Institutt for datateknologi og informatikk
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Spatial Resolution Enhancement of Hyperspectral Images from Miniaturized Sensors
(Peer reviewed; Journal article, 2023)Here we describe and mitigate issues of optical aberrations related to wavelength-dependent blur caused by miniaturization in hyperspectral pushbroom image sensors, which degrade spatial resolution and limit their usefulness. ... -
CLET: Computation of Latencies in Event-related potential Triggers using photodiode on virtual reality apparatuses
(Journal article; Peer reviewed, 2023)Introduction: Most spinal cord injuries (SCI) result in lower extremities paralysis, thus diminishing ambulation. Using brain-computer interfaces (BCI), patients may regain leg control using neural signals that actuate ... -
Replacing Elasticsearch in a Data Analytics Platform
(Master thesis, 2024)Denne avhandlingen sammenligner to analytiske databaser, Elasticsearch og ClickHouse, til formålet av å bygge en generisk plattform for dataanalyse. Vi gjør et dypdykk i hvordan Elasticsearch er designet, og hvordan databasen ... -
The role of learning theory in multimodal learning analytics
(Journal article; Peer reviewed, 2023)This study presents the outcomes of a semi-systematic literature review on the role of learning theory in multimodal learning analytics (MMLA) research. Based on previous systematic literature reviews in MMLA and an ... -
Engaging with Researchers and Raising Awareness of FAIR and Open Science through the FAIR+ Implementation Survey Tool (FAIRIST)
(Journal article; Peer reviewed, 2023)Seven years after the seminal paper on FAIR was published, that introduced the concept of making research outputs Findable, Accessible, Interoperable, and Reusable, researchers still struggle to understand how to implement ... -
Methplotlib: Analysis of modified nucleotides from nanopore sequencing
(Journal article; Peer reviewed, 2020)Summary Modified nucleotides play a crucial role in gene expression regulation. Here, we describe methplotlib, a tool developed for the visualization of modified nucleotides detected from Oxford Nanopore Technologies ... -
Prognostic risk models for incident hypertension: A PRISMA systematic review and meta-analysis
(Journal article; Peer reviewed, 2024)Objective Our goal was to review the available literature on prognostic risk prediction for incident hypertension, synthesize performance, and provide suggestions for future work on the topic. -
Unsupervised clustering for works of art using hyperspectral imaging: A case study on Edvard Munch's Self-Portrait (1905)
(Journal article; Peer reviewed, 2023)The study of pigments in historical works of art is of significant value for conservators and art historians, providing insight into artistic techniques and the preservation of cultural heritage. Hyperspectral imaging aids ... -
Development of risk models of incident hypertension using machine learning on the HUNT study data
(Journal article; Peer reviewed, 2024)In this study, we aimed to create an 11-year hypertension risk prediction model using data from the Trøndelag Health (HUNT) Study in Norway, involving 17 852 individuals (20–85 years; 38% male; 24% incidence rate) with ... -
A virtual driving instructor that assesses driving performance on par with human experts
(Journal article; Peer reviewed, 2024)The advent of virtual driving instructors has the potential to revolutionize driver education by providing real-time, unbiased feedback to learner drivers. This paradigm shift aims to mitigate the innate subjectivity ... -
Tensor decomposition for painting analysis. Part 2: spatio-temporal simulation
(Journal article; Peer reviewed, 2023)In a previous article, we modelled the spectral and temporal dimensions of the photodegradation behaviour of pigments in the painting “A Japanese Lantern” by Oda Krohg. In particular, we extracted the endmembers and spectral ... -
A Data-Driven CBR and Clustering Method for Identifying Physical Activity Phenotypes
(Master thesis, 2023)Denne masteroppgåva undersøker nyskapande metodar for å identifisere fenotypar for fysisk aktivitet, hovudsakleg ved bruk av Case-Based Reasoning (CBR) og gruppering. Studien utforskar effektane av å variere talet på ... -
Employee reactions to planned organizational culture change: A configurational perspective
(Journal article; Peer reviewed, 2023)Can organizational culture be intentionally changed? And if so, what are the pathways to success versus failure? We address these questions by employing a configurational perspective, which allows us to examine the impact ... -
Estimating the Color Palette of Ortelius' Atlas: A case study of hyperspectral imaging for rapid pigment screening
(Journal article; Peer reviewed, 2023)The map collection, Kartsenteret, of the National Library of Norway is conducting a pilot study of its collection of approximately 150,000 maps. This collection covers a 500-year map and color history. Aiming to study the ... -
Unleashing the potential of fNIRS with machine learning: classification of fine anatomical movements to empower future brain-computer interface
(Peer reviewed; Journal article, 2024)In this study, we explore the potential of using functional near-infrared spectroscopy (fNIRS) signals in conjunction with modern machine-learning techniques to classify specific anatomical movements to increase the number ... -
Exploring end-user participation in the design of digital public services: an empirical study of discourse and practice
(Doctoral theses at NTNU;2024:89, Doctoral thesis, 2024)The public sector is intensifying the employment of digital solutions in providing public services based on promises of efficiency and improving citizens' experiences. This thesis explores how the participation of end-users ... -
Benchmarking Popular SVD libraries and Optimizing and Autotuning RSVD Targeting the Real-Time Applications
(Master thesis, 2023)Parallelle datamaskiner og GPUer tilbyr nå en tidligere utilgjenglig beregningskraft som kan utnyttes for sanntidsapplikasjoner. En slik sanntidsapplikasjon er DAS (Distributed Acoustic Sensing). DAS er spesielt interessant ... -
A Deep Diagnostic Framework Using Explainable Artificial Intelligence and Clustering
(Journal article; Peer reviewed, 2023)An important part of diagnostics is to gain insight into properties that characterize a disease. Machine learning has been used for this purpose, for instance, to identify biomarkers in genomics. However, when patient data ... -
Vacuum free energy, quark condensate shifts and magnetization in three-flavor chiral perturbation theory to O(𝑝6) in a uniform magnetic field
(Peer reviewed; Journal article, 2023)We study three-flavor QCD in a uniform magnetic field using chiral perturbation theory (χPT). We construct the vacuum free energy density, quark condensate shifts induced by the magnetic field and the renormalized magnetization ... -
Using Spatial Augmented Reality to Increase Perceived Translucency of Real 3D Objects
(Journal article, 2023)Translucency is an important optical and perceptual attribute that has a significant impact on the appearance of objects and materials. Expensive and time-consuming manufacturing process is required to produce a translucent ...