Fakultet for teknologi, kunst og design (TKD): Nye registreringer

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    • Geotechnical laboratory testing of lunar simulants and the importance of standardization 

      Quinteros, Santiago; Mikesell, Thomas Dylan; Griffiths, Luke; Jerves, Alex Xavier (Peer reviewed; Journal article, 2024)
      A comprehensive program of geotechnical index tests performed on two regolith simulants, namely LHS-1 and LMS-1, are presented and discussed in this study. The index tests included a 2D analysis of particles shapes ...

    • Assessing generalisability of deep learning-based polyp detection and segmentation methods through a computer vision challenge 

      Ali, Sharib; Ghatwary, Noha; Jha, Debesh; Isik-Polat, Ece; Polat, Gorkem; Yang, Cheng; Li, Wuyang; Galdran, Adrian; Ballester, Miguel Angel Gonzalez; Thambawita, Vajira L B; Hicks, Steven; Poudel, Sahadev; Lee, Sang-Woong; Jin, Ziyi; Gan, Tianyuan; Yu, Chenghui; Yan, JiangPeng; Yeo, Doyeob; Lee, Hyunseok Lee; Tomar, Nikhil Kumar; Haitham, Mahmood; Ahmed, Amr; Riegler, Michael Alexander; Daul, Christian; Halvorsen, Pål; Rittscher, Jens; Salem, Osama E.; Lamarque, Dominique; Cannizzaro, Renato; Realdon, Stefano; de Lange, Thomas; East, James E (Peer reviewed; Journal article, 2024)
      Polyps are well‑known cancer precursors identified by colonoscopy. However, variability in their size, appearance, and location makes the detection of polyps challenging. Moreover, colonoscopy surveillance and removal ...

    • ContrastNER: Contrastive-based Prompt Tuning for Few-shot NER 

      Layegh, Amirhossein; Hossein Payberah, Amir; Soylu, Ahmet; Roman, Dumitru; Matskin, Mihhail (IEEE Annual International Computer Software and Applications Conference (COMPSAC);, Chapter; Peer reviewed; Conference object, 2023)
      Prompt-based language models have produced encouraging results in numerous applications, including Named Entity Recognition (NER) tasks. NER aims to identify entities in a sentence and provide their types. However, the ...

    • MS Innvik: A Ship with a View – Culture is who we are 

      Bergaust, Kristin (Peer reviewed; Journal article, 2023)
      The video works A Ship with a View and The Kitchen Garden were made during 2010 on the theatre ship MS Innvik, run by Nordic Black Theatre. This turned out to be the last year of the ship’s existence as an intercultural ...

    • Semantic Modeling, Development and Evaluation for the Resistance Spot Welding Industry 

      Yahya, Muhammad; Zhou, Baifan; Breslin, John G.; Ali, Muhammad Intizar; Kharlamov, Evgeny (Peer reviewed; Journal article, 2023)
      The ongoing industrial revolution termed Industry 4.0 (I4.0) has borne witness to a series of profound changes towards increasing smart automation, particularly in the industrial sectors of automotive, aerospace, manufacturing, ...

    • Real-Time Event Detection with Random Forests and Temporal Convolutional Networks for More Sustainable Petroleum Industry 

      Qu, Yuanwei; Zhou, Baifan; Waaler, Arild Torolv Søetorp; Cameron, David B. (Journal article, 2023)
      The petroleum industry is crucial for modern society, but the production process is complex and risky. During the production, accidents or failures, resulting from undesired production events, can cause severe environmental ...

    • Domination and effect of multi-parameters in direct chill casting based on establishment of thermo model by numerical simulation and experiment 

      Hou, Jian; Qichi, Le; Liang, Chen; Yonghui, Jia; Chenglu, Hu; Seghier, Mohamed El Amine Ben (Peer reviewed; Journal article, 2023)
      In this paper, a mathematical model validated by in-situ temperature measurement data of the direct chill (DC) casting process has been established in order to study the domination and effect of multi-parameters including ...

    • Computational Methods Applied to Earthen Historical Structures 

      Jiménez Rios, Alejandro; Ruiz-Capel, Samuel; Plevris, Vagelis; Nogal, Maria (Peer reviewed; Journal article, 2023)
      Earthen structures have an important representation among the UNESCO World Heritage List sites as well as among the built environment in general. Unfortunately, earthen heritage structures are also numerous within the ...

    • ANALYSIS AND MEASURES TO IMPROVE THE EFFICIENCY OF BUILDING INFORMATION MODELLING IN COST ESTIMATES 

      Rolfsen, Christian Nordahl; Muhammed, Sariteke (Chapter; Conference object, 2023)
      Building Information Models (BIM) and information in these models have been responsible for an "industrial revolution" in the construction industry, but there has not been the same focus on BIM in the early stages of ...

    • Random Testing and Evolutionary Testing for Fuzzing GraphQL APIs 

      Belhadi, Asma; Zhang, Man; Arcuri, Andrea (Peer reviewed; Journal article, 2023)
      The Graph Query Language (GraphQL) is a powerful language for APIs manipulation in web services. It has been recently introduced as an alternative solution for addressing the limitations of RESTful APIs. This paper introduces ...

