• Automated Detection of Electric Vehicles in Hourly Smart Meter Data 

      Hoffmann, Volker; Fesche, Bjørn Ingeberg; Ingebrigtsen, Karoline; Christie, Ingrid Nytun; Punnerud Engelstad, Morten (Journal article; Peer reviewed, 2019)
      Automated detection of EVs from smart meter data can provide important insights for DSOs about spatiotemporal EV charging patterns. However, smart meters typically provide only hourly measurements of consumption while most ...
    • Automated Multi-Skill Shift Design for Hospitals 

      Nilssen, Eivind Jodaa; Stølevik, Martin; Nordlander, Tomas; Johnsen, Erik Lien (Journal article; Peer reviewed, 2010)
      For labour intensive organizations, finding a good match between the predicted workload and the scheduled workforce work capacity is crucial: One important step in this matching process is shift design and it have received ...
    • Automatic Classification of Sub-Techniques in Classical Cross-Country Skiing Using a Machine Learning Algorithm on Micro-Sensor Data 

      Rindal, Ole Marius Hoel; Seeberg, Trine Margrethe; Tjønnås, Johannes; Haugnes, Pål; Sandbakk, Øyvind (Journal article; Peer reviewed, 2018)
      The automatic classification of sub-techniques in classical cross-country skiing provides unique possibilities for analyzing the biomechanical aspects of outdoor skiing. This is currently possible due to the miniaturization ...
    • Automatic GNSS RFI Classification Challenges 

      Diez, Anja; Morrison, Aiden J; Sokolova, Nadezda (Journal article, 2022)
      This article describes the real-world challenges that are encountered when trying to automatically categorize and classify the radio frequency interference (RFI) events captured in the GNSS signal bands by an international ...
    • Automatic Intraoperative Correction of Brain Shift for Accurate Neuronavigation 

      Iversen, Daniel Høyer; Wein, Wolfgang; Lindseth, Frank; Unsgård, Geirmund; Reinertsen, Ingerid (Journal article; Peer reviewed, 2018)
      Background Unreliable neuronavigation owing to inaccurate patient-to-image registration and brain shift is a major problem in conventional magnetic resonance imaging–guided neurosurgery. We performed a prospective ...
    • Automatic length estimation of free-swimming fish using an underwater 3D range-gated camera 

      Risholm, Petter; Mohammed, Ahmed Kedir; Kirkhus, Trine; Clausen, Sigmund; Vasilyev, Leonid; Folkedal, Ole; Johnsen, Øistein; Haugholt, Karl Henrik; Thielemann, Jens T (Peer reviewed; Journal article, 2022)
      Camera estimation of fish size in aquaculture production and fisheries is crucial for enabling knowledge-based decision making. Automatic estimation of fish lengths on an individual and population basis are key steps to ...
    • Automatic Myocardial Strain Imaging in Echocardiography Using Deep Learning 

      Østvik, Andreas; Smistad, Erik; Espeland, Torvald; Berg, Erik Andreas Rye; Løvstakken, Lasse (Journal article; Peer reviewed, 2018)
      Recent studies in the field of deep learning suggest that motion estimation can be treated as a learnable problem. In this paper we propose a pipeline for functional imaging in echocardiography consisting of four central ...
    • Automating Security in a Continuous Integration Pipeline 

      Chalishhafshejani, Sohrab; Pham, Bao Khanh; Jaatun, Martin Gilje (Chapter, 2022)
      Traditional approaches to software security are based on manual methods, which tend to stall development, leading to inefficiency. To speed up a software development lifecycle, security needs to be integrated and automated ...
    • Automation and autonomous systems: Human-centred design in drilling and wells 

      Johnsen, Stig Ole; Holen, Siri Mariane; Aalberg, Asbjørn Lein; Bjørkevoll, Knut Steinar; Evjemo, Tor Erik; Johansen, Gorm Idar; Myklebust, Thor; Okstad, Eivind Halvard; Pavlov, Alexey; Porathe, Thomas (SINTEF Rapport;2020:01442, Research report, 2021)
      This report is based on an assignment commissioned by the Petroleum Safety Authority Norway (PSA) with the theme of human-centred design and human-machine interfaces in the development and implementation of autonomous ...
    • Automation in Human-Machine Networks: How Increasing Machine Agency Affects Human Agency 

      Følstad, Asbjørn; Engen, Vegard; Haugstveit, Ida Maria; Pickering, J. Brian (Chapter, 2017)
      Efficient human-machine networks require productive interaction between human and machine actors. In this study, we address how a strengthening of machine agency, for example through increasing Levels of automation, affect ...
    • Automatisering og føreropplæring 

