Blar i Publikasjoner fra CRIStin - SINTEF AS på tittel
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Data Quality Barriers for Transparency in Public Procurement
(Peer reviewed; Journal article, 2022)Governments need to be accountable and transparent for their public spending decisions in order to prevent losses through fraud and corruption as well as to build healthy and sustainable economies. Open data act as a major ... -
Data quality issues for vibration sensors: a case study in ferrosilicon production
(Chapter, 2022)Digitisation in the mining and metal processing industries plays a key role in their modernisation. Production processes are more and more supported by a variety of sensors that produce large amounts of data that meant to ... -
Data quality issues in solar panels installations: a case study
(Chapter, 2022)Solar photovoltaics (PV) is becoming an important source of global electricity generation. Modern PV installations come with a variety of sensors attached to them for monitoring purposes (e.g., maintenance, prediction of ... -
Data Safety, Sources, and Data Flow in the Offshore Industry
(Chapter; Peer reviewed, 2021)Digitization may provide increased access to and more efficient use of real-time and historical data, internally as well as externally in an organization. However, when information from industrial control systems (ICS) ... -
The Data Value Quest: A Holistic Semantic Approach at Bosch
(Peer reviewed; Journal article, 2022) -
A data-driven approach for twitter hashtag recommendation
(Peer reviewed; Journal article, 2020)This paper addresses the hashtag recommendation problem using high average-utility pattern mining. We introduce a novel framework called PM-HRec (Pattern Mining for Hashtag Recommendation). It consists of two main stages. ... -
A Data-Driven Approach for Twitter Hashtag Recommendation
(Peer reviewed; Journal article, 2020)This paper addresses the hashtag recommendation problem using high average-utility pattern mining. We introduce a novel framework called PM-HRec (Pattern Mining for Hashtag Recommendation). It consists of two main stages. ... -
Data-driven asset management in urban water pipe networks: a proposed conceptual framework
(Peer reviewed; Journal article, 2021)Analytical tools used in infrastructure asset management of urban water pipe networks are reliant on asset data. Traditionally, data required by analytical tools has not been collected by most water utilities because it ... -
Data-driven deconvolution for large eddy simulations of Kraichnan turbulence
(Journal article; Peer reviewed, 2018)In this article, we demonstrate the use of artificial neural networks as optimal maps which are utilized for convolution and deconvolution of coarse-grained fields to account for sub-grid scale turbulence effects. We ... -
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 ... -
DataCloud: Enabling the Big Data Pipelines on the Computing Continuum
(Chapter, 2021) -
Datadrevet oppvarming reduserer energibruken i bygg
(Journal article, 2023)Ved å forutsi det faktiske oppvarmingsbehovet i et bygg kan man spare mye energi. -
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 ... -
Datakilder og medellering av trengsel på tog
(SINTEF Rapport;A25833, Research report, 2014) -
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 ... -
Dataset of plugging and abandonment status from exploration wells drilled within the Troll gas and oil field in the Norwegian North Sea
(Peer reviewed; Journal article, 2021)More than 750 wildcat wells have been drilled in the Norwegian North Sea since 1966. Some of these wells could pose a risk for the environment, climate, and future CO2 and hydrogen storage projects by being potential leakage ... -
Datasets for grey-box model identification from representative archetypes of apartment blocks in Norway
(SINTEF Proceedings;5, Chapter; Peer reviewed; Conference object, 2020)Grey-box models combine a relatively simple physical description of the building with a data-driven inference of key parameters and are often used for this purpose. A challenge with grey-box models is that the model ...