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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 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 ... -
Defining a Remote Work Policy: Aligning Actions and Intentions
(Chapter, 2023)After the long period of forced work from home, many knowledge workers have not only developed a strong habit of remote work, but also consider flexibility as their personal right and no longer as a privilege. Existing ... -
Defining the initial case-base for a CBR operator support system in digital finishing A methodological knowledge acquisition approach
(Journal article; Peer reviewed, 2016)Case-based reasoning (CBR) literature defines the process of defining a case-base as a hard and time-demanding task though the same literature does not report in detail on how to build your initial case base. The main ... -
Definitions and Approaches to Model Quality in Model-Based Software Development – A Review of Literature
(Journal article; Peer reviewed, 2009)More attention is paid to the quality of models along with the growing importance of modelling in software development. We performed a systematic review of studies discussing model quality published since 2000 to identify ... -
Delicar: A smart deep learning based self driving product delivery car in perspective of Bangladesh
(Peer reviewed; Journal article, 2022)The rapid expansion of a country’s economy is highly dependent on timely product distribution, which is hampered by terrible traffic congestion. Additional staff are also required to follow the delivery vehicle while it ... -
Deliverance from Trust through a Redundant Array of Independent Net-storages in Cloud Computing
(Chapter, 2011)Cloud storage services are gaining more and more attention. Surveys suggest that the confidentiality issue is one of the major obstacles for users to use cloud storage services to keep sensitive data. This paper proposes ... -
Delt situasjonsforståelse under søk og redning i nordområdene
(SINTEF Rapport;, Research report, 2016)Prosjektets mål er å bidra til økt kunnskap om hvordan etablere delt situasjonsforståelse mellom sentrale aktører innen SAR i Nordområdet. Prosjektgruppa har arbeidet ut ifra en menneske-teknologi-organisasjon (MTO) ... -
Demensomsorg i Trøndelag
(SINTEF Rapport;2022:00538, Research report, 2022)Vi har kartlagt hvordan yngre personer med demenssykdom ivaretas i kommunene i Trøndelag, hvilken kompetanse og kapasitet de møter og hvordan kommunene arbeider. Data er samlet inn via et spørreskjema hvor 34 av 38 ... -
Demografikostnader og endringer i helsetilstand - Delrapport 1 Kartlegging av forutsetninger for ulike framskrivinger av helseutgifter og litteraturgjennomgang
(SINTEF AS (ISBN starter med 978-82-14-);, Research report, 2023)Formålet med denne rapporten er todelt: 1) beskrive hvordan forutsetninger om sammenhengen mellom levealder og helsetilstand er innarbeidet i framskrivinger av helse- og omsorgsutgifter i Norge og i andre sammenlignbare ... -
Demonstrating the impact of bidirectional coupling on the performance of an ocean-met model
(Journal article; Peer reviewed, 2017)The mass, momentum and energy fluxes between the atmosphere and ocean surface depend on the state of the ocean surface. The fluxes in turn can significantly alter the nature of the marine boundary layer and the state of ... -
Dependency Management in Large-Scale Agile: A Case Study of DevOps Teams
(Proceedings of the Annual Hawaii International Conference on System Sciences (HICSS);, Chapter; Peer reviewed, 2019)Managing dependencies between teams and within teams is critical when running large-scale agile projects. In large-scale software development, work is carried out simultaneously by many developers and development teams. ...