Browsing NR vitenarkiv by Title
Now showing items 1-20 of 313
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A brief overview of methods for synthetic data for official statistics
(NR-notat ; SAMBA/23/20, Research report, 2020) -
A Novel Algorithmic Approach to Bayesian Logic Regression (with Discussion)
(Peer reviewed; Journal article, 2020) -
An Abstract Machine Approach to Preserving Digital Information
(Journal article; Peer reviewed, 2021) -
Acoustic classification in multifrequency echosounder data using deep convolutional neural networks
(Journal article; Peer reviewed, 2020)Acoustic target classification is the process of assigning observed acoustic backscattering intensity to an acoustic category. A deep learning strategy for acoustic target classification using a convolutional network is ... -
Adaptive registration of remote sensing images using supervised learning
(Peer reviewed; Journal article, 2009)This paper describes a system for co-registration of time series satellite images which uses a learning-based strategy. During a training phase, the system learns to recognize regions in an image suited for registration. ... -
Adaptive Safety for Internet of Things in e-Health
(Journal article, 2022)Wireless pervasive computing devices are rapidly penetrating our environments, where e-Health is among the most critical ones. In the e-Health environment it is not only important to address security and privacy issues ... -
Adaptive Security and Trust Management for Autonomous Messaging Systems
(Journal article, 2022)With society's increased dependence on information communication systems, the need for dependable, trustable, robust, and secure adaptive systems becomes ever more acute. Modern autonomic message-oriented middleware platforms ... -
Addressing class imbalance in deep learning for acoustic target classification
(Journal article; Peer reviewed, 2023)Acoustic surveys provide important data for fisheries management. During the surveys, ship-mounted echo sounders send acoustic signals into the water and measure the strength of the reflection, so-called backscatter. ... -
Adhd and mental health symptoms in the identification of young adults with increased risk of alcohol dependency in the general population—the hunt4 population study
(Journal article; Peer reviewed, 2021) -
Advice on fishing opportunities for beaked redfish in 2025 and 2026 in ICES subareas 1 and 2
(IMR/PINRO Joint Report Series;, Research report, 2024) -
Advice on fishing opportunities for Northeast Arctic cod in 2025 in ICES subareas 1 and 2
(IMR/PINRO Joint Report Series;, Research report, 2024) -
Age-dependent patterns of spatial autocorrelation in fish populations
(Journal article; Peer reviewed, 2021) -
An agent-based model with social interactions for scalable probabilistic prediction of performance of a new product
(Journal article; Peer reviewed, 2022) -
ALerT – Learning about privacy at the time of data sharing everywhere
(Journal article, 2020) -
Analysis of Deep Convolutional Neural Networks Using Tensor Kernels and Matrix-Based Entropy
(Journal article; Peer reviewed, 2023)Analyzing deep neural networks (DNNs) via information plane (IP) theory has gained tremendous attention recently to gain insight into, among others, DNNs’ generalization ability. However, it is by no means obvious how to ... -
Analysis of Deep Convolutional Neural Networks Using Tensor Kernels and Matrix-Based Entropy
(Journal article; Peer reviewed, 2023) -
Anbefalinger fra TiTi-prosjektet (Leveransene L3.2, L4.3, L5.2 og L5.3)
(NR-notat;, Research report, 2022) -
Anticipatory Adaptive Security for IoT-based Smart Grids Infrastructure and Value-added Services
(NR-notat;, Research report, 2020)The report describes the research and development of adaptive security addressing the protection of "IoT-based smart grids" against evolutionary threats and attacks through the prediction and advanced behavioural analysis ... -
Anvendelser av Norges historiske befolkningsregister
(Peer reviewed; Journal article, 2020) -
Arctic Fisheries Working Group (AFWG; outputs from 2022 meeting)
(Journal article, 2023)