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Facing uncertainty in cyber insurance policies
(Journal article; Peer reviewed, 2017)Cyber insurance has gained less ground in Europe than in the U.S., but with emerging laws and regulations, the prospect of considerable fines for security breaches is pushing many organisations into this market. A qualitative ... -
Factors associated with predictors of smoking cessation from a Norwegian internet-based smoking cessation intervention study
(Peer reviewed; Journal article, 2022)Introduction: We examined if we could identify predictors for smoking cessation at six months post cessation, among smokers enrolled in a large Norwegian populationbased intervention study. Methods: We followed 4333 ... -
Factors associated with staff-to-resident abuse in Norwegian nursing homes: a cross-sectional exploratory study
(Peer reviewed; Journal article, 2021) -
Fagfornyelsen, profesjonsfellesskap og partssamarbeid
(SINTEF Rapport;2022:00963, Research report, 2022)Prosjektet gir innsikt i hvordan profesjonsfelleskap i grunnskoler og videregående skoler jobber for at elevene skal oppleve Fagfornyelsens intensjoner, og hvordan lokale skolemyndigheter, skoleledelse, lærere og ... -
Faktagrunnlag til Akershus Fylkeskommunes hydrogenstrategi
(Research report, 2016)På oppdrag av Akershus Fylkeskommune har SINTEF utarbeidet dette faktagrunnlaget til Akershus Fylkeskommunes hydrogenstrategi. Denne rapporten omtaler status og forventet utvikling for hydrogenteknologien, både hydrogenforbrukere ... -
Family involvement in child welfare services: The association between socio-economic status and self-reported parenting practices
(Peer reviewed; Journal article, 2022)In child welfare policies, as in contemporary society in general, great attention has been given to parenting roles and investing in ‘positive’ parenting practices. Several studies have suggested that socio-economic factors ... -
Fast and accurate convolution neural network for detecting manufacturing data
(Peer reviewed; Journal article, 2021)This article introduces a technique known as clustering with particle for object detection (CPOD) for use in smart factories. CPOD builds on regional-based methods to identify smart object data using outlier detection, ... -
Fast and Accurate Deep Learning Framework for Secure Fault Diagnosis in the Industrial Internet of Things
(Peer reviewed; Journal article, 2021)This paper introduced a new deep learning framework for fault diagnosis in electrical power systems. The framework integrates the convolution neural network and different regression models to visually identify which faults ... -
Fast and accurate group outlier detection for trajectory data
(Peer reviewed; Journal article, 2020)Previous approaches to solve the trajectory outlier detection problem exclusively examine single outliers. However, anomalies in trajectory data may often occur in groups. This paper introduces a new problem, group trajectory ... -
Fast divergence-conforming reduced basis methods for stationary and transient flow problems
(Peer reviewed; Journal article, 2020)Reduced basis methods (RB methods or RBMs) form one of the most promising techniques to deliver numerical solutions of parametrized PDEs in real-time with reasonable accuracy [1]. For the Navier-Stokes equation, RBMs based ... -
Fast divergence-conforming reduced basis methods for steady Navier–Stokes flow
(Journal article; Peer reviewed, 2018)Reduced-basis methods (RB methods or RBMs) form one of the most promising techniques to deliver numerical solutions of parametrized PDEs in real-time with reasonable accuracy. For incompressible flow problems, RBMs based ... -
Faster, broader, and deeper! Suggested directions for research on net-zero transitions
(Peer reviewed; Journal article, 2023)The growing attention to the political goal of achieving net-zero emissions by mid-century reflects past failures to alter the trajectory of increasing greenhouse gas (GHG) emissions. As a consequence, the world now needs ... -
FastPathology: An open-source platform for deep learning-based research and decision support in digital pathology
(Peer reviewed; Journal article, 2021)Deep convolutional neural networks (CNNs) are the current state-of-the-art for digital analysis of histopathological images. The large size of whole-slide microscopy images (WSIs) requires advanced memory handling to read, ... -
FI – M2M D1.1 Platform architecture
(Research report, 2011)This document specifies the architecture of the FI – M2M development platform -
Fiber-optic sensor for real-time monitoring of temperature on high voltage (400kV) power transmission lines
(Chapter, 2009)On-line monitoring of temperature and sag in 400KV power transmission line has successfully been implemented by a novel device using fibre Bragg grating (FBG) sensors. The complete device has been fabricated with aluminum ... -
Finding Data Should be Easier than Finding Oil
(Chapter; Peer reviewed, 2018)The competitiveness of modern enterprises heavily depends on their ability to make the right business decisions by relying on efficient and timely analysis of the right business critical data. In large and data intensive ... -
Finding Relevant Psychoeducation Content for Adolescents Experiencing Symptoms of Depression: Content Analysis of User-Generated Online Texts
(Peer reviewed; Journal article, 2021)Background: Symptoms of depression are frequent in youth and may develop into more severe mood disorders, suggesting interventions should take place during adolescence. However, young people tend not to share mental ... -
Finding the Sweet Spot for Organizational Control and Team Autonomy in Large-Scale Agile Software Development
(Peer reviewed; Journal article, 2021)Agile methods and the related concepts of employee empowerment, self-management, and autonomy have reached large-scale software organizations and raise questions about commonly adopted principles for authority distribution. ... -
Finite-size limitations on quality factor of guided resonance modes in 2D photonic crystals
(Journal article, 2013)High-Q guided resonance modes in two-dimensional photonic crystals, enable high field intensity in small volumes that can be exploited to realize high performance sensors. We show through simulations and experiments how ... -
First among smart regions in Norway. Evaluation of Nordland's innovation strategy for smart specialisation 2014-2020
(SINTEF Rapport;2021:00004, Research report, 2021)A successful innovation in industrial development policy. The report evaluates Nordland County Council's innovation strategy (2014-2020), the first regional strategy for industrial development in Norway following the EU ...