      Jenssen, Gunnar; Roche-Cerasi, Isabelle; Moe, Dagfinn; Stene, Trine Marie; Moen, Terje (SINTEF;2023:00163, Research report, 2023)
      De siste årene har hatt en rask utvikling av førerstøtteapplikasjoner (ADAS) for moderne kjøretøy. Hensikten med mange av applikasjonene er at kjøretøyet varsler, støtter eller tar over kontrollen av kjøretøyet. Dette er ...
    • Automotive Intelligence Embedded in Electric Connected Autonomous and Shared Vehicles Technology for Sustainable Green Mobility 

      Vermesan, Ovidiu; John, Reiner; Pype, Patrick; Daalderop, Gerardo; Kriegel, Kai; Mitic, Gerhard; Lorentz, Vincent; Bahr, Roy; Sand, Hans-Erik; Bockrath, Steffen; Waldhör, Stefan (Peer reviewed; Journal article, 2021)
      The automotive sector digitalization accelerates the technology convergence of perception, computing processing, connectivity, propulsion, and data fusion for electric connected autonomous and shared (ECAS) vehicles. This ...
    • Autonomous agile teams: challenges and future directions for research 

      Stray, Viktoria; Moe, Nils Brede; Hoda, Rashina (Chapter; Peer reviewed, 2018)
      According to the principles articulated in the agile manifesto, motivated and empowered software developers---relying on technical excellence and simple designs---create business value by delivering working software to ...
    • Autonomous Crop Row Guidance Using Adaptive Multi-ROI in Strawberry Fields 

      Ponnambalam, Vignesh Raja; Bakken, Marianne; Moore, Richard; Omholt Gjevestad, Jon Glenn; From, Pål Johan (Peer reviewed; Journal article, 2020)
      Automated robotic platforms are an important part of precision agriculture solutions for sustainable food production. Agri-robots require robust and accurate guidance systems in order to navigate between crops and to and ...
    • An autonomous drone-based system for inspection of electrical substations 

      Langåker, Helge-André; Kjerkreit, Håkon; Syversen, Christoffer L; Moore, Richard J.D.; Holhjem, Øystein Hov; Jensen, Irene; Morrison, Aiden J; Transeth, Aksel Andreas; Kvien, Oddgeir; Berg, Gunnar; Olsen, Thomas; Hatlestad, Alexander; Negård, Thomas; Broch, Rolf; Johnsen, Jørn E (Peer reviewed; Journal article, 2021)
      In the years to come, large power grid operators will operate and maintain an ever-increasing asset base. New innovative solutions are needed to increase the quality and efficiency of asset management to avoid corresponding ...
    • Autonomous subsea intervention (SEAVENTION) 

      Transeth, Aksel Andreas; Schjølberg, Ingrid; Lekkas, Anastasios; Risholm, Petter; Mohammed, Ahmed Kedir; Skaldebø, Martin Breivik; Haugaløkken, Bent Oddvar Arnesen; Bjerkeng, Magnus Christian; Tsiourva, Maria Efstathia; Py, Frédéric (Journal article; Peer reviewed, 2022)
      This paper presents the main results and latest developments in a 4-year project called autonomous subsea intervention (SEAVENTION). In the project we have developed new methods for autonomous inspection, maintenance and ...
    • Autonomous UAS-Based Agriculture Applications: General Overview and Relevant European Case Studies 

      Merz, Mariann; Pedro, Dário; Skliros, Vasileios; Bergenhem, Carl; Himanka, Mikko; Houge, Torbjørn; Lundkvist, Henrik; Matos-Carvalho, João P.; Cürüklü, Baran; Hamrén, Rasmus; Ameri, Afshin E.; Ahlberg, Carl; Johansen, Gorm Idar (Peer reviewed; Journal article, 2022)
      Emerging precision agriculture techniques rely on the frequent collection of high-quality data which can be acquired efficiently by unmanned aerial systems (UAS). The main obstacle for wider adoption of this technology is ...
    • AUV Pipeline Following using Reinforcement Learning 

      Fjerdingen, Sigurd Aksnes; Kyrkjebø, Erik; Transeth, Aksel Andreas (Chapter, 2010)
    • Avstandsoppfølging av personer med kroniske sykdommer. Tjenesteutvikling i nasjonalt pilotprosjekt. 

      Das, Anita; Reitan, Jarl; Holbø, Kristine; Boysen, Elin Sundby; Ausen, Dag (SINTEF Rapport;, Research report, 2018)
      Denne rapporten tar for seg arbeidet som er gjort i forbindelse med tjenesteutviklingen når det gjelder avstandsoppfølging av kronisk syke. De fire prosjektene som er blitt fulgt i dette prosjektet er henholdsvis «HelsaMi+» ...
    • 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 ...