• Multi-fidelity information fusion with concatenated neural networks 

      Pawar, Suraj; San, Omer; Vedula, Prakash; Rasheed, Adil; Kvamsdal, Trond (Peer reviewed; Journal article, 2022)
      Recently, computational modeling has shifted towards the use of statistical inference, deep learning, and other data-driven modeling frameworks. Although this shift in modeling holds promise in many applications like design ...
    • Multi-layered Adaptation for the Failure Prevention and Recovery in Cloud Service Brokerage Platforms 

      Ferry, Nicolas; Chauvel, Franck; Morin, Brice (Chapter, 2018)
      Self-adaptation is a basic capability of modern applications, which adjust their structure and behaviour at run-time, adapting to changes in their environment, in order to maintain the quality of service at runtime. ...
    • Multi-Product Dividing Wall Columns: A Simple and Effective Assessment and Conceptual Design Procedure 

      Halvorsen, Ivar Johan; Skogestad, Sigurd; Dejanovic, Igor; Matijasevic, Ljubica; Olujic, Zarko (Journal article; Peer reviewed, 2011)
      The objective of this paper is to further exploit and demonstrate the potential benefits of a V-min diagram based analysis, using a fifteen component feed mixture as base case. Detailed explanations are given on how to ...
    • A multi-pulse ultrasound technique for imaging of thick-shelled microbubbles demonstrated in vitro and in vivo 

      Berg, Sigrid; Eggen, Siv; Caidahl, Kenneth; Dähne, Lars; Hansen, Rune (Peer reviewed; Journal article, 2022)
      Contrast enhanced ultrasound is a powerful diagnostic tool and ultrasound contrast media are based on microbubbles (MBs). The use of MBs in drug delivery applications and molecular imaging is a relatively new field of ...
    • Multi-Sine EIS for Early Detection of PEMFC Failure Modes 

      Fortin, Patrick; Gerhardt, Michael Robert; Ulleberg, Øystein; Zenith, Federico; Holm, Thomas (Peer reviewed; Journal article, 2022)
      Electrochemical impedance spectroscopy (EIS) is a powerful technique that can be used to detect small changes in electrochemical systems and subsequently identify the source of the change. While promising, analysis is often ...
    • Multi-timescale microscopy methods for the characterization of fluorescently-labeled microbubbles for ultrasound-triggered drug release 

      Nawijn, Charlotte; Segers, Tim; Lajoinie, Guillaume; Mørch, Ýrr Asbjørg; Berg, Sigrid; Snipstad, Sofie; Davies, Catharina de Lange; Versluis, Michel (Peer reviewed; Journal article, 2021)
      Microbubble contrast agents hold great promise for drug delivery applications with ultrasound. Encapsulating drugs in nanoparticles reduces systemic toxicity and increases circulation time of the drugs. In a novel approach ...
    • Multichannel Residual Cues for Fine-Grained Classification in Wireless Capsule Endoscopy 

      Vats, Anuja; Raja, Kiran; Pedersen, Marius; Mohammed, Ahmed Kedir (Peer reviewed; Journal article, 2022)
      Early diagnosis of gastrointestinal pathologies leads to timely medical intervention and prevents disease development. Wireless Capsule Endoscopy (WCE) is used as a non-invasive alternative for gastrointestinal examination. ...
    • Multidosetjeneste for hjemmeboende – brukernes erfaringer og behov for nye løsninger 

      Holbø, Kristine; Das, Anita; Bøthun, Silje; Formanek, Marianne Næsland; Halvorsen, Trond (Journal article; Peer reviewed, 2019)
      Multidose innebærer at tabletter blir pakket maskinelt for hvert doseringstidspunkt. Formålet er å øke sannsynligheten for at personer som bruker flere ulike legemidler, får riktige legemidler til riktig tid. Stadig flere ...
    • Multifidelity computing for coupling full and reduced order models 

      Ahmed, Shady E; San, Omer; Kara, Kursat; Younis, Rami; Rasheed, Adil (Peer reviewed; Journal article, 2021)
      Hybrid physics-machine learning models are increasingly being used in simulations of transport processes. Many complex multiphysics systems relevant to scientific and engineering applications include multiple spatiotemporal ...
    • A Multimesh Finite Element Method for the Stokes Problem 

