Browsing Øvrige samlinger by Title

Now showing items 23405-23424 of 38822

    • MultiMAuS: A Multi-Modal Authentication Simulator for Fraud Detection Research 

      Zintgraf, Luisa; Lopez-Rojas, Edgar Alonso; Roijers, Diederik; Nowe, Ann (Chapter, 2017)
      MultiMAuS is an agent-based simulator for payment transactions, intended for the analysis and development of dynamic on-line fraud detection methods via a multi-modal user authentication system. The multi-modal authentication ...

    • A multimesh finite element method for the Navier–Stokes equations based on projection methods 

      Dokken, Jørgen; Johansson, August; Massing, André; Funke, Simon Wolfgang (Peer reviewed; Journal article, 2020)
      The multimesh finite element method is a technique for solving partial differential equations on multiple non-matching meshes by enforcing interface conditions using Nitsche’s method. Since the non-matching meshes can ...

    • A Multimethod Approach to Multimodal Function Optimization 

      Foss, Fredrik; Mengshoel, Ole Jakob (Chapter, 2021)
      Multimodal functions play a central role in artificial intelligence. In this paper we attempt to address limitations in existing research on multimodal function optimization by developing a novel multi-method memetic ...

    • Multimetric Event-driven System for Long-Term Wireless Sensor Operation in SHM Application 

      Sarwar, Muhammad Zohaib (Journal article; Peer reviewed, 2020)
      Wireless sensor networks (WSNs) are promising solutions for large infrastructure monitoring because of their ease of installation, computing and communication capability, and cost-effectiveness. Long-term Civil structural ...

    • Multimodal 18F-Fluciclovine PET/MRI and Ultrasound-Guided Neurosurgery of an Anaplastic Oligodendroglioma 

      Karlberg, Anna Maria; Berntsen, Erik Magnus; Johansen, Håkon; Myrthue, Mariane Olesen; Skjulsvik, Anne Jarstein; Reinertsen, Ingerid; Esmaeili, Morteza; Dai, Hong Yan; Xiao, Yiming; Rivaz, Hassan; Borghammer, Per; Solheim, Ole; Eikenes, Live (Journal article; Peer reviewed, 2017)
      Background Structural magnetic resonance imaging (MRI) and histopathologic tissue sampling are routinely performed as part of the diagnostic workup for patients with glioma. Because of the heterogeneous nature of gliomas, ...

    • Multimodal 3D object detection from simulated pretraining 

      Brekke, Åsmund Halse; Vatsendvik, Fredrik; Lindseth, Frank (Peer reviewed; Journal article, 2019)
      The need for simulated data in autonomous driving applications has become increasingly important, both for validation of pretrained models and for training new models. In order for these models to generalize to real-world ...

    • Multimodal AI Agent to Support Students’ Motion-Based Educational Game Play 

      Lee-Cultura, Serena; Sharma, Kshitij; Giannakos, Michail (Peer reviewed; Journal article, 2021)
      Increased accessibility of lightweight sensors (e.g., eye trackers, physiological wristbands, and motion sensors), enable the extraction of student’s cognitive, physiological, skeletal, and affective data, as they engage ...

    • Multimodal Analysis of Secondary Cerebellar Alterations After Pediatric Traumatic Brain Injury 

      Keleher, Finian; Lindsey, Hannah; Kerestes, Rebecca; Amiri, Houshang; Asarnow, Robert; Babikian, Talin; Bartnik-Olson, Brenda L.; Bigler, Erin D; Caeyenberghs, Karen; Ewing-Cobbs, Linda; Giza, Christopher C.; Goodrich-Hunsaker, Naomi J; Hodges, Cooper B.; Hoskinson, Kristen R; Irimia, Andrei; Königs, Marsh; Max, Jeffrey; Newsome, Mary R; Olsen, Alexander; Ryan, Nicholas P; Schmidt, Adam T.; Stein, Dan J; Suskauer, Stacy J; Ware, Ashley L; Wheeler, Anne L; Zielinski, Brandon A; Thompson, Paul; Harding, Ian H.; Tate, David F.; Wilde, Elisabeth; Dennis, Emily L (Peer reviewed; Journal article, 2023)
      IMPORTANCE: Traumatic brain injury (TBI) is known to cause widespread neural disruption in the cerebrum. However, less is known about the association of TBI with cerebellar structure and how such changes may alter executive ...

    • Multimodal data as a means to understand the learning experience 

      Giannakos, Michail; Sharma, Kshitij; Pappas, Ilias; Kostakos, Vassilis; Velloso, Eduardo (Journal article; Peer reviewed, 2019)
      Most work in the design of learning technology uses click-streams as their primary data source for modelling & predicting learning behaviour. In this paper we set out to quantify what, if any, advantages do physiological ...

