Browsing SINTEF Open by Title
Now showing items 2026-2045 of 10126
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A Decision Support System for preclinical assessment of nanomaterials in medical products: the REFINE DSS
(Peer reviewed; Journal article, 2022)The application of nanomaterials in medicine has led to novel pharmaceuticals and medical devices that have demonstrated a strong potential for increasing the efficacy/performance and safety of therapeutic and diagnostic ... -
Deconfliction and Surface Generation from Bathymetry Data Using LR B-splines
(Chapter, 2017)A set of bathymetry point clouds acquired by different measurement techniques at different times, having different accuracy and varying patterns of points, are approximated by an LR B-spline surface. The aim is to represent ... -
Deconstructing (e)health literacy: aspects that promote and inhibit understanding of health information in breast cancer patient pathways
(Peer reviewed; Journal article, 2022)Purpose: Deconstructing current definitions of “health literacy (HL)” and “eHealth literacy (eHL)”, into the core notion of “understanding health information (HI)”, this study provides insights into what promotes and ... -
Decoupled Active and Reactive Power Controllers for Damping Low-Frequency Oscillations using Virtual Synchronous Machines
(Chapter; Peer reviewed, 2023)In this paper, a power oscillation damping (POD) controller embedded in virtual synchronous machines (VSMs) is proposed. This controller suggests the decoupled use of both active and reactive powers to damp low-frequency ... -
DECRIS - Risk and Decision Systems for Critical Infrastructures. Metode og verktøy for en samlet risikovurdering av kritiske infrastrukturer
(SINTEF Rapport;, Research report, 2009)Prosjektet DECRIS er finansiert av Norges forskningsråd under SAMRISK-programmet. Det er et samarbeidsprosjekt mellom SINTEF, FFI og NTNU. Prosjektet har utviklet og tilpasset metoder for risikovurdering for kritisk ... -
Deep CNN-LSTM With Self-Attention Model for Human Activity Recognition Using Wearable Sensor
(Peer reviewed; Journal article, 2022)Human Activity Recognition (HAR) systems are devised for continuously observing human behavior - primarily in the fields of environmental compatibility, sports injury detection, senior care, rehabilitation, entertainment, ... -
Deep Complex Convolutional Recurrent Network for Multi-Channel Speech Enhancement and Dereverberation
(Chapter, 2021)This paper proposes a neural network based system for multi-channel speech enhancement and dereverberation. Speech recorded indoors by a far field microphone, is invariably degraded by noise and reflections. Recent single ... -
Deep customization of multi-tenant SaaS using intrusive microservices
(Journal article; Peer reviewed, 2018)Enterprise software needs to be customizable, and the customization needs from a customer are often beyond what the software vendor can predict in advance. In the on-premises era, customers do deep customizations beyond ... -
Deep learning based decomposition for visual navigation in industrial platforms
(Peer reviewed; Journal article, 2021)In the heavy asset industry, such as oil & gas, offshore personnel need to locate various equipment on the installation on a daily basis for inspection and maintenance purposes. However, locating equipment in such GPS ... -
Deep learning based hashtag recommendation system for multimedia data
(Peer reviewed; Journal article, 2022)This work aims to provide a novel hybrid architecture to suggest appropriate hashtags to a collection of orpheline tweets. The methodology starts with defining the collection of batches used in the convolutional neural ... -
Deep learning for image-based liver analysis — A comprehensive review focusing on malignant lesions
(Peer reviewed; Journal article, 2022)Deep learning-based methods, in particular, convolutional neural networks and fully convolutional networks are now widely used in the medical image analysis domain. The scope of this review focuses on the analysis using ... -
Deep Learning for Improved Precision and Reproducibility of Left Ventricular Strain in Echocardiography: A Test-Retest Study
(Peer reviewed; Journal article, 2023)Aims: Assessment of left ventricular (LV) function by echocardiography is hampered by modest test-retest reproducibility. A novel artificial intelligence (AI) method based on deep learning provides fully automated measurements ... -
Deep learning for pedestrian collective behavior analysis in smart cities: A model of group trajectory outlier detection
(Peer reviewed; Journal article, 2021)This paper introduces a new model to identify collective abnormal human behaviors from large pedestrian data in smart cities. To accurately solve the problem, several algorithms have been proposed in this paper. These can ... -
Deep learning for prediction of depressive symptoms in a large textual dataset
(Peer reviewed; Journal article, 2021)Depression is a common illness worldwide with potentially severe implications. Early identification of depressive symptoms is a crucial first step towards assessment, intervention, and relapse prevention. With an increase ... -
Deep learning to predict power output from respiratory inductive plethysmography data
(Peer reviewed; Journal article, 2022)Power output is one of the most accurate methods for measuring exercise intensity during outdoor endurance sports, since it records the actual effect of the work performed by the muscles over time. However, power meters ... -
Deep neural network enabled corrective source term approach to hybrid analysis and modeling
(Peer reviewed; Journal article, 2022)In this work, we introduce, justify and demonstrate the Corrective Source Term Approach (CoSTA)—a novel approach to Hybrid Analysis and Modeling (HAM). The objective of HAM is to combine physics-based modeling (PBM) and ... -
Deep neural networks for analysis of fisheries surveillance video and automated monitoring of fish discards
(Journal article; Peer reviewed, 2019)We report on the development of a computer vision system that analyses video from CCTV systems installed on fishing trawlers for the purpose of monitoring and quantifying discarded fish catch. Our system is designed to ... -
Deep Reinforcement Learning Attitude Control of Fixed Wing UAVs Using Proximal Policy Optimization
(Chapter; Peer reviewed, 2019)Contemporary autopilot systems for unmanned aerial vehicles (UAVs) are far more limited in their flight envelope as compared to experienced human pilots, thereby restricting the conditions UAVs can operate in and the types ... -
Deep Reinforcement Learning for Long Term Hydropower Production Scheduling
(Chapter; Peer reviewed, 2020)We explore the use of deep reinforcement learning to provide strategies for long term scheduling of hydropower production. We consider a use-case where the aim is to optimise the yearly revenue given week-by-week inflows ... -
Deep Sea Offshore Wind R&D Conference 24-25 January 2013
(SINTEF Energi. Rapport;, Research report, 2013)