• Edge AI LoRa Mesh Technologies 

      Vermesan, Ovidiu; vorm Walde, Kai; Bahr, Roy; Conrady, Cordula; Judvaitis, Janis; Gaigals, Gatis; Karlsen, Tore; Coppola, Marcello; Sand, Hans-Erik (River Publishers Series in Communications;, Chapter, 2023)
      Intelligent connectivity at the edge combines wireless communication, edge artificial intelligence (AI), edge computing and internet of things (IoT) technologies to perform machine learning (ML) and deep learning (DL) on ...
    • An edge-driven multi-agent optimization model for infectious disease detection 

      Djenouri, Youcef; Srivastava, Gautam; Yazidi, Anis; Lin, Jerry Chun-Wei (Peer reviewed; Journal article, 2022)
      This research work introduces a new intelligent framework for infectious disease detection by exploring various emerging and intelligent paradigms. We propose new deep learning architectures such as entity embedding networks, ...
    • Effect of the native oxide on the Surface Passivation of Si by Al2O3 

      Getz, Michael; Povoli, Marco; Monakhov, Eduard (Peer reviewed; Journal article, 2021)
      The effect of the native silicon oxide layer on the passivation properties of Al2O3 on p-type Si surfaces has been investigated. This was done by comparing effective carrier lifetime, surface saturation current density, ...
    • Effect of turbulence intensity on the performance of an offshore vertical axis wind turbine 

      Siddiqui, Muhammad Salman; Rasheed, Adil; Kvamsdal, Trond; Tabib, Mandar (Journal article; Peer reviewed, 2015)
      Offshore wind energy is one of the most competitive renewable energy resources available to us, which until now been under- exploited. Most of the problems associated with wind farm installation like land acquisition, low ...
    • Effect of working position and cold environment on muscle activation level and fatigue in the upper limb during manual work tasks 

      Renberg, Julie; Wiggen, Øystein; Tvetene, Per Øyvind Stranna; Færevik, Hilde; Van Beekvelt, Mireille; Roeleveld, Karin (Peer reviewed; Journal article, 2020)
      Several occupational groups are exposed to periods of low ambient temperatures while performing manual work tasks outdoors. Work tasks typically include heavy lifting, tool handling, and overhead work. This study eval ...
    • The effects of business analytics capability on circular economy implementation, resource orchestration capability, and firm performance 

      Kristoffersen, Eivind; Mikalef, Patrick; Blomsma, Fenna; Li, Jingyue (Peer reviewed; Journal article, 2021)
      Today, most organizations are undergoing a digital transformation. At the same time, the gravity of environmental issues has put sustainability and the circular economy at the top of corporate agendas. To this end, information ...
    • Effects of Channel Estimation Errors in OFDM-MIMO-based Underwater Communications 

      Håkegård, Jan Erik; Grythe, Knut Harald (Chapter, 2009)
      State-of-the-art radio communication systems are in a large extent based on multi-carrier communication (OFDM) and multiple antennas (MIMO). In this paper the performance of such systems adapted to an underwater acoustic ...
    • Effects of GP characteristics on unplanned hospital admissions and patient safety. A 9-year follow-up of all Norwegian out-of-hours contacts 

      Svedahl, Ellen Rabben; Pape, Kristine; Austad, Bjarne; Vie, Gunnhild Åberge; Anthun, Kjartan Sarheim; Carlsen, Fredrik; Bjørngaard, Johan Håkon (Peer reviewed; Journal article, 2021)
      Background: There are substantial differences in hospital referrals between general practitioners (GPs); however, there is little research on the consequences for patient safety and further healthcare use. Objective: ...
    • Effects of humanlikeness and conversational breakdown on trust in chatbots for customer service 

      Law, Effie L.-C.; Følstad, Asbjørn; van As, Nena (Chapter, 2022)
      Trust in chatbots can be shaped by various factors such as humanlikeness in terms of visual appearance and conversational content, and conversational performance in terms of the chatbot’s ability to avoid conversational ...
    • Effects of prior experience, gender, and age on trust in a banking chatbot with(out) breakdown and repair 

      Law, Effie Lai-Chong; van As, Nena; Følstad, Asbjørn (Chapter, 2023)
      Trust is an attitudinal construct that can be sensitive to prior experience, gender, and age. In our study, we explored how trust in a banking chatbot might be shaped by these user characteristics. Statistical analysis of ...
    • Effekt av brukermedvirkning i institusjoner for barn og unge. Systematisk litteratursøk med sortering 

