Now showing items 361-380 of 2523

    • Immigrants’ Experiences of Volunteering; A Meta-Ethnography 

      Sveen, Silje; Anthun, Kirsti Sarheim; Batt-Rawden, Kari Bjerke; Tingvold, Laila (Peer reviewed; Journal article, 2022)
      Among policy makers and governments in the Global North, the voluntary sector is considered a central arena for immigrant integration. The aim of this interpretive synthesis was to systematically review research to understand ...
    • Lesbian and gay individuals' path into foster parenting in Norway—Barriers and facilitators at the person and system levels 

      Ådnanes, Marian; Thaulow, Kristin; Paulsen, Veronika; Kaasbøll, Jannike (Peer reviewed; Journal article, 2023)
      Growing numbers of lesbian, gay, bisexual, transgender, questioning (LGBTQ) people are becoming foster parents in several western countries. The LGBTQ perspective on the child welfare system has received little attention ...
    • Towards Cognitive Self-Management of IoT-Edge-Cloud Continuum based on User Intents 

      Song, Hui; Soylu, Ahmet; Roman, Dumitru (Chapter, 2022)
      Elasticity of the computing continuum with on demand availability allows for automated provisioning and release of computing resources as needed; however, this self management capability is severely limited due to the lack ...
    • Family involvement in child welfare services: The association between socio-economic status and self-reported parenting practices 

      Fævelen, Malin; Fauske, Halvor; Kojan, Bente Heggem; Kaasbøll, Jannike (Peer reviewed; Journal article, 2022)
      In child welfare policies, as in contemporary society in general, great attention has been given to parenting roles and investing in ‘positive’ parenting practices. Several studies have suggested that socio-economic factors ...
    • “My Heart Jumped. Do I Have Cancer?”—Results of a Co-design Study with Cervical Cancer Screening Participants 

      Klonteig, Sandra; Li, Jiaxin; Halvorsrud, Ragnhild (Chapter, 2023)
      Cervical cancer can be prevented by routinely taking cell samples from the cervix (screening). The frequency of screening is a crucial factor, and there is great potential to utilize the registry data from the cervical ...
    • Exploiting Cooperative Downlink NOMA in D2D Communications 

      Rauniyar, Ashish; Østerbø, Olav; Håkegård, Jan Erik; Engelstad, Paal E. (Peer reviewed; Journal article, 2023)
      We propose and investigate a bidirectional device-to-device (D2D) transmission scheme that exploits cooperative downlink non-orthogonal multiple access (NOMA) (termed as BCD-NOMA). In BCD-NOMA, two source nodes communicate ...
    • TranSQL: A Transformer-based Model for Classifying SQL Queries 

      Tahmasebi, Shirin; Hossein Payberah, Amir; Soylu, Ahmet; Roman, Dumitru; Matskin, Mihhail (Chapter, 2022)
      Domain-Specific Languages (DSL) are becoming popular in various fields as they enable domain experts to focus on domain-specific concepts rather than software-specific ones. Many domain experts usually reuse their ...
    • Smart Data Placement for Big Data Pipelines: An Approach based on the Storage-as-a-Service Model 

      Khan, Akif Quddus; Nikolov, Nikolay Vladimirov; Matskin, Mihhail; Prodan, Radu; Song, Hui; Roman, Dumitru; Soylu, Ahmet (Chapter, 2022)
      The development of big data pipelines is a challenging task, especially when data storage is considered as part of the data pipelines. Local storage is expensive, hard to maintain, comes with several challenges (e.g., data ...
    • Økonomiske konsekvenser av innføring av responstidskrav i ambulansetjenesten – tilleggsanalyse 

      Goday Verdaguer, Aina; Rømo, Frode; Anthun, Kjartan Sarheim; Kalseth, Jorid (Research report, 2022)
      Dette arbeidsnotatet oppsummerer tilleggsanalyser som er gjort for å gjøre alternative vurderinger av økonomiske konsekvensene ved å forskriftsfeste responstidskrav for akutte hendelser knyttet til bilbasert ambulansetjeneste ...
    • A supervised learning approach for optimal selection of bidding strategies in reservoir hydro 

      Riddervold, Hans Ole; Riemer-Sørensen, Signe; Szederjesi, Peter; Korpås, Magnus (Peer reviewed; Journal article, 2020)
      Power producers use a wide range of decision support systems to manage and plan for sales in the day-ahead electricity market. The available tools have advantages and disadvantages and the operators are often faced with ...
    • Achieving "Good Enough" Software Security: The Role of Objectivity 

