Browsing NR vitenarkiv by Title
Now showing items 179-198 of 288
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Predicting density-dependent somatic growth in Norwegian spring-spawning herring
(Journal article; Peer reviewed, 2022) -
Predicting density-dependent somatic growth in Norwegian spring-spawning herring
(Journal article; Peer reviewed, 2022) -
Prediction of occult atrial fibrillation in patients after cryptogenic stroke and transient ischaemic attack: PROACTIA
(Journal article; Peer reviewed, 2022)Aims Studies with implantable cardiac monitors (ICMs) show that one-third of patients with cryptogenic stroke/transient ischaemic attack (TIA) have episodes of subclinical atrial fibrillation (SCAF) and benefit switching ... -
Preservation of Trust in Long-Term Records Management Systems
(Report at the Norwegian Computing Center;, Research report, 2008) -
The privacy and control paradoxes in the context of smartphone apps
(Journal article; Peer reviewed, 2022) -
Privacy-preserving continuous authentication using behavioral biometrics
(Journal article; Peer reviewed, 2023)Continuous authentication modalities collect and utilize users’ sensitive data to authenticate them continuously. Such data contain information about user activities, behaviors, and other demographic information, which ... -
Privacy-preserving greater-than integer comparison without binary decomposition
(Chapter, 2020)Common for the overwhelming majority of privacy-preserving greater-than integer comparison schemes is that cryptographic computations are conducted in a bitwise manner. To ensure secrecy, each bit must be encoded in such ... -
Probabilistic rainy season onset prediction over the Greater Horn of Africa based on long-range multi-model ensemble forecasts
(Peer reviewed; Journal article, 2024)This works proposes a probabilistic framework for rainy season onset forecasts over Greater Horn of Africa derived from bias-corrected, long range, multi-model ensemble precipitation forecasts. A careful analysis of the ... -
Quantifying data volatility for IoT forensics with examples from Contiki OS
(Journal article; Peer reviewed, 2022)Forensic investigations are often conducted under limited resource availability such as time, equipment, and people. As data acquisition is resource-demanding already, a higher emphasis needs to be put on prioritizing the ... -
Quantifying means-end reasoning in simulation-based training: a logical approach
(Journal article; Peer reviewed, 2022) -
Quantile based modeling of diurnal temperature range with the five-parameter lambda distribution
(Journal article; Peer reviewed, 2022)Diurnal temperature range is an important variable in climate science that canprovide information regarding climate variability and climate change. Changesindiurnaltemperaturerangecanhaveimplicationsforhydrology,humanhealthand ... -
R2030: Digitaliseringsvennlig regelverk. Metoder for regelverksforenkling, med eksempler fra bruksforskriften
(NR-notat;, Research report, 2023)Digitalisering av regelverk gir effektiviseringsgevinster gjennom utvikling av digitale tjenester. For at et regelverk skal kunne digitaliseres effektivt, er det viktig å sørge for at reglene er så enkle som mulige og at ... -
Real-time prediction of propulsion motor overheating using machine learning
(Journal article; Peer reviewed, 2021) -
A real-time regional model for COVID-19: Probabilistic situational awareness and forecasting
(Journal article; Peer reviewed, 2023) -
Recent Harp and Hooded Seal Pup Production Estimates in the Greenland Sea Suggest Ecology-Driven Declines
(Journal article; Peer reviewed, 2022)Pup production of the Greenland Sea populations of harp (Pagophilus groenlandicus) and hooded (Cystophora cristata) seals were estimated based upon aerial surveys in March 2018. One fixed-wing aircraft was used for large-area ... -
Recommendations for quantitative uncertainty consideration in ecology and evolution
(Journal article; Peer reviewed, 2023)Correct quantification and reporting of model uncertainties are fundamental to reliable science. Failing to fully account for uncertainty in scientific work leads to overconfidence and potentially adverse actions. Despite ... -
Reducing Objective Function Mismatch in Deep Clustering with the Unsupervised Companion Objective
(Journal article; Peer reviewed, 2021) -
Rejoinder for the discussion of the paper "A Novel Algorithmic Approach to Bayesian Logic Regression"
(Peer reviewed; Journal article, 2020) -
Rejoinder for the discussion of the paper "A Novel Algorithmic Approach to Bayesian Logic Regression"
(Peer reviewed; Journal article, 2020)Logic regression was developed more than a decade ago as a tool to construct predictors from Boolean combinations of binary covariates. It has been mainly used to model epistatic effects in genetic association studies, ...