Browsing Publikasjoner fra Cristin by Title
Now showing items 318-337 of 351
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Toward an AI-based external scenario event controller for crisis response simulations
(Journal article; Peer reviewed, 2021) -
Towards a Novel Framework for Reinforcing Cybersecurity using Digital Twins in IoT-based Healthcare Applications
(Journal article; Peer reviewed, 2022) -
Towards Inclusive Identity Management
(Peer reviewed; Journal article, 2010)The article argues for a shift of perspective in identity management (IDM) research and development. Accessibility and usability issues affect identity management to such an extent that they demand a reframing and reformulation ... -
Towards more supportive ICT for children with autism spectrum disorders: lessons learned from COVID-19 pandemic
(Peer reviewed; Journal article, 2023)COVID-19 pandemic has disrupted daily routines, causing isolation and quarantine. Technology has emerged as a crucial tool for sustaining essential activities, but children with autism spectrum disorders have faced ... -
Transcriptomic signals in blood prior to lung cancer focusing on time to diagnosis and metastasis
(Journal article; Peer reviewed, 2021) -
A Tree Representation of Pluri-Gaussian Truncation Rules
(Journal article; Peer reviewed, 2024)Stochastic facies models based on truncated Gaussian random fields are known for being flexible and well suited to reproduce patterns and features from analogues or conceptual models. In pluri-Gaussian simulation, the ... -
The Truth behind the Zeros: A New Approach to Principal Component Analysis of the Neuropsychiatric Inventory
(Journal article; Peer reviewed, 2020)Psychiatric syndromes in dementia are often derived from the Neuropsychiatric Inventory (NPI) using principal component analysis (PCA). The validity of this statistical approach can be questioned, since the excessive ... -
A two-stage mammography classification model using explainable-AI for ROI detection
(Journal article; Peer reviewed, 2023)This study introduces an enhanced version of a two-stage modelling approach using artificial intelligence (AI) for breast cancer detection in mammography screening. Leveraging a large dataset of 2,863,175 mammograms from ... -
Uncertainty-Aware Deep Ensembles for Reliable and Explainable Predictions of Clinical Time Series
(Journal article; Peer reviewed, 2020) -
Universally Designed Augmented Reality (AR) for the School of the Future
(Chapter, 2023)Augmented Reality (AR), together with other technologies collectively referred to as eXtended Reality (XR), can offer opportunities in education for experiential learning and the visualization of abstract concepts. However, ... -
Universally Designed Augmented Reality (AR) for the School of the Future
(Chapter, 2023)Augmented Reality (AR), together with other technologies collectively referred to as eXtended Reality (XR), can offer opportunities in education for experiential learning and the visualization of abstract concepts. However, ... -
The use of social robots for supporting language training of children
(Journal article; Peer reviewed, 2018)A number of studies have found that robots can contribute to engagement and motivation in educational settings. We wanted to explore the possibilities and challenges of using a social robot as an assistive tool for learning ... -
The use of social robots for supporting language training of children
(Peer reviewed; Journal article, 2018)A number of studies have found that robots can contribute to engagement and motivation in educational settings. We wanted to explore the possibilities and challenges of using a social robot as an assistive tool for learning ... -
User Interaction Data in Apps: Comparing Policy Claims to Implementations
(Journal article; Peer reviewed, 2024)As mobile app usage continues to rise, so does the generation of extensive user interaction data, which includes actions such as swiping, zooming, or the time spent on a screen. Apps often collect a large amount of this ... -
User's experience with the Simula language
(Report at the Norwegian Computing Center;, Research report, 1968) -
User-Intended Doppler Measurement Type Prediction Combining CNNs With Smart Post-Processing
(Journal article; Peer reviewed, 2020-10)Spectral Doppler measurements are an important part of the standard echocardiographic examination. These measurements give insight into myocardial motion and blood flow providing clinicians with parameters for diagnostic ... -
Using Block-Based Programming and Sunburst Branching to Plan and Generate Crisis Training Simulations
(Peer reviewed; Journal article, 2020-07-10)