Blar i NTNU Open på tittel
Viser treff 61712-61731 av 100509
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Multimodal 3D object detection from simulated pretraining
(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
(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
(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 Behaviour Generation Frameworks in Virtual Heritage Applications: A Virtual Museum at Sverresborg
(Master thesis, 2009)This masters thesis proposes that multimodal behaviour generation frameworks are an appropriate way to increase the believability of animated characters in virtual heritage applications. To investigate this proposal, an ... -
Multimodal data as a means to understand the learning experience
(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?
(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
(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
(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
(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 ideals in the classroom: benefits of an expanded text-term.
(Bachelor thesis, 2022) -
Multimodal Imaging-derived Biomarkers for Early Detection and Personalized Treatment of Breast Cancer
(Doctoral theses at NTNU;2022:304, Doctoral thesis, 2022)Accurate segmentation of cancer from surrounding healthy breast tissues in magnetic resonance imaging (MRI) without intravenous administration of contrast agents, is a question of wide interest. Current standard-of-care ... -
Multimodal individualised intervention to prevent functional decline after stroke: protocol of a randomised controlled trial on long-term follow-up after stroke (LAST-long)
(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 kohesjon i elevtekster. En sosialsemiotisk multimodalitetsanalyse av seks elevtekster fra Normprosjektet
(Master thesis, 2021)Denne masteroppgaven handler om hvordan samspill mellom modaliteter utspiller seg i multimodale elevtekster på 3. og 7. trinn. Jeg utforsker på hvilken måte kohesjonsmekanismer, definert og utviklet av Theo van Leeuwen ... -
Multimodal learning analytics to inform learning design: Lessons learned from computing education
(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 literacy i møte med Bukkene Bruse på Badeland En teoretisk studie om utvikling av multimodal literacy med utgangspunkt i en bildebok
(Master thesis, 2023)Denne masteroppgaven handler om potensialet bildebøker har utover det å kun lese boka. I studien undersøker jeg hvordan arbeid med én bildebok kan medvirke til at elever tilegner seg kunnskap og ferdigheter som bidrar til ... -
Multimodal method in sloshing
(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
(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
(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
(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. ...