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Application of physics-informed neural networks to inverse problems in unsaturated groundwater flow
(Peer reviewed; Journal article, 2021)This paper investigates the application of Physics-Informed Neural Networks (PINNs) to inverse problems in unsaturated groundwater flow. PINNs are applied to the types of unsaturated groundwater flow problems modelled with ... -
Application of Polymethylpentene, an Oxygen Permeable Thermoplastic, for Long-Term on-a-Chip Cell Culture and Organ-on-a-Chip Devices
(Peer reviewed; Journal article, 2023)The applicability of a gas-permeable, thermoplastic material polymethylpentene (PMP) was investigated, experimentally and analytically, for organ-on-a-chip (OoC) and long-term on-a-chip cell cultivation applications. Using ... -
Application of radar data to estimate distributed return periods of extreme rainfall events over Trondheim
(SINTEF Energi. Rapport;, Research report, 2013)The return period of a given rainfall intensity is an important parameter for the Trondheim municipality since the drainage systems in Trondheim have been and are still being designed on the basis of a selected return ... -
Application of radio frequency identification tags for marking of fish gillnets and crab pots: Trials in the Norwegian Sea and the Barents Sea, Norway
(Peer reviewed; Journal article, 2022)Marking of fishing gear is an important step in reducing abandoned, lost, and discarded gear, thereby reducing the amount of plastic pollution in the sea. With the help of fishers in their daily work on the Norwegian coast, ... -
Application Of Refrigeration Technologies For Energy Efficient Production Of Fish Protein Hydrolysates
(Chapter; Peer reviewed, 2022)Fish protein hydrolysate (FPH) is one of the most efficient and sustainable way to recover the valuable nutrients from fish remaining materials and has a widespread application. However, the production of FPH demands ... -
Application of Three-Dimensional CFD Model to Determination of the Capacity of Existing Tyrolean Intake
(Peer reviewed; Journal article, 2024)CFD models of intakes in high-head hydropower systems are rare due to the lack of geometric data and cost of modeling. This study tests two different types of software to see how modeling can be performed in a cost-effective ... -
Application range of the HEM approach for CO2 expansion inside two-phase ejectors for supermarket refrigeration systems
(Peer reviewed; Journal article, 2015)In this study, the accuracy of the homogeneous equilibrium (HEM) applied to 3-D CFD-based simulations of CO2 expansion inside two-phase ejectors is presented. The HEM approach previously reported in the literature were ... -
Applications of Big Data and Data Science in the Electricity Distribution Grid - State-of-the-art
(SINTEF Rapport;, Research report, 2020)Almost every household in Norway has a smart electricity meter installed. The advanced functionality of the meters and the large amounts of data transmitted from them have the potential to contribute to more than just a ... -
Applications of Big Data and Data Science in the Electricity Distribution Grid - State-of-the-art
(SINTEF Rapport;2020:00530, Research report, 2020)Almost every household in Norway has a smart electricity meter installed. The advanced functionality of the meters and the large amounts of data transmitted from them have the potential to contribute to more than just a ... -
Applied Optimization at SINTEF
(Lecture, 2008) -
Applying Endogenous Learning Models in Energy System Optimization
(Peer reviewed; Journal article, 2021)Conventional energy production based on fossil fuels causes emissions that contribute to global warming. Accurate energy system models are required for a cost-optimal transition to a zero-emission energy system, which is ... -
Applying machine learning in motor activity time series of depressed bipolar and unipolar patients compared to healthy controls
(Peer reviewed; Journal article, 2020)Current practice of assessing mood episodes in affective disorders largely depends on subjective observations combined with semi-structured clinical rating scales. Motor activity is an objective observation of the inner ... -
Applying Object Detection to Marine Data and Exploring Explainability of a Fully Convolutional Neural Network Using Principal Component Analysis
(Peer reviewed; Journal article, 2021)With the rise of focus on man made changes to our planet and wildlife therein, more and more emphasis is put on sustainable and responsible gathering of resources. In an effort to preserve maritime wildlife the Norwegian ... -
Applying successive linear programming for stochastic short-term hydropower optimization
(Journal article; Peer reviewed, 2016)We present a model for operational stochastic short-term hydropower scheduling, taking into account the uncertainty in future prices and inflow, and illustrate how the benefits of using a stochastic rather than a deterministic ... -
Applying the fundamentals of TPS to realize a resilient and responsive manufacturing system
(Peer reviewed; Journal article, 2022)Concepts like the Toyota Production System (TPS) and Quick Response Manufacturing (QRM) are often presented as alternative manufacturing methods or strategies suited for different manufacturing conditions. QRM is depicted ... -
Applying Transactional NPS for Customer Journey Insight: Case Experiences and Lessons Learnt
(Journal article; Peer reviewed, 2018)While the concept of “customer journeys” is widely taken up to support service design and management, practical frameworks for routine monitoring of customer experience in the context of customer journeys are lacking. This ... -
Applying Vector Fitting for Measurement-based Multiple-Input Multiple-Output Model Identification of a Grid-Forming Converter
(Chapter; Peer reviewed, 2023)This paper presents an approach for applying Vector Fitting (VF) to identify a small-signal state-space model of a power electronic converter represented as a multiple-input multiple-output (MIMO) system. A workflow for ... -
An approach for VLE model development, validation, and implementation in Aspen Plus for amine blends in CO2 capture: the HS3 solvent case study
(Peer reviewed; Journal article, 2023)Carbon Capture and Storage (CCS) using chemical absorption is a viable method to significantly cut CO2 emissions in the industrial and energy sectors. However, further development of improved absorbents is necessary to ... -
An approach to data structuring and predictive analysis in discrete manufacturing
(Peer reviewed; Journal article, 2021)In discrete manufacturing the variation in process parameters and duration is often large. Common data storage and analytics systems primarily store data in univariate time series, and when analysing machine components of ... -
An Approach to Update the Failure Rates of Safety Barriers Based on Operating Experience
(Peer reviewed; Journal article, 2022)Hazardous events in process plants like the leakage of dangerous substances can result in severe damage, and such an event is often defined as the TOP event of a fault tree analysis (FTA) in a quantitative risk analysis. ...