SINTEF Digital: Nye registreringer

Viser treff 261-280 av 2523

    • Personaer for å styrke hjemmedialysepasientens rolle i innovasjonsprosessen 

      Boysen, Elin Sundby; Ausen, Dag; Nilsen, Etty Ragnhild (Peer reviewed; Journal article, 2022)
      Bakgrunn: Det er et mål at minst 30 prosent av dialysepasienter skal benytte hjemmedialyse. Tett oppfølging fra spesialisthelsetjenesten er vesentlig for å øke pasientenes trygghets- og mestringsfølelse i hjemmebehandlingen. ...

    • Hybrid RESNET and Regional Convolution Neural Network Framework for Accident Estimation in Smart Roads 

      Djenouri, Youcef; Srivastava, Gautam; Djenouri, Djamel; Belhadi, Asma; Lin, Jerry Chun-Wei (Peer reviewed; Journal article, 2022)
      Road safety is tackled and an intelligent deep learning framework is proposed in this work, which includes outlier detection, vehicle detection, and accident estimation. The road state is first collected, while an intelligent ...

    • Intelligent Graph Convolutional Neural Network for Road Crack Detection 

      Djenouri, Youcef; Belhadi, Asma; Houssein, Essam H.; Srivastava, Gautam; Lin, Jerry Chun-Wei (Peer reviewed; Journal article, 2022)
      This paper presents a novel intelligent system based on graph convolutional neural networks to study road crack detection in intelligent transportation systems. The visual features of the input images are first computed ...

    • AI-Based Edge Acquisition, Processing and Analytics for Industrial Food Production 

      Vermesan, Ovidiu; Bellmann, Ronnie Otto; Bahr, Roy; Martinsen, Jøran Edell; Kristoffersen, Anders; Hjertaker, Torgeir; Breiland, John; Andersen, Karl; Sand, Hans Erik; Lindberg, David (Chapter, 2022)
      This article presents a novel approach to the acquisition, processing, and analytics of industrial food production by employing state-of-the-art artificial intelligence (AI) at the edge. Intelligent Industrial Internet of ...

    • Industrial AI Technologies for Next-Generation Autonomous Operations with Sustainable Performance 

      Vermesan, Ovidiu; Pétrot, Frédéric; Coppola, Marcello; Schneider, Mathias; Höß, Alfred (Chapter, 2022)
      This book lays down the technological foundation for and introduces key artificial intelligence (AI) concepts and technologies for the digitising industry. While this chapter does not exhaustively cover all types of AI, ...

    • Axes of contestation in sustainability transitions 

      Madsen, Stine Hach Juul; Miörner, Johan; Hansen, Teis (Peer reviewed; Journal article, 2022)
      Research in sustainability transitions increasingly acknowledges that the structural characteristics of socio-technical systems differ. However, little attention has been paid to the specific transition dynamics that can ...

    • Understanding the user experience of customer service chatbots: An experimental study of chatbot interaction design 

      Fornell Haugeland, Isabel Kathleen; Følstad, Asbjørn; Taylor, Cameron; Bjørkli, Cato (Peer reviewed; Journal article, 2022)
      Understanding the user experience of chatbots for customer service is essential to realize the potential of this technology. Such chatbots are typically designed for efficient and effective interactions, accentuating ...

    • Ethical Considerations and Trustworthy Industrial AI Systems 

      Vermesan, Ovidiu; De Luca, Cristina; John, Reiner; Coppola, Marcello; Debaillie, Björn; Urlini, Giulio (Chapter, 2022)
      The ethics of AI in industrial environments is a new field within applied ethics, with notable dynamics but no well-established issues and no standard overviews. It poses many more challenges than similar consumer and ...

    • Value of green hydrogen when curtailed to provide grid balancing services 

      Zenith, Federico; Flote, Martin Nord; Santos-Mugica, Maider; Duncan, Corey Scott; Mariani, Valerio; Marcantonini, Claudio (Peer reviewed; Journal article, 2022)
      This paper evaluates the potential of grid services in France, Italy, Norway and Spain to provide an alternative income for electrolysers producing hydrogen from wind power. Grid services are simulated with each country's ...

