Browsing Publikasjoner fra CRIStin - NTNU by Title
Now showing items 35753-35772 of 37734
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Uncertainty principle via variational calculus on modulation spaces
(Journal article; Peer reviewed, 2022)We approach uncertainty principles of Cowling-Price-Heis-enberg-type as a variational principle on modulation spaces. In our discussion we are naturally led to compact localization operators with symbols in modulation ... -
Uncertainty propagation through a point model for steady-state two-phase pipe flow
(Peer reviewed; Journal article, 2020)Uncertainty propagation is used to quantify the uncertainty in model predictions in the presence of uncertain input variables. In this study, we analyze a steady-state point-model for two-phase gas-liquid flow. We present ... -
Uncertainty quantification and sensitivity analysis for computational FFR estimation in stable coronary artery disease
(Journal article; Peer reviewed, 2018)Purpose The main objectives of this study are to validate a reduced-order model for the estimation of the fractional flow reserve (FFR) index based on blood flow simulations that incorporate clinical imaging and ... -
Uncertainty quantification and sensitivity analysis of material parameters in crystal plasticity finite element models
(Journal article, 2018)A number of studies have directly compared measurements of polycrystals’ deformation to the solution of a crystal plasticity model of the same polycrystal. An accurate representation of the full 3D microstructure and the ... -
Uncertainty quantification in the ice-induced local damage assessment of a hull section
(Journal article; Peer reviewed, 2019)For the northernmost ocean regions, where the ice is occasionally present, one must design a robust structure that can withstand rare ice events (i.e., a glacial ice impact). Despite existing engineering practice is well ... -
Uncertainty quantification of computational coronary stenosis assessment and model based mitigation of image resolution limitations
(Journal article; Peer reviewed, 2019)Coronary artery disease is one of the leading causes of death globally. The hallmark of this disease is the occurrence of stenosed coronary arteries which reduce blood flow to the myocardium. Severely stenosed arteries can ... -
Uncertainty, expertise, and persuasion: A replication and extension of Karmarkar and Tormala (2010)
(Journal article; Peer reviewed, 2024)If you are trying to persuade someone, expressing your opinion with certainty intuitively seems like a good strategy to maximize your influence. However, Karmarkar and Tormala (2010) found that the effectiveness of this ... -
An Uncertainty-aware Hybrid Approach for Sea State Estimation Using Ship Motion Responses
(Peer reviewed; Journal article, 2021)Situation awareness is essential for autonomous ships. One key aspect is to estimate the sea state in a real-time manner. Considering the ship as a large wave buoy, the sea state can be estimated from motion responses ... -
Uncertainty-Aware Visually-Attentive Navigation Using Deep Neural Networks
(Peer reviewed; Journal article, 2023)Autonomous navigation and information gathering in challenging environments are demanding since the robot’s sensors may be susceptible to non-negligible noise, its localization and mapping may be subject to significant ... -
Unconditionally Secure NIZK in the Fine-Grained Setting
(Peer reviewed; Journal article, 2022)Non-interactive zero-knowledge (NIZK) proof systems are often constructed based on cryptographic assumptions. In this paper, we propose the first unconditionally secure NIZK system in the AC0 -fine-grained setting. More ... -
Uncontrolled manifold analysis of gait kinematic synergy during normal and narrow path walking in individuals with knee osteoarthritis compared to asymptomatic individuals
(Journal article, 2022)Knee osteoarthritis (KOA) is a common musculoskeletal disorder resulting in altered gait patterns. Uncontrolled manifold (UCM) analysis has been demonstrated as a useful approach for quantitative analysis of motor variability ... -
Unconventional Continuous Structural Disorder at the Order-Disorder Phase Transition in the Hexagonal Manganites
(Journal article; Peer reviewed, 2019)The improper ferroelectricity in YMnO3 and other related multiferroic hexagonal manganites is known to cause topologically protected ferroelectric domains that give rise to rich and diverse physical phenomena. The local ... -
Unconventional growth of methane hydrates: A molecular dynamics and machine learning study
(Peer reviewed; Journal article, 2023)Natural gas hydrate reservoirs in natural settings subjected to external driving forces are deformed and locally dissociated, while they reform due to endothermic dissociation reaction. Here we report a molecular dynamics ... -
Unconventional Meissner screening induced by chiral molecules in a conventional superconductor
(Peer reviewed; Journal article, 2021)The coupling of a superconductor (SC) to a different material often results in a system with unconventional superconducting properties. A conventional SC is a perfect diamagnet expelling magnetic fields out of its volume, ... -
Unconventional Superconductivity on a Topological Insulator
(Journal article; Peer reviewed, 2010)We study proximity-induced superconductivity on the surface of a topological insulator (TI), focusing on unconventional pairing. We find that the excitation spectrum becomes gapless for any spin-triplet pairing, such that ... -
Uncovering neutral and adaptive genomic differentiation among European perch with brackish water and freshwater origin in the western Baltic Sea region
(Peer reviewed; Journal article, 2023)Environmental variation across the range of wild species can lead to local adaptations. The Baltic Sea was formed when the Fenno-Scandian ice sheet retreated around 12 thousand years ago, creating a new brackish water ... -
Uncovering Strategies and Commitment Through Machine Learning System Introspection
(Journal article; Peer reviewed, 2023)Deep neural networks are naturally “black boxes”, offering little insight into how or why they make decisions. These limitations diminish the adoption likelihood of such systems for important tasks and as trusted teammates. ... -
Uncovering the dark side of AI-based decision-making: A case study in a B2B context
(Peer reviewed; Journal article, 2023)Over the last decade, many organizations worldwide have been assimilating Artificial Intelligence (AI) technologies to increase their productivity and attain a competitive advantage. As with any technology, intelligence ... -
Uncovering the drivers of host-associated microbiota with joint species distribution modelling
(Journal article; Peer reviewed, 2018)In addition to the processes structuring free‐living communities, host‐associated microbiota are directly or indirectly shaped by the host. Therefore, microbiota data have a hierarchical structure where samples are nested ... -
Uncovering the Educational Data Mining Landscape and Future Perspective: A Comprehensive Analysis
(Journal article; Peer reviewed, 2023)Educational data mining (EDM) enables improving educational systems by using data mining techniques on educational data to analyze students’ learning processes to extract valuable information that helps optimize teaching ...