Blar i SINTEF på tittel

Viser treff 5437-5456 av 10111

    • Machine learning based assessment of preclinical health questionnaires 

      Avram, Calin; Gligor, Adrian; Roman, Dumitru; Soylu, Ahmet; Nyulas, Victoria; Avram, Laura (Peer reviewed; Journal article, 2023)
      Background: Within modern health systems, the possibility of accessing a large amount and a variety of data related to patients' health has increased significantly over the years. The source of this data could be mobile ...

    • Machine Learning based Data Handling Framework for Ship Energy Efficiency 

      Perera, Lokukaluge Prasad; Mo, Brage (Journal article; Peer reviewed, 2017-10-10)
      Appropriate navigation strategies should be developed to overcome the current shipping industrial challenges under emission-control-based energy efficiency measures. Effective navigation strategies should be based on ...

    • Machine learning based investigation of influence of weather on transport mobility. 

      Tabib, Mandar; Rasheed, Adil (SINTEF Rapport, Research report, 2017)
      Current work involves data-driven analysis of travel mobility. For this purpose, traffic counts of cars and bikes at various traffic routes along With the associated weather have been collected in Oslo, Norway. Amongst the ...

    • Machine Learning for Fatigue Detection using Fitbit Fitness Trackers 

      Husom, Erik Johannes; Dautov, Rustem; Nedisan Videsjorden, Adela; Gonidis, Fotis; Papatzelos, Spyridon; Malamas, Nikolaos (Chapter, 2022)
      Fatigue can be a pre-cursor to many illnesses and injuries, and cause fatal work-related incidents. Fatigue detection has been traditionally performed in lab conditions with stationary medical-grade diagnostics equipment ...

    • Machine Learning for Hydropower Scheduling: State of the Art and Future Research Directions 

      Bordin, Chiara; Skjelbred, Hans Ivar; Kong, Jiehong; Yang, Zhirong (Peer reviewed; Journal article, 2020)
      This paper investigates and discusses the current and future role of machine learning (ML) within the hydropower sector. An overview of the main applications of ML in the field of hydropower operations is presented to show ...

    • Machine Learning for Identifying Group Trajectory Outliers 

      Belhadi, Asma; Djenouri, Youcef; Djenouri, Djamel; Michalak, Tomasz; Lin, Jerry Chun-Wei (Peer reviewed; Journal article, 2021)
      Prior works on the trajectory outlier detection problem solely consider individual outliers. However, in real-world scenarios, trajectory outliers can often appear in groups, e.g., a group of bikes that deviates to the ...

    • Machine learning-based estimation of buildings' characteristics employing electrical and chilled water consumption data: Pipeline optimization 

      Raymand, Farhang; Najafi, Behzad; Mamaghani, Alireza Haghighat; Moazami, Amin Nitter; Rinaldi, Fabio (Peer reviewed; Journal article, 2023)
      Smart meter-driven remote auditing of buildings, as an alternative to the labor-intensive on-site visits, permits large-scale and rapid identification of buildings with low energy performance. The existing literature has ...

    • A machine vision system for tracking population behavior of zooplankton in small scale experiments: a case study on salmon lice (Lepeophtheirus salmonis Krøyer, 1838) copepodite population responses to different light stimuli 

      Kvæstad, Bjarne; Nordtug, Trond; Hagemann, Andreas (Journal article; Peer reviewed, 2020-06-25)
      To achieve efficient and preventive measures against salmon lice (Lepeophtheirus salmonis Krøyer, 1838) infestation, a better understanding of behavioral patterns of the planktonic life stages is key. To investigate light ...

    • Machine-Learning-Based Prediction of HVAC-Driven Load Flexibility in Warehouses 

      Javan, Farzad Dadras; Avendano, Italo Aldo Campodonico; Najafi, Behzad; Moazami, Amin Nitter; Rinaldi, Fabio (Peer reviewed; Journal article, 2023)
      This paper introduces a methodology for predicting a warehouse’s reduced load while offering flexibility. Physics-based energy simulations are first performed to model flexibility events, which involve adjusting cooling ...

    • Macroalgae for Higher Value Products and Liquid Fuels 

      Sandquist, Judit; Skjermo, Jorunn; McDillan, James D. (Chapter, 2017)

    • MacroBiomass En kompetansebase for industriell taredyrking 

      Forbord, Silje; Handå, Aleksander; Broch, Ole Jacob; Arff, Johanne; Dahle, Stine Veronica Wiborg; Fredriksen, Stein; Reitan, Kjell Inge; Steinhovden, Kristine; Størseth, Trond Røvik; Tangen, Karl; Lüning, Klaus (SINTEF Fiskeri og havbruk rapporter;A24186, Research report, 2013-01-31)
      MacroBiomass Prosjektet MacroBiomass har hatt som mål å bygge en kompetansebase med fokus på biologiske utfordringer i storskala dyrking av makroalger (tare) til bioenergi. Prosjektet har jobbet med hele produksjonssyklusen ...

