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Data-driven modelling with coarse-grid network models
(Peer reviewed; Journal article, 2023)We propose to use a conventional simulator, formulated on the topology of a coarse volumetric 3D grid, as a data-driven network model that seeks to reproduce observed and predict future well responses. The conceptual ... -
Data-driven quasi-interpolant spline surfaces for point cloud approximation
(Peer reviewed; Journal article, 2020)In this paper we investigate a local surface approximation, the Weighted Quasi Interpolant Spline Approximation (wQISA), specifically designed for large and noisy point clouds. We briefly describe the properties of the ... -
Data-driven quasi-interpolant spline surfaces for point cloud approximation
(Peer reviewed; Journal article, 2020)In this paper we investigate a local surface approximation, the Weighted Quasi Interpolant Spline Approximation (wQISA), specifically designed for large and noisy point clouds. We briefly describe the properties of the ... -
DataBio Deliverable D4.4 – Service Documentation
(H2020 732064;D4.4, Research report, 2019-12)The public deliverable D4.4 describes the software components and processes (here called pipelines as the processes mostly consist of Big Data volumes streaming through successive processing steps) to be utilized by the ... -
DataCloud: Enabling the Big Data Pipelines on the Computing Continuum
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DataGraft beta v2: New features and capabilities
(Journal article; Peer reviewed, 2017)In this demonstrator, we will introduce the latest features and capabil-ities added to DataGraft – a Data-as-a-Service platform for data preparation and knowledge graph generation. DataGraft provides data transformation, ... -
DataGraft: A Platform for Open Data Publishing
(Journal article; Peer reviewed, 2016)DataGraft is a platform for Open Data management. It has the goals to simplify and speed up the data publishing process and to improve the reliability and scalability of the data consumption process. This demonstrator ... -
Datakvalitet ved digitalisering i petroleumssektoren
(SINTEF Rapport;2021:00053, Research report, 2021)Formålet med denne rapporten er å undersøke hvilke datakilder og data som benyttes i industrielle IKT-systemer og hvordan data behandles og prosesseres før de gjøres tilgjengelig i kontornettet. Styrker og sårbarheter ... -
A Decade of Research on Autonomous Agile Teams: A Summary of the Third International Workshop
(Peer reviewed; Journal article, 2020)Ever since the agile manifesto was created in 2001, the research community has devoted attention to autonomous teams. This article first examines publications on autonomous agile teams to illustrate how the research has ... -
A decade of research on patterns and architectures for IoT security
(Peer reviewed; Journal article, 2022)Security of the Internet of Things (IoT)-based Smart Systems involving sensors, actuators and distributed control loop is of paramount importance but very difficult to address. Security patterns consist of domain-independent ... -
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 ... -
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 ...