    • Current Challenges of AI Standardisation in the Digitising Industry 

      Vermesan, Ovidiu; Coppola, Marcello; John, Reiner; De Luca, Cristina; Bahr, Roy; Urlini, Giulio (Chapter, 2022)
      The digital transformation of industrial sectors is highly dynamic, and standardisation plays an essential role in achieving the objectives set for this transformation. In this context, AI standardisation efforts and ...

    • Isogeometric analysis of acoustic scattering with perfectly matched layers (IGAPML) 

      Venås, Jon Vegard; Kvamsdal, Trond (Peer reviewed; Journal article, 2022)
      The perfectly matched layer (PML) formulation is a prominent way of handling radiation problems in unbounded domain and has gained interest due to its simple implementation in finite element codes. However, its simplicity ...

    • Toward a Cognitive-Inspired Hashtag Recommendation for Twitter Data Analysis 

      Djenouri, Youcef; Belhadi, Asma; Srivastava, Gautam; Lin, Jerry Chun-Wei (Peer reviewed; Journal article, 2022)
      This research investigates hashtag suggestions in a heterogeneous and huge social network, as well as a cognitive-based deep learning solution based on distributed knowledge graphs. Community detection is first performed ...

    • Embedded Edge Intelligent Processing for End-To-End Predictive Maintenance in Industrial Applications 

      Vermesan, Ovidiu; Coppola, Marcello (Chapter, 2022)
      This article advances innovative approaches to the design and implementation of an embedded intelligent system for predictive maintenance (PdM) in industrial applications. It is based on the integration of advanced artificial ...

    • Experimental Security Analysis of Connected Pacemakers 

      Bour, Guillaume; Moe, Marie Elisabeth Gaup; Borgaonkar, Ravishankar Bhaskarrao (Chapter, 2022)
      Medical devices and their connectivity capabilities are providing a variety of benefits to the healthcare domain, including remote monitoring, automated alerts, and improved patient outcomes. However, these medical devices ...

    • Intelligent Deep Fusion Network for Anomaly Identification in Maritime Transportation Systems 

      Djenouri, Youcef; Belhadi, Asma; Djenouri, Djamel; Srivastava, Gautam; Lin, Jerry Chun-Wei (Peer reviewed; Journal article, 2022)
      This paper introduces a novel deep learning architecture for identifying outliers in the context of intelligent transportation systems. The use of a convolutional neural network with decomposition is explored to find ...

    • Interrelation of Digitalization and Digital Transformation in a Maritime Company 

      Ulfsnes, Rasmus; Moe, Nils Brede; Hanssen, Geir Kjetil; Buan, Thor Aleksander (Chapter, 2022)
      Many organizations must undergo digitalization and digital transformation (DT) simultaneously; in itself, either is daunting. For 15 months, we followed the ongoing digitalization and DT activities at a maritime company ...

    • Health and care service utilisation and cost over the life-span: a descriptive analysis of population data 

      Kalseth, Jorid; Halvorsen, Thomas (Peer reviewed; Journal article, 2020)
      Background: Current demographic changes affect both the level and composition of health and care needs in the population. The aim of this study was to estimate utilisation and cost for a comprehensive range of health and ...

    • Multimesh finite elements with flexible mesh sizes 

      Johansson, August; Larson, Mats; Logg, Anders (Peer reviewed; Journal article, 2020)
      We analyze a new framework for expressing finite element methods on arbitrarily many intersecting meshes: multimesh finite element methods. The multimesh finite element method, first presented in Johansson et al. (2019), ...

    • Exploring Pattern Mining Algorithms for Hashtag Retrieval Problem 

      Djenouri, Youcef; Asma, Belhadi; Jerry, Chun-Wei Lin; Chongsheng, Zhang; Alberto, Cano (Peer reviewed; Journal article, 2020)
      Hashtag is an iconic feature to retrieve the hot topics of discussion on Twitter or other social networks. This paper incorporates the pattern mining approaches to improve the accuracy of retrieving the relevant information ...

    • A Data-Driven Approach for Twitter Hashtag Recommendation 

      Djenouri, Youcef; Asma, Belhadi; Chun-Wei Lin, Jerry; Alberto, Cano (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. ...