    • Macroinvertebrate Recovery to Varying Hydropeaking Frequency: A Small Hydropower Plant Experiment 

      Aksamit, Claire; Carolli, Mauro; Vanzo, Davide; Weber, Christine; Schmid, Martin (Peer reviewed; Journal article, 2021)

    • MACROSEA WP5 - D5.2 Proof of concept on seeding systems 

      Alver, Morten; Solvang, Torfinn (SINTEF Ocean rapporter;2018:00785 A, Research report, 2018-09-24)
      This brief report documents the deliverable D5.2 Proof of concept on seeding systems from MACROSEA WP5. By seeding systems we mean the technology used to produce substrate with seedlings ready for deployment at sea. SINTEF ...

    • Magnesiothermic Reduction of Natural Quartz 

      Rasouli, Azam; Herstad, Karl Edvin; Safarian, Jafar; Tranell, Gabriella (Peer reviewed; Journal article, 2022)
      In the current work, the metallothermic reduction of natural quartz by magnesium has been studied at 1373 K under different reaction conditions, i.e. quartz type, quartz particle size, Mg:SiO2 mole ratio and reaction time. ...

    • Magnesiothermic Reduction of Silica: A Machine Learning Study 

      Tang, Kai; Rasouli, Azam; Safarian, Jafar; Ma, Xiang; Tranell, Maria Gabriella (Journal article; Peer reviewed, 2023)
      undamental studies have been carried out experimentally and theoretically on the magnesiothermic reduction of silica with different Mg/SiO2 molar ratios (1–4) in the temperature range of 1073 to 1373 K with different ...

    • Magnetic domain configuration of (111)-oriented LaFeO3 epitaxial thin films 

      Hallsteinsen, Ingrid; Moreau, Magnus; Chopdekar, R.V.; Christiansen, Emil; Nord, Magnus Kristofer; Vullum, Per Erik; Grepstad, Jostein; Holmestad, Randi; Selbach, Sverre Magnus; Scholl, A; Arenholz, E; Folven, Erik; Tybell, Per Thomas Martin (Peer reviewed; Journal article, 2017)
      In antiferromagnetic spintronics control of the domains and corresponding spin axis orientation is crucial for devices. Here we investigate the antiferromagnetic axis in (111)-oriented LaFeO3/SrTiO3, which is coupled to ...

    • Magnetic Field Energy Harvesting in Railway 

      Espe, Asbjørn Engmark; Haugan, Thomas Sagvold; Mathisen, Geir (Peer reviewed; Journal article, 2022)
      Magnetic field energy harvesting (MFEH) is a method by which a system can harness an ambient, alternating magnetic field in order to scavenge energy. Presented in this article is a novel application of the concept aimed ...

    • Magnetic-Responsive Carbon Nanotubes Composite Scaffolds for Chondrogenic Tissue Engineering 

      Saranya, Muthusamy; da Silva, Aldeliane M.; Karjalainen, Hanna; Klinkenberg, Geir; Schmid, Ruth Baumberger; McDonagh, Birgitte Hjelmeland; Molesworth, Peter Patrick; Sigfúsdóttir, Margrét S.; Wågbø, Ane Marit; Santos, Susana. G.; Couto, Cristiana; Karjalainen, Ville-Pauli; Gupta, Shuvashis Das; Järvinen, Topias; de Roy, Luisa; Seitz, Andreas. M.; Finnilä, Mikko; Saarakkala, Simo; Haaparanta, Anne Marie; Janssen, Lauriane; Lorite, Gabriela S. (Peer reviewed; Journal article, 2023)
      The demand for engineered scaffolds capable of delivering multiple cues to cells continues to grow as the interplay between cell fate with microenvironmental and external cues is revealed. Emphasis has been given to develop ...

    • Main drivers for deep retrofitting of shopping malls 

      Haase, Matthias; Woods, Ruth; Mellegård, Sofie Elisabet; Skeie, Kristian; Lollini, Roberto (CommONEnergy;, Research report, 2015)

    • Maintaining Information Flow Security under Refinement and Transformation 

      Seehusen, Fredrik; Stølen, Ketil (Research report, 2006)
      We address the problem of maintaining information flow security under refinement and transformation. To this end we define a schema for the specification of secure information flow properties and show that all security ...