      Johansson, August; Larson, Mats; Logg, Anders (Peer reviewed; Journal article, 2020)
      The multimesh finite element method enables the solution of partial dif- ferential equations on a computational mesh composed by multiple arbitrarily over- lapping meshes. The discretization is based on a continuous–discontinuous ...
    • MultiMesh Finite Element Methods: Solving PDEs on Multiple Intersecting Meshes 

      Johansson, August; Kehlet, Benjamin; Larson, Mats; Logg, Anders (Journal article; Peer reviewed, 2018)
      We present a new framework for expressing finite element methods on multiple intersecting meshes: multimesh finite element methods. The framework enables the use of separate meshes to discretize parts of a computational ...
    • Multimesh finite elements with flexible mesh sizes 

      Johansson, August; Larson, Mats; Logg, Anders (Peer reviewed; Journal article, 2020)
      We analyze a new framework for expressing finite element methods on arbitrarily many intersecting meshes: multimesh finite element methods. The multimesh finite element method, first presented in Johansson et al. (2019), ...
    • Multiresolution Coupled Vertical Equilibrium Model for Fast Flexible Simulation of CO2 Storage. 

      Møyner, Olav; Nilsen, Halvor Møll (Journal article; Peer reviewed, 2018)
      CO2 capture and storage is an important technology for mitigating climate change. Design of efficient strategies for safe, long-term storage requires the capability to efficiently simulate processes taking place on very ...
    • MultiRIT Multimodal Travel Iniformation Services 

      Natvig, Marit Kjøsnes; Vennesland, Audun; Westerheim, Hans; Flatberg, Truls; Løkberg, Ola; Haugset, Børge (Research report, 2008)
      This report documents the results from the MultiRIT research project and documents ·        The MultiRIT multimodal framework architecture for travel information services. ·   ...
    • Multiscale Mixed Methods on Corner-Point grids: Mimetic versus Mixed Subgrid Solvers 

      Aarnes, Jørg; Krogstad, Stein; Lie, Knut-Andreas (Research report, 2006)
      Multiscale simulation is a promising approach to facilitate direct simulation of large and complex grid-models for highly heterogeneous petroleum reservoirs.  Unlike traditional simulation approaches based on ...
    • Musculoskeletal symptoms among workers in the commercial fishing fleet of Norway 

      Sandsund, Mariann; Øren, Anita; Thorvaldsen, Trine; Holmen, Ingunn Marie; Sønvisen, Signe Annie; Heidelberg, Cecilie Thon; Aasmoe, lisbeth (Journal article; Peer reviewed, 2019)
      BACKGROUND: Fishers exposed to unfavourable environmental conditions may suffer negative health ef- fects. This study aimed to identify musculoskeletal symptoms in professional fishers in Norway using data from several ...
    • Mutual information estimation for graph convolutional neural networks 

      Landsverk, Marius; Riemer-Sørensen, Signe (Peer reviewed; Journal article, 2022)
      Measuring model performance is a key issue for deep learning practitioners. However, we often lack the ability to explain why a specific architecture attains superior predictive accuracy for a given data set. Often, ...
    • My AI Friend: How Users of a Social Chatbot Understand Their Human–AI Friendship 

      Brandtzæg, Petter Bae; Skjuve, Marita; Følstad, Asbjørn (Peer reviewed; Journal article, 2022)
      Use of conversational artificial intelligence (AI), such as humanlike social chatbots, is increasing. While a growing number of people is expected to engage in intimate relationships with social chatbots, theories and ...
    • My Chatbot Companion – a Study of Human-Chatbot Relationships 

      Skjuve, Marita; Følstad, Asbjørn; Fostervold, Knut Inge; Brandtzæg, Petter Bae (Peer reviewed; Journal article, 2021)
      There has been a recent surge of interest in social chatbots, and human–chatbot relationships (HCRs) are becoming more prevalent, but little knowledge exists on how HCRs develop and may impact the broader social context ...
    • “My Heart Jumped. Do I Have Cancer?”—Results of a Co-design Study with Cervical Cancer Screening Participants 

      Klonteig, Sandra; Li, Jiaxin; Halvorsrud, Ragnhild (Chapter, 2023)
      Cervical cancer can be prevented by routinely taking cell samples from the cervix (screening). The frequency of screening is a crucial factor, and there is great potential to utilize the registry data from the cervical ...