      Tøndel, Inger Anne; Cruzes, Daniela Soares; Jaatun, Martin Gilje (Chapter, 2020)
      Today's software development projects need to consider security as one of the qualities the software should possess. However, overspending on security will imply that the software will become more expensive and often also ...
    • Taming an autonomous surface vehicle for path following and collision avoidance using deep reinforcement learning 

      Meyer, Eivind; Robinson, Haakon; Rasheed, Adil; San, Omer (Peer reviewed; Journal article, 2020)
      In this article, we explore the feasibility of applying proximal policy optimization, a state-of-the-art deep reinforcement learning algorithm for continuous control tasks, on the dual-objective problem of controlling an ...
    • The Ransomware-as-a-Service economy within the darknet 

      Meland, Per Håkon; Bayoumy, Yara; Sindre, Guttorm (Peer reviewed; Journal article, 2020)
      Ransomware is an epidemic that adversely affects the lives of both individuals and large companies, where criminals demand payments to release infected digital assets. In the wake of the ransomware success, Ransomware-as-a-Service ...
    • Cluster-based information retrieval using pattern mining 

      Djenouri, Youcef; Belhadi, Asma; Djenouri, Djamel; Lin, Jerry Chun-Wei (Peer reviewed; Journal article, 2020)
      This paper addresses the problem of responding to user queries by fetching the most relevant object from a clustered set of objects. It addresses the common drawbacks of cluster-based approaches and targets fast, high-quality ...
    • Reverse engineering of CAD models via clustering and approximate implicitization 

      Raffo, Andrea; Barrowclough, Oliver Joseph David; Muntingh, Agnar Georg Peder (Peer reviewed; Journal article, 2020)
      In applications like computer aided design, geometric models are often represented numerically as polynomial splines or NURBS, even when they originate from primitive geometry. For purposes such as redesign and isogeometric ...
    • Key Performance Indicators in design for sustainable rural transport 

      Karahasanovic, Amela; Culén, Alma Leora; Skjetne, Jan Håvard; Hasle, Geir (Peer reviewed; Journal article, 2020)
      Rural areas are less attractive and sustainable for people and businesses alike, partially due to inadequate transport services. In this paper, we address transport-related challenges in rural Norway. The focal aspect of ...
    • Influence of sampling accuracy on augmented reality for laparoscopic image-guided surgery 

      Teatini, Andrea; Perez de Frutos, Javier; Eigl, Benjamin; Aghayan, Davit; Pelanis, Egidijus; Lai, Marco; Kumar, Rahul Prasanna; Palomar, Rafael; Edwin, Bjørn; Elle, Ole Jacob (Peer reviewed; Journal article, 2020)
      Purpose: This study aims to evaluate the accuracy of point-based registration (PBR) when used for augmented reality (AR) in laparoscopic liver resection surgery. Material and methods: The study was conducted in three ...
    • Safety and security of drones in the oil and gas industry 

      Johnsen, Stig Ole; Bakken, Trond; Transeth, Aksel Andreas; Holmstrøm, Sture; Merz, Mariann; Grøtli, Esten Ingar; Jacobsen, Sigurd Robert; Storvold, Rune (Chapter, 2020)
      This paper describes safety and security challenges and best practices of the use of drones in the oil and gas industry, with consideration of the harsh weather conditions in the Northern Territories of Norway. We have ...
    • Breaking the Cyber Kill Chain by Modelling Resource Costs 

      Haga, Kristian; Meland, Per Håkon; Sindre, Guttorm (Chapter, 2020)
      To combat cybercrime, a clearer understanding of the attacks and the offenders is necessary. When there is little available data about attack incidents, which is usually the case for new technology, one can make estimations ...
    • Internet of Robotic Things Intelligent Connectivity and Platforms 

      Vermesan, Ovidiu; Bahr, Roy; Ottella, Marco; Serrano, Martin; Karlsen, Tore; Wahlstrøm, Terje; Sand, Hans-Erik; Ashwathnarayan, Meghashyam; Troglia Gamba, Micaela (Peer reviewed; Journal article, 2020)
      The Internet of Things (IoT) and Industrial IoT (IIoT) have developed rapidly in the past few years, as both the Internet and “things” have evolved significantly. “Things” now range from simple Radio Frequency Identification ...