Viser treff 299-318 av 4753

    • Automatic thumbnail selection for soccer videos using machine learning 

      Husa, Andreas; Midoglu, Cise; Hammou, Malek; Hicks, Steven; Johansen, Dag; Kupka, Tomas; Riegler, Michael; Halvorsen, Pål (Chapter; Bokkapittel, 2022-08-05)
      Thumbnail selection is a very important aspect of online sport video presentation, as thumbnails capture the essence of important events, engage viewers, and make video clips attractive to watch. Traditional solutions in the soccer domain for presenting highlight clips of important events such as goals, substitutions, and cards rely on the manual or static selection of thumbnails. However, such ...
    • An Automatic U-distribution and Markov Random Field Segmentation Algorithm for PolSAR Images 

      Doulgeris, Anthony Paul (Journal article; Tidsskriftartikkel; Peer reviewed, 2015)
    • Automatic Unsupervised Clustering of Videos of the Intracytoplasmic Sperm Injection (ICSI) Procedure 

      Storås, Andrea; Riegler, Michael Alexander; Haugen, Trine B.; Thambawita, Vajira L B; Hicks, Steven Alexander; Hammer, Hugo Lewi; Kakulavarapu, Radhika; Halvorsen, Pål; Stensen, Mette Haug (Chapter; Bokkapittel, 2023-02-02)
      The in vitro fertilization procedure called intracytoplasmic sperm injection can be used to help fertilize an egg by injecting a single sperm cell directly into the cytoplasm of the egg. In order to evaluate, refine and improve the method in the fertility clinic, the procedure is usually observed at the clinic. Alternatively, a video of the procedure can be examined and labeled in a time-consuming ...
    • Automatic validation of Sentinel-1 borne snow avalanche detections 

      Pedersen, Jarle Langseth (Master thesis; Mastergradsoppgave, 2020-05-30)
      Snow avalanches threaten human lives, settlements and roads in snow covered mountainous areas. For avalanche forecasting, knowledge of the spatio-temporal occurrence of avalanche activity is critical. Automatic avalanche detection algorithms have been developed to enable consistent avalanche activity monitoring for large regions. The Satskred avalanche detection algorithm developed by NORCE applies ...
    • Automatisk rettet eksamen i generell kjemi 

      Beerepoot, Maarten; Kosonen, Juho A. (Conference object; Konferansebidrag, 2023-03)
      En god avsluttende eksamen vurderer i hvilken grad intendert læringsutbytte har blitt oppnådd på en nøye, objektiv og reproduserbar måte. Det er imidlertid lite tilfredsstillende hvis en faglærer bruker mye tid på vurdering avlæring framfor vurdering forlæring underveis i semesteret. Derfor kan det være attraktivtå utforske muligheter med en digital automatisk rettet ...
    • AutoMon. Automatic monitoring and problem detection for distributed systems 

      Wikstad, Magnus (Master thesis; Mastergradsoppgave, 2016-05-15)
      When working with distributed systems, detecting faults can be a difficult task, as abnormalities isn't necessarily immediately evident by warnings or system crashes. This is especially true with subtle faults, such as variations in performance of a running program, it is not necessarily its own fault, but could rather be from a different source, somewhere in the cluster, using a lot of resources ...
    • Autonomous methane seep site monitoring offshore western Svalbard: hourly to seasonal variability and associated oceanographic parameters 

      Dølven, Knut Ola; Ferré, Benedicte; Silyakova, Anna; Jansson, Pär; Linke, Peter; Moser, Manuel (Journal article; Tidsskriftartikkel; Peer reviewed, 2022-02-18)
      Improved quantification techniques of natural sources are needed to explain variations in atmospheric methane. In polar regions, high uncertainties in current estimates of methane release from the seabed remain. We present unique 10- and 3-month time series of bottom water measurements of physical and chemical parameters from two autonomous ocean observatories deployed at separate intense seabed ...
    • Autonomous Navigation in (the Animal and) the Machine 

      Leikanger, Per Roald (Doctoral thesis; Doktorgradsavhandling, 2022-07-05)
      Understanding the principles underlying autonomous navigation might be the most enticing quest the computational neuroscientist can undertake. Autonomous operation, also known as voluntary behavior, is the result of higher cognitive mechanisms and what is known as executive function in psychology. A rudimentary knowledge of the brain can explain where and to a certain degree how parts of a computation ...
    • Autostrata: Improved Automatic Stratification for Coarsened Exact Matching 

      Arnes, Jo Inge; Hapfelmeier, Alexander; Horsch, Alexander (Chapter; Bokkapittel, 2022-08-22)
      We commonly adjust for confounding factors in analytical observational epidemiologyto reduce biases that distort the results. Stratification and matching are standard methods for reducing confounder bias. Coarsened exact matching (CEM) is a recent method using stratification to coarsen variables into categorical variables to enable exact matching of exposed and nonexposed ...
    • Aux-Drop: Handling Haphazard Inputs in Online Learning Using Auxiliary Dropouts 

      Agarwal, Rohit; Prasad, Dilip Kumar; Horsch, Ludwig Alexander; Gupta, Deepak Kumar (Journal article; Tidsskriftartikkel; Peer reviewed, 2023)
      Many real-world applications based on online learning produce streaming data that is haphazard in nature, i.e., contains missing features, features becoming obsolete in time, the appearance of new features at later points in time and a lack of clarity on the total number of input features. These challenges make it hard to build a learnable system for such applications, and almost no work exists in ...
    • Auxiliary Network: Scalable and agile online learning for dynamic system with inconsistently available inputs 

      Agarwal, Rohit; Agarwal, Krishna; Horsch, Alexander; Prasad, Dilip K. (Journal article; Tidsskriftartikkel, 2022-04-13)
      Streaming classification methods assume the number of input features is fixed and always received. But in many real-world scenarios, some features are reliable while others are unreliable or inconsistent. We propose a novel online deep learning-based model called Auxiliary Network (Aux-Net), which is scalable and agile and can handle any number of inputs at each time instance. The Aux-Net model is ...
    • Availability assessment of oil and gas processing plants operating under dynamic Arctic weather conditions 

      Naseri, Masoud; Baraldi, Piero; Compare, Michele; Zio, Enrico (Peer reviewed; Journal article; Tidsskriftsartikkel, 2016-03-19)
      We consider the assessment of the availability of oil and gas processing facilities operating under Arctic conditions. The novelty of the work lies in modelling the time-dependent effects of environmental conditions on the components failure and repair rates. This is done by introducing weather-dependent multiplicative factors, which can be estimated by expert judgements given the scarce data available ...
    • Availability Importance Measure for Various Operation Condition 

      Barabadi, Abbas; Nouri, ali; Hazrati, Ali; Zamani, Ali; Mokhberdoran, Mehdi (Journal article; Tidsskriftartikkel; Peer reviewed, 2022-01-01)
      The concept of availability importance measures can be used to identifying critical components from the availability performance point of view. The availability of an item depends on the combined aspects of its reliability and maintainability performance indices. These indices are considerably affected by operational and environmental conditions such as; ambient temperature, precipitation, wind, ...
    • An averaged polarizable potential for multiscale modeling in phospholipid membranes 

      Witzke, Sarah; List, Nanna Holmgaard; Olsen, Jógvan Magnus Haugaard; Steinmann, Casper; Petersen, Michael; Beerepoot, Maarten; Kongsted, Jacob (Journal article; Tidsskriftartikkel; Peer reviewed, 2017-02-03)
      A set of average atom-centered charges and polarizabilities has been developed for three types of phospholipids for use in polarizable embedding calculations. The lipids investigated are 1,2-dimyristoyl-sn-glycero-3-phosphocholine, 1-palmitoyl-2-oleoyl-sn-glycero-3-phosphocholine, and 1-palmitoyl-2-oleoyl-sn-glycerol-3-phospho-L-serine given their common use both in experimental and computational ...
    • Averaged Solvent Embedding Potential Parameters for Multiscale Modeling of Molecular Properties 

      Beerepoot, Maarten; Steindal, Arnfinn Hