• Analysis of railway vehicle-track interaction performance in submerged floating tunnel subjected to wave excitations 

  Song, Yang; Dai, Jian; Lau Leong Lee, Albert (Peer reviewed; Journal article, 2024)

  Submerged Floating Tunnels (SFTs) are an innovative and appealing solution for the water crossing of railways over wide and deep waterbodies where it is challenging or even impractical to construct conventional bottom- founded ...

• Exposure assessment of plastics, phthalate plasticizers and their transformation products in diverse bio-based fertilizers 

  Estoppey, Nicolas; Varela, Gabriela Castro; Slinde, Gøril Aasen; Hansen, Caroline Berge; Løseth, Mari Engvig; Krahn, Katinka Muri; Demmer, Viona; Svenni, Jørgen; Tran, Teresa-Van-Anh Thi; Asimakopoulos, Alexandros; Arp, Hans Peter Heinrich; Cornelissen, Gerard (Peer reviewed; Journal article, 2024)

  Bio-based fertilizers (BBFs) produced from organic waste have the potential to reduce societal dependence on limited and energy-intensive mineral fertilizers. BBFs, thereby, contribute to a circular economy for ...

• Økologiske perspektiver i scenekunst for barn 

  Hovik, Lise (Peer reviewed; Journal article, 2023)

  Dette vitenskapelige essayet diskuterer økologiske perspektiver i scenekunst for barn, og forholdet mellom kunst, mennesker, dyr og våre fysiske omgivelser i lys av ideer om posthumanisme, sympoiesis og kunstnerisk forskning. ...

• ScopeSense: An 8.5-Month Sport, Nutrition, and Lifestyle Lifelogging Dataset 

  Riegler, Michael Alexander; Thambawita, Vajira; Nguyen, Thu; Hicks, Steven Alexander; Pettersen, Svein Arne; Telle-Hansen, Vibeke; Johansen, Dag; Jain, Ramesh; Halvorsen, Pål (Lecture Notes in Computer Science (LNCS);, Peer reviewed; Journal article, 2023)

  Nowadays, most people have a smartphone that can track their everyday activities. Furthermore, a significant number of people wear advanced smartwatches to track several vital biomarkers in addition to activity data. ...

• Probabilistic Assessment of RC Piers Considering Vertical Seismic Excitation Based on Damage Indices 

  Mahboubi, Shima; Shiravand, Mahmoud R; Shid, Golshid; Kioumarsi, Mahdi (RILEM Bookseries;, Chapter; Peer reviewed; Conference object; Journal article, 2023)

  Bridges play a vital role in highway transportation systems and damage to bridges may cause impaired emergency response and economic loss and interrupt the functionality of the systems. Damage to bridge during the last ...

• Development of a hybrid timber and aluminum based unitized façade system resilient to the future weather conditions in Europe via monitoring campaigns and computational models 

  Coelho, Guilherme Barreto Arez; Ostapska, Katarzyna; Kraniotis, Dimitrios; Brozovsky, Johannes Georg; Loli, Arian (Peer reviewed; Journal article, 2024)

  The StaticusCare project aims to develop a hybrid timber and aluminum unitized façade system (HUF) equipped with a predictive maintenance system (PMS) for Nordic climates, which will be based on the digital twin concept ...

• Exploring Multilingual Word Embedding Alignments in BERT Models: A Case Study of English and Norwegian 

  Aaby, Pernille; Biermann, Daniel; Yazidi, Anis; Borges Moreno e Mello, Gustavo; Palumbo, Fabrizio (Chapter; Peer reviewed; Conference object; Journal article, 2023)

  Contextual language models, such as transformers, can solve a wide range of language tasks ranging from text classification to question answering and machine translation. Like many deep learning models, the performance ...

• Multimedia Datasets: Challenges and Future Possibilities 

  Nguyen, Thu; Storås, Andrea; Thambawita, Vajira L B; Hicks, Steven; Halvorsen, Pål; Riegler, Michael Alexander (Chapter; Peer reviewed; Conference object; Journal article, 2023)

  Public multimedia datasets can enhance knowledge discovery and model development as more researchers have the opportunity to contribute to exploring them. However, as these datasets become larger and more multimodal, besides ...

• Intelligent digital tools for screening of brain connectivity and dementia risk estimation in people affected by mild cognitive impairment: the AI-Mind clinical study protocol 

  Haraldsen, Ira Hebold; Hatlestad-Hall, Christoffer; Marra, Camillo; Renvall, Hanna; Maestú, Fernando; Acosta-Hernández, Jorge; Alfonsin, Soraya; Andersson, Vebjørn; Anand, Abhilash; Ayllón, Victor; Babic, Aleksandar; Belhadi, Asma; Birck, Cindy; Bruña, Ricardo; Caraglia, Naike; Carrarini, Claudia; Christensen, Erik; Cicchetti, Americo; Daugbjerg, Signe; Di Bidino, Rossella; Diaz-Ponce, Ana; Drews, Ainar; Giuffrè, Guido Maria; Georges, Jean; Gil-Gregorio, Pedro; Gove, Dianne; Govers, Tim M.; Hallock, Harry; Hietanen, Marja; Holmen, Lone; Hotta, Jaakko; Kaski, Samuel; Khadka, Rabindra; Kinnunen, Antti S.; Koivisto, Anne M.; Kulashekhar, Shrikanth; Larsen, Denis; Liljeström, Mia; Lind, Pedro; Marcos Dolado, Alberto; Marshall, Serena; Merz, Susanne; Miraglia, Francesca; Montonen, Juha; Mäntynen, Ville; Øksengård, Anne Rita; Olazarán, Javier; Paajanen, Teemu; Peña, José M.; Peña, Luis; Peniche, Daniel lrabien; Sanz Perez, Ana; Radwan, Mohamed; Ramírez-Toraño, Federico; Rodríguez-Pedrero, Andrea; Saarinen, Timo; Salas-Carrillo, Mario; Salmelin, Riitta; Sousa, Sonia; Suyuthi, Abdillah; Toft, Mathias; Toharia, Pablo; Tveitstøl, Thomas; Tveter, Mats; Upreti, Ramesh; Vermeulen, Robin J.; Vecchio, Fabrizio; Yazidi, Anis; Rossini, Paolo Maria (Peer reviewed; Journal article, 2023)

  More than 10 million Europeans show signs of mild cognitive impairment (MCI), a transitional stage between normal brain aging and dementia stage memory disorder. The path MCI takes can be divergent; while some maintain ...

• Universal design of specialised classrooms A survey on Art and Crafts studios 

  Lefdal, Else Margrethe; Børresen Bech, Jannicke Tanita; Dalstein, Gunn Synnøve (Peer reviewed; Journal article, 2023)

  Krav til universell utforming av skoler er regulert av ulike lovverk. Ingen elever skal utestenges fra obligatorisk undervisning på bakgrunn av nedsatt funksjonsevne. Det kan likevel tas forbehold om rimelighet ut fra ...

• Estimating volcanic ash emissions using retrieved satellite ash columns and inverse ash transport modelling using VolcanicAshInversion v1.2.1, within the operational eEMEP volcanic plume forecasting system (version rv4_17) 

  Brodtkorb, André R.; Benedictow, Anna Maria Katarina; Klein, Heiko; Kylling, Arve; Nyiri, Agnes; Valdebenito Bustamante, Alvaro Moises; Sollum, Espen; Kristiansen, Nina Iren (Peer reviewed; Journal article, 2024)

  Accurate modeling of ash clouds from volcanic eruptions requires knowledge about the eruption source parameters including eruption onset, duration, mass eruption rates, particle size distribution, and vertical-emission ...

• Random sparse generators of Markovian evolution and their spectral properties 

  Nakerst, Goran; Denysov, Sergiy; Haque, Masudul (Peer reviewed; Journal article, 2023)

  The evolution of a complex multi-state system is often interpreted as a continuous-time Markovian process. To model the relaxation dynamics of such systems, we introduce an ensemble of random sparse matrices which can be ...

• ANERIS UVAS Underwater Video Acquisition System 

  Salvemini, Giorgio; Kaba, Christopher; Reimers, Henrik Enger; Havnen, Benjamin Gabriel (Bachelor thesis, 2023)

  This report presents the process of building a low-cost, lightweight underwater observa- tory. This includes an underwater camera, hydrophone, and sensor station connected by cable to a central hub stationed on land which ...

• Technological Utilization in Remote Healthcare: Factors Influencing Healthcare Professionals' Adoption and Use 

  Grønli, Tor-Morten; Ghinea, George (Peer reviewed; Journal article, 2024)

  Background: This study focuses on evaluating the perceptions, competencies, and acceptance of remote healthcare monitoring technology among healthcare professionals in developing countries, specifically India and Bhutan, ...

• Efficient Estimation of Generative Models Using Tukey Depth 

  Vo, Minh-Quan; Nguyen, Thu; Riegler, Michael; Hammer, Hugo Lewi (Peer reviewed; Journal article, 2024)

  Generative models have recently received a lot of attention. However, a challenge with such models is that it is usually not possible to compute the likelihood function, which makes parameter estimation or training of ...

• A dataset for predicting cloud cover over Europe 

  Svennevik, Hanna; Hicks, Steven; Riegler, Michael; Storelvmo, Trude; Hammer, Hugo Lewi (Peer reviewed; Journal article, 2024)

  Clouds are important factors when projecting future climate. Unfortunately, future cloud fractional cover (the portion of the sky covered by clouds) is associated with significant uncertainty, making climate projections ...

• Peer-Mentoring for Students with Disabilities – A Preliminary Study in Norwegian Higher Education 

  Sanderson, Norun Christine; Chen, Weiqin (Lecture Notes in Computer Science;, Chapter; Peer reviewed; Conference object; Journal article, 2023)

  The number of students with disabilities in higher education is increasing. Despite governmental and institutional support, students with disabilities often have poorer progression and are at a higher risk of dropping out ...

• Effect of Precompression and Material Uncertainty on the In-Plane Behavior of URM Pier–Spandrel Systems 

  Pulatsu, Bora; Gonen, Semih; Parisi, Fulvio (Peer reviewed; Journal article, 2023)

  Theoretical and experimental studies on loadbearing masonry walls have shown the significant influence of the axial load level (i.e., precompression) and wall aspect ratio on in-plane lateral resistance. Nonetheless, the ...

• Cyclists as Intelligent Carriers of Space-Time Environmental Information: Crowd-Sourced Sensor Data for Local Air Quality Measurement and Mobility Analysis in the Netherlands 

  Kourtit, Karima; Nijkamp, Peter; Östh, John; Turk, Umut (Peer reviewed; Journal article, 2023)

  In recent years, slow travel modes (walking, cycling) have gainedmuch interest in the context of urban air quality management.This article presents thefindings from a novel air qualitymeasurement experiment in the Netherlands, ...

• Unleashing the potential of fNIRS with machine learning: classification of fine anatomical movements to empower future brain-computer interface 

  Khan, Haroon; Khadka, Rabindra; Sultan, Malik Shahid; Yazidi, Anis; Ombao, Hernando; Mirtaheri, Peyman (Peer reviewed; Journal article, 2024)

  In this study, we explore the potential of using functional near-infrared spectroscopy (fNIRS) signals in conjunction with modern machine-learning techniques to classify specific anatomical movements to increase the number ...

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