    • siRNA screening reveals that SNAP29 contributes to exosome release 

      Hessvik, Nina Pettersen; Sagini, Krizia; Romero, Silvana Angelica Troncoso; Ramirez, Manuel; Rodriguez, Marta; Tutturen, Astrid Elisabeth Voorham; Kvalvaag, Audun Sverre Myrset; Stang, Espen; Brech, Andreas; Sandvig, Kirsten; Llorente, Alicia (Peer reviewed; Journal article, 2023)
      Cells release extracellular vesicles (EVs) of different sizes. Small EVs (< 200 nm) can originate from the fusion of multive- sicular bodies with the plasma membrane, i.e. exosomes, and from budding of the plasma membrane, ...

    • Analysis and ranking of corrosion causes for water pipelines: a critical review 

      Hussein Farh, Hassan M.; Seghier, Mohamed El Amine Ben; Taiwo, Ridwan; Tarek, Zayed (Peer reviewed; Journal article, 2023)
      Corrosion is still the most common contributor to failures in Water Distribution Networks (WDNs), causing detrimental technosocio-economic impacts. Although the corrosion process has been the subject of several studies, ...

    • The effect of lockdown on students’ performance: A comparative study between Italy, Sweden and Turkey 

      Casalone, Giorgia; Michelangeli, Alessandra; Östh, John; Türk, Umut (Peer reviewed; Journal article, 2023)
      During the first months of the COVID-19 outbreak, countries adopted different strategies in order to mitigate the effects of the pandemic, ranging from recommendations to limit individual movement to severe lockdown measures. ...

    • Fault detection of a wind turbine generator bearing using interpretable machine learning 

      Bindingsbø, Oliver Trygve; Singh, Maneesh; Øvsthus, Knut; Keprate, Arvind (Peer reviewed; Journal article, 2023)
      During its operational lifetime, a wind turbine is subjected to a number of degradation mechanisms. If left unattended, the degradation of components will result in its suboptimal performance and eventual failure. Hence, ...

    • Experience with the use of a digital sleep diary in symptom management by individuals with insomnia -a pilot mixed method study 

      Thorshov, Thea Christine; Øverby, Caroline Tonje; Hansen, Diana Dobran; Bong, Way Kiat; Skifjeld, Knut; Hurlen, Petter; Dammen, Toril; Moen, Anne; Hrubos-Strøm, Harald (Peer reviewed; Journal article, 2023)
      Background: Insomnia is the most common sleep disorder. The recommended treatment is cognitive behavioural therapy for insomnia (CBTi). A sleep diary is a core tool in CBTi. We have developed a digital sleep diary with ...

    • Educating designers with 3D printers: a postphenomenological perspective on maker and design pedagogy 

      Pavel, Nenad (Peer reviewed; Journal article, 2023)
      Learning in makerspaces is free from curriculum and evaluation and is believed to yield practical, self-driven and solution-oriented learners. This study explores how makerspace pedagogy can be emulated in formal higher ...

    • Numerical investigation of mould growth risk in a timber-based facade system under current and future climate scenarios 

      Coelho, Guilherme Barreto Arez; Kraniotis, Dimitrios (Peer reviewed; Journal article, 2023)
      Due to today’s sustainability concerns, we must find ways to decrease, the CO2 footprint of the products and systems that are used in buildings. The StaticusCare project, funded by EEA/Norway Grants, emerged from this need, ...

    • A Deep Diagnostic Framework Using Explainable Artificial Intelligence and Clustering 

      Thunold, Håvard Horgen; Riegler, Michael; Yazidi, Anis; Hammer, Hugo Lewi (Peer reviewed; Journal article, 2023)
      An important part of diagnostics is to gain insight into properties that characterize a disease. Machine learning has been used for this purpose, for instance, to identify biomarkers in genomics. However, when patient ...

    • Identifying Important Proteins in Meibomian Gland Dysfunction with Explainable Artificial Intelligence 

      Storås, Andrea; Magnø, Morten Schjerven; Fineide, Fredrik; Thiede, Bernd; Chen, Xiangjun; Strumke, Inga; Halvorsen, Pål; Utheim, Tor Paaske; Riegler, Michael Alexander (Peer reviewed; Journal article, 2023)
      Meibomian gland dysfunction is the most common cause of dry eye disease and leads to significantly reduced quality of life and social burdens. Because meibomian gland dysfunction results in impaired function of the tear ...

    • Studenters bakgrunn for valg av motedesign som utdanning og deres fremtidige karriereplaner 

      Reitan, Janne Beate; Isachsen, Sissel (Peer reviewed; Journal article, 2023)
      Utgangspunktet for artikkelen er vår bekymring for at studenter som starter moteutdanning uten nødvendige forkunnskaper, etter endt utdanning vil ha problemer med å tilfredsstille kravene bransjen stiller. Problem­stillingen ...