    • Multimodal data capabilities for learning: What can multimodal data tell us about learning? 

      Sharma, Kshitij; Giannakos, Michail (Peer reviewed; Journal article, 2020)
      Most research on learning technology uses clickstreams and questionnaires as their primary source of quantitative data. This study presents the outcomes of a systematic literature review of empirical evidence on the ...

    • Multimodal deep learning for personalized renal cell carcinoma prognosis: Integrating CT imaging and clinical data 

      Mahootiha, Maryamalsadat; Qadir, Hemin Ali; Bergsland, Jacob; Balasingham, Ilangko (Peer reviewed; Journal article, 2023)
      Background and Objective: Renal cell carcinoma represents a significant global health challenge with a low survival rate. The aim of this research was to devise a comprehensive deep-learning model capable of predicting ...

    • Multimodal Digital Classroom Assessments 

      Fjørtoft, Henning (Peer reviewed; Journal article, 2020)
      Despite the widespread adoption of multimodal and digital modes of representation outside school settings, classroom assessment practices rely more on conventional print media and less on digital technologies. Stronger ...

    • Multimodal Fusion Method Based on Self-Attention Mechanism 

      Zhu, Hu; Wang, Ze; Shi, Yu; Hua, Yingying; Xu, Guoxia; Deng, Lizhen (Peer reviewed; Journal article, 2020)
      Multimodal fusion is one of the popular research directions of multimodal research, and it is also an emerging research field of artificial intelligence. Multimodal fusion is aimed at taking advantage of the complementarity ...

    • Multimodal individualised intervention to prevent functional decline after stroke: protocol of a randomised controlled trial on long-term follow-up after stroke (LAST-long) 

      Askim, Torunn; Hokstad, Anne; Bergh, Elin Josefina; Døhl, Øystein; Ellekjær, Hanne; Ihle-Hansen, Håkon; Indredavik, Bent; Leer, Anne Silja Mäkitalo; Lydersen, Stian; Saltvedt, Ingvild Tina; Seljeseth, Yngve Müller; Thommessen, Bente (Peer reviewed; Journal article, 2023)
      Introduction Multimodal interventions have emerged as new approaches to provide more targeted intervention to reduce functional decline after stroke. Still, the evidence is contradictory. The main objective of the Life ...

    • Multimodal learning analytics to inform learning design: Lessons learned from computing education 

      Mangaroska, Katerina; Sharma, Kshitij; Gasevic, Dragan; Giannakos, Michail (Peer reviewed; Journal article, 2020)
      Programming is a complex learning activity that involves coordination of cognitive processes and affective states. These aspects are often considered individually in computing education research, demonstrating limited ...

    • Multimodal method in sloshing 

      Lukovsky, I; Timokha, Alexander (Journal article; Peer reviewed, 2017)
      The multimodal method reduces the sloshing problem with free surface to a (modal) system of nonlinear ordinary differential equations. The method was originally proposed for nonimpulsive hydrodynamic loads. However, recently ...

    • Multimodal Multispectral Imaging System for Small UAVs 

      Haavardsholm, Trym Vegard; Skauli, Torbjørn; Stahl, Annette (Peer reviewed; Journal article, 2020)
      Multispectral imaging is an attractive sensing modality for small unmanned aerial vehicles (UAVs) in numerous applications. The most compact spectral camera architecture is based on spectral filters in the focal plane. ...

    • Multimodal performers for genomic selection and crop yield prediction 

      Måløy, Håkon; Windju, Susanne; Bergersen, Stein; Alsheikh, Muath K; Downing, Keith Linn (Peer reviewed; Journal article, 2021)
      Working towards optimal crop yields is a crucial step towards securing a stable food supply for the world. To this end, approaches to model and predict crop yields can help speed up research and reduce costs. However, crop ...

    • Multimodal Phantom of Liver Tissue 

      Chmarra, Magdalena Karolina; Hansen, Rune; Mårvik, Ronald; Langø, Thomas (Journal article; Peer reviewed, 2013)
      Medical imaging plays an important role in patients' care and is continuously being used in managing health and disease. To obtain the maximum benefit from this rapidly developing technology, further research is needed. ...

    • Multimodal registration across 3D point clouds and CT-volumes 

      Saiti, Evdokia; Theoharis, Theoharis (Peer reviewed; Journal article, 2022)
      Multimodal registration is a challenging problem in visual computing, commonly faced during medical image-guided interventions, data fusion and 3D object retrieval. The main challenge of multimodal registration is finding ...