      Kurtze, Nanna; Meneses Echavez, Jose Francisco; Nguyen, Hong Lien (Research report, 2016)
      Seksjon for velferdstjenester ved Kunnskapssenteret fikk i september 2015 i oppdrag av Barne‐, ungdoms‐ og familiedirektoratet å identifisere forskning om effekt av bru‐ kermedvirkning i institusjoner for barn og unge ...
    • Effekt av trygghetspakker : Erfaringer fra velferdsteknologiprosjekter i Lister regionen 

      Røhne, Mette; Svagård, Ingrid Storruste; Holmesland, Marianne (SINTEF Rapport;, Research report, 2016)
      Lister-kommunene, Farsund, Flekkefjord, Hægebostad, Kvinesdal, Lyngdal og Sirdal, har pilotert ulike trygghetsteknologier som en del av oppdraget i Nasjonalt velferdsteknologi- program. I Lister er bruk av velferdsteknologi ...
    • Effekter av teknologiske endringer på norsk nærings- og arbeidsliv 

      Carlin, Mats Stefan; Skjellaug, Bjørn; Nygaard, Stian; Vermesan, Ovidiu; Svagård, Ingrid Storruste; Andreassen, Tor W.; Knutstad, Gaute Andreas Johansen; Gran, Inge Røinaas; Andresen, Inger; Røhne, Mette; Ausen, Dag; Boysen, Elin Sundby (, Research report, 2015)
      Denne rapporten gir en bred tilnærming til hvordan teknologiske endringer/ nyvinninger bidrar til å endre digitale og fysiske produksjonsprosesser for varer og tjenester, samt en analyse av hvordan dette påvirker norsk ...
    • Efficiency of CO2 Foam Mobility Control with Heterogeneous Reservoir Properties 

      Grimstad, Alv-Arne; Klemetsdal, Øystein Strengehagen (SINTEF Proceedings;7, Chapter; Peer reviewed; Conference object, 2021)
      We investigate how reservoir heterogeneity affects the efficiency of CO2 mobility control in saline aquifer storage. An ensemble of reservoir models is set up for simulation of CO2 injection with a quarter-five-spot well ...
    • Efficient adjoint-based well-placement optimization using flow diagnostics proxies 

      Krogstad, Stein; Nilsen, Halvor Møll (Peer reviewed; Journal article, 2021)
      Model-based optimization of placement and trajectories of wells in petroleum reservoirs by the means of reservoir simulation forecasts is computationally demanding due to the high number of simulations typically required ...
    • Efficient Chain Structure for High-Utility Sequential Pattern Mining 

      Lin, Jerry Chun-Wei; Li, Yuanfa; Fournier-Viger, Philippe; Djenouri, Youcef; Zhang, Ji (Peer reviewed; Journal article, 2020)
      High-utility sequential pattern mining (HUSPM) is an emerging topic in data mining, which considers both utility and sequence factors to derive the set of high-utility sequential patterns (HUSPs) from the quantitative ...
    • Efficient Encoding of the Weighted MAX k-CUT on a Quantum Computer Using QAOA 

      Fuchs, Franz Georg; Kolden, Herman Øie; Aase, Niels Henrik; Sartor, Giorgio (Peer reviewed; Journal article, 2021)
      The weighted MAX k-CUT problem consists of finding a k-partition of a given weighted undirected graph G(V, E), such that the sum of the weights of the crossing edges is maximized. The problem is of particular interest as ...
    • Efficient flow diagnostics proxies for polymer flooding 

      Krogstad, Stein; Lie, Knut-Andreas; Nilsen, Halvor Møll; Berg, Carl Fredrik; Kippe, Vegard (Journal article; Peer reviewed, 2017)
      Flow diagnostics refers to a family of numerical methods that within a few seconds can compute visually intuitive quantities illuminating flow patterns and well connections for full 3D reservoir models. The starting point ...
    • Efficient Local Search on the GPU. Investigations on the Vehicle Routing Problem 

      Schulz, Christian Ferdinand (Research report, 2011)
      We investigate the performance increase potential of GPU implementations of local search. In particular, we report on how we managed to incrementally improve the implementation of a local search algorithm to a given GPU ...
    • Efficient reordered nonlinear Gauss–Seidel solvers with higher order for black-oil models 

      Klemetsdal, Øystein Strengehagen; Rasmussen, Atgeirr Flø; Møyner, Olav; Lie, Knut-Andreas (Peer reviewed; Journal article, 2019)
      The fully implicit method is the most commonly used approach to solve black-oil problems in reservoir simulation. The method requires repeated linearization of large nonlinear systems and produces ill-conditioned linear ...