• M2M: Universally designed multimedia training and learning application for maternal health 

      Betru, Bisrat (ACIT;2021, Master thesis, 2021)
      The figure of Maternal Mortality Ratio in the global south is worrying and requires a serious attention from all stakeholders. Despite the progress made on maternity healthcare in the last two decades, a huge effort is ...
    • Machine learning based assessment of preclinical health questionnaires 

      Avram, Calin; Gligor, Adrian; Roman, Dumitru; Soylu, Ahmet; Nyulas, Victoria; Avram, Laura (Peer reviewed; Journal article, 2023)
      Background: Within modern health systems, the possibility of accessing a large amount and a variety of data related to patients’ health has increased significantly over the years. The source of this data could be mobile ...
    • Machine learning-based abnormality detection approach for vacuum pump assembly line 

      Garg, Paras; Patil, Amitkumar; Soni, Gunjan; Keprate, Arvind; Arora, Seemant (Reliability: Theory & Applications;Special Issue No 2(64), Volume 16, November 2021, Peer reviewed; Journal article, 2021-11-04)
      The fundamental basis of Industry 4.0 is to make the manufacturing sector more productive and autonomous. In the manufacturing sector, practitioners always long for product quality improvement, reducing reworking costs, ...
    • Machine Learning-Based Analysis of Sperm Videos and Participant Data for Male Fertility Prediction 

      Hicks, Steven; Andersen, Jorunn Marie; Witczak, Oliwia; Lasantha Bandara Thambawita, Vajira; Halvorsen, Pål; Hammer, Hugo Lewi; Haugen, Trine B.; Riegler, Michael Alexander (Scientific Reports;9, Article number: 16770 (2019), Journal article; Peer reviewed, 2019-10-24)
      Methods for automatic analysis of clinical data are usually targeted towards a specific modality and do not make use of all relevant data available. In the field of male human reproduction, clinical and biological data are ...
    • A Machine Learning-based Tool for Passive OS Fingerprinting with TCP Variant as a Novel Feature 

      Hagos, Desta Haileselassie; Yazidi, Anis; Kure, Øivind; Engelstad, Paal (IEEE Internet of Things Journal;Volume: 8, Issue: 5, Peer reviewed; Journal article, 2020-09-15)
      With the emergence of Internet of Things (IoT), securing and managing large, complex enterprise network infrastructure requires capturing and analyzing network traffic traces in real-time. An accurate passive Operating ...
    • A machine learning-based viscoelastic–viscoplastic model for epoxy nanocomposites with moisture content 

      Bahtiri, Betim; Arash, Behrouz; Scheffler, Sven; Jux, Maximilian; Rolfes, Raimund (Computer Methods in Applied Mechanics and Engineering;, Peer reviewed; Journal article, 2023)
      In this work, we propose a deep learning (DL)-based constitutive model for investigating the cyclic viscoelastic-viscoplastic-damage behavior of nanoparticle/epoxy nanocomposites with moisture content. For this, a long ...
    • MachinelLearning to classify and recommend physical activity based on wearable technology 

      Shrestha, Dipak (MAUU;2020, Master thesis, 2020)
      Different wearable technology has been used to measure the physical activities of people with movement disorder through activity classification as well as recommending suitable physical activity level. A physical activity ...
    • MAKERIET: A NORWEGIAN UNIVERSITY MAKERSPACE 

      Güler, Evin; Andersson, Anders-Petter; Mirtaheri, Peyman; Gjøvaag, Terje (Chapter; Peer reviewed, 2017)
      In this paper, we review the existing state of current Norwegian university makerspaces, and what is unique and common to all of them. The participating makerspaces will help discover the impacts they have on ...
    • Making an aI powered ASV 

      Kjelsaas, Magnus (ACIT;2022, Master thesis, 2022)
      This thesis presents my master thesis project on creating an Autonomous Surface Vehicle that is designed to transport humans and goods. The vessel itself is not designed to carry neither humans nor goods, but is used as ...
    • Making context the central concept in privacy engineering 

      Hoel, Tore; Chen, Weiqin; Pawlowsk, Jan (Research and Practice in Technology Enhanced Learning (RPTL);15:21, Journal article; Peer reviewed, 2020-10-19)
      There is a gap between people’s online sharing of personal data and their concerns about privacy. Till now, this gap is addressed by attempting to match individual privacy preferences with service providers’ options for ...
    • Making education on sustainable community planning tangible 

      Rydningen, Ulf; Rolfsen, Christian Nordahl (Peer reviewed; Journal article, 2016)
      Sustainable development is a global issue, but for many people it is most meaningful to discuss sustainability at the local level, where people live their daily lives. Civil and environmental engineers (CEE) most often are ...
    • Making Learning Materials Accessible in Higher Education-Attitudes Among Technology Faculty Members 

      Chen, Weiqin; Sanderson, Norun Christine; Kessel, Siri (Studies in Health Technology and Informatics;Volume 256: Transforming our World Through Design, Diversity and Education, Journal article; Peer reviewed, 2018)
      With the increasing popularity of digital technologies, more and more digital learning materials are available in education. However, making digital learning materials accessible to diverse students can be a challenging ...
    • The making of a journey-identifying new design approaches in contemporary art 

      Sjøvoll, Vibeke; Gulden, Tore (Chapter; Peer reviewed, 2013)
      This article explores how approaches identified in contemporary art can offer new perspectives in design education. The inquiry is done by involving product design students in such approaches through the designing of new ...
    • The Making of FQ, or How to Pick up Pellets of Information in the Clouds of Fantasy 

      Bergaust, Kristin (InFormation - Nordic Journal of Art and Research;2(2), Journal article; Peer reviewed, 2013)
      In an attempt to look at how content could be developed in dialogue with the use of visual documentary material, this article traces key ideas and references that were important to the making of an animation “FQ”. A research ...
    • Making sense of the digital co-production of welfare services: using digital technology to simplify or tailor the co-production of services 

      Larsson, Karl Kristian; Skjølsvik, Tale (Public Management Review;, Peer reviewed; Journal article, 2021-12-03)
      This paper offers a theoretical framework for digital co-production in public services and considers the benefits and limitations such services can have for citizens. Based on examples from the Norwegian Labour and Welfare ...
    • Making touch-based kiosks accessible to blind users through simple gestures 

      Sandnes, Frode Eika; Tan, Tek Beng; Johansen, Anders; Sulic, Edvin; Vesterhus, Eirik; Iversen, Eirik (Journal article; Peer reviewed, 2012-11-01)
      Touch-based interaction is becoming increasingly popular and is commonly used as the main interaction paradigm for self-service kiosks in public spaces. Touch-based interaction is known to be visually intensive, and current ...
    • Maleri – Relevans og verdsettelse av maleri i utdanningsprogrammet Kunst, design og arkitektur i den videregående skole 

      Nyberg, Rebecca (MEST;2020, Master thesis, 2020)
      Denne masteravhandlingen ser på i hvilken grad det undervises i maleri, og eventuelt hvordan og hvorfor det gjøres, i det studieforbedrende utdanningsprogrammet Kunst, design og arkitektur (KDA) i den videregående skole. ...
    • Maleundervisning i videregående skole – Fagdidaktiske ideologier og relasjonen til samtidens kunstfelt. 

      Rottem, Karoline Vatne (Master thesis, 2014)
      Masteroppgaven omhandler maleundervisningens praksis innen et utvalg videregående skoler. Maleundervisning er en del av praksisen innen faget Visuelle Kunstfag, ved utdanningsprogrammet Studiespesialisering med ...
    • Man vs. AI: An in silico study of polyp detection performance 

      Smedsrud, Pia Helen; Espeland, Håvard; Berstad, Tor Jan; Petlund, Andreas; de Lange, Thomas; Riegler, Michael; Halvorsen, Pål (Annual IEEE Symposium on Computer-Based Medical Systems;, Chapter; Peer reviewed; Conference object; Journal article, 2023)
      AI-based colon polyp detection systems have received much attention, and several products and prototypes report good results. In silico verification is a crucial step when developing such systems, but very few compare human ...
    • Management of high availability services using virtualization 

      Braastad, Espen (Master thesis, 2006)
      This thesis examines the use of virtualization in management of high availability services using open source tools. The services are hosted in virtual machines, which can be seamlessly migrated between the physical nodes ...