Blar i Publikasjoner fra CRIStin på tittel
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Price relationships along the Norwegian salmon value chains: A comparative study of the leading consumption market in France and the largest processing industry in Poland
(Peer reviewed; Journal article, 2022)This study investigates price relationships along the Norwegian salmon value chains in France, the EU’s leading consumption market for salmon, and Poland, the EU’s largest “processing hub.” Using a vector error correction ... -
Pricing electricity in constrained networks dominated by stochastic renewable generation and electric energy storage
(Peer reviewed; Journal article, 2021)This paper studies the electricity price formation in a competitive market when introducing generation from variable renewable energy technologies with zero marginal cost and electric energy storage systems. A power system ... -
Primary Porcine Brain Endothelial Cells as In Vitro Model to Study Effects of Ultrasound and Microbubbles on Blood-Brain Barrier Function
(Journal article; Peer reviewed, 2017)Focused ultrasound (FUS) in the presence of microbubbles transiently and reversibly opens the blood-brain barrier (BBB) in rodents and humans, thereby providing a time window for increased drug delivery into brain tissue. ... -
Primod – A fundamental short-term model for power system analyses and multimarket price forecasting
(SINTEF Rapport;, Research report, 2021) -
Primærrensing og aktuelle løsninger for slambehandling i norske settefiskanlegg
(SINTEF Ocean rapporter;A24445, Research report, 2013-05-24)Rapporten gir en oversit over aktuelle prosesser for primærrensing, avvanning og håndtering av slam fra norske settefiskanlegg -
Principal component analysis for decision support in integrated water management
(Journal article; Peer reviewed, 2019)A general methodology for holistic sustainability assessment of measures in integrated water management based on principal component analysis (PCA) was developed. Application on data from three cases demonstrated that PCA ... -
Principal Feature Visualisation in Convolutional Neural Networks
(Peer reviewed; Journal article, 2020)We introduce a new visualisation technique for CNNs called Principal Feature Visualisation (PFV). It uses a single forward pass of the original network to map principal features from the final convolutional layer to the ... -
Prioritization of Trains: mathematical model
(, Research report, 2014)We present a mathematical optimization model suitable for providing decision support on train dispatching on small and medium sized regional lines. An implementation of the model has undergone extensive real life testing ... -
Privacy Challenges for Process Mining in Human-Centered Industrial Environments
(Chapter, 2018)Operators in industrial manufacturing environments are under pressure to cope with increasing flexibility and complexity of work. The automation of manufacturing requires operators to adopt new techniques and shifts the ... -
Privacy in Mobile Apps. Measuring Privacy Risks in Mobile Apps
(SINTEF Rapport;, Research report, 2016)Privacy risks are increasingly linked to how people use their smartphones and tablets. This study investigates privacy issues in 21 mobile apps for Android. The experiment was done in Oslo, Norway, in November and December ... -
Privacy reinforcement learning for faults detection in the smart grid
(Peer reviewed; Journal article, 2021)Recent anticipated advancements in ad hoc Wireless Mesh Networks (WMN) have made them strong natural candidates for Smart Grid’s Neighborhood Area Network (NAN) and the ongoing work on Advanced Metering Infrastructure ... -
Privacy-Aware IoT: State-of-the-Art and Challenges
(Chapter, 2023)The consumer IoT is now prevalent and creates an enormous amount of fine-grained, detailed information about consumers’ everyday actions, personalities, and preferences. Such detailed information brings new and unique ... -
Privacy-Preserving Process Mining: Differential Privacy for Event Logs
(Journal article; Peer reviewed, 2019)Privacy regulations for data can be regarded as a major driver for data sovereignty measures. A specific example for this is the case of event data that is recorded by information systems during the processing of entities ... -
Privat 2.0: Person- og forbrukervern i den nye medievirkeligheten
(Research report, 2009)I løpet av kort tid har nye sosiale medier endret både på teknologiske muligheter og kommunikasjonsmønstre oss imellom. Dette har igjen forandret betingelsene for person- og forbrukervern. Brukerne er blitt innholdsprodusenter ... -
Private helseforsikringer og sykefravær
(SINTEF Rapport;A26976, Research report, 2015)Helseforsikringer har ingen effekt på sykefraværet SINTEF har med finansiering av NHOs arbeidsmiljøfond gjennomført en undersøkelse om hvorvidt helseforsikringer bidrar til å redusere sykefraværet i bedriftene. Datagrunnlaget ... -
Privatization and Coercive Isomorphic Pressure in Norwegian Early Childhood Education and Care (1987-2020)
(Peer reviewed; Journal article, 2023)This article analyses the privatization of Early Childhood Education and Care (ECEC) provision in Norway between 1987 and 2020. My analytical framework combines theories of structured organizational fields and gradual ... -
Proactive Collision Avoidance for Autonomous Ships: Leveraging Machine Learning to Emulate Situation Awareness
(Peer reviewed; Journal article, 2021)Autonomous ship technology is developing at a rapid pace, with the aim of facilitating safe ship operations. Collision avoidance is one of the most critical tasks that autonomous ships must handle. To support the level of ... -
Probabilistic finite element analysis of failures in concrete dams with large asperities in the rock–concrete interface
(Peer reviewed; Journal article, 2023)Common analytical assessment methods for concrete dams are unlikely to predict material fracture in the dam body because of the assumption of rigid body behavior and uniform- or linear stress distribution along a predetermined ... -
Probabilistic operational planning using dynamic programming with time-domain simulations
(Peer reviewed; Journal article, 2022)A dynamic programming model with time-domain simulations of contingencies is created to find the least-costly operational strategies according to a probabilistic operational criterion with selected preventive and corrective ... -
Probabilistic Planning of Distribution Networks with Optimal DG Placement Under Uncertainties
(Peer reviewed; Journal article, 2023)This research paper presents an efficient methodology for distribution network planning under an uncertain environment. As an extension of our previous work presented at the ECCE Asia 2021 conference, here optimal placement ...