; Khan, Inam Ullah; Lim, Wei Hong (Peer reviewed; Journal article, 2023)
    Computed tomography (CT) is used in a wide range of medical imaging diagnoses. However, the reconstruction of CT images from raw projection data is inherently complex and is subject to artifacts and noise, which compromises ...
  • The evolving story of catadromy in the European eel (Anguilla anguilla) 

    Durif, Caroline; Arts, M.; Bertolini, F.; Cresci, Alessandro; Daverat, F.; Karlsbakk, Egil Erlingsson; Koprivnikar, J.; Moland, Even; Olsen, Esben Moland; Parzanini, C.; Power, M.; Rohtla, Mehis; Skiftesvik, Anne Berit; Thorstad, Eva Bonsak; Vøllestad, Leif Asbjørn; Browman, Howard (Peer reviewed; Journal article, 2023)
    Anguillid eels were once considered to be the classic example of catadromy. However, alternative life cycles have been reported, including skipping the freshwater phase and habitat shifting between fresh, brackish, and ...
  • Challenges in supplying empirical proof for predictions derived from Species Distribution Models (SDMs): the case of an invasive cyanobacterium 

    Meriggi, Carlotta; Mershad, Maliheh; Johnson, Richard K.; Laugen, Ane Timenes; Drakare, Stina (Journal article, 2023)
    Species distribution models (SDMs) calibrated with bioclimatic variables revealed a high probability for range expansion of the invasive toxin producing cyanobacterium, Raphidiopsis raciborskii to Sweden, where no reports ...
  • Life cycle cost analysis of a floating wind farm in the Norwegian Sea 

    Bjørni, Fredrik Andersen; Lien, Sverre; Midtgarden, Torjus Aasrum; Santos, Laura-Castro; Jiang, Zhiyu (Peer reviewed; Journal article, 2023)
    The offshore wind energy industry has witnessed rapid growth in the past decade. Still, there is a lack of commercial floating wind projects due to the relatively high development costs and other factors. To facilitate the ...
  • Step towards secure and reliable smart grids in Industry 5.0: A federated learning assisted hybrid deep learning model for electricity theft detection using smart meters 

    Zafar, Muhammad Hamza; Bukhari, Syed Muhammad Salman; Abou Houran, Mohamad; Moosavi, Syed Kumayl Raza; Mansoor, Majad; Al-Tawalbeh, Nedaa; Sanfilippo, Filippo (Peer reviewed; Journal article, 2023)
    The integration of Smart Grid technology and conceptual Industry 5.0 has paved the way for advanced energy management systems that enhance efficiency and revolutionized the parallel integration of power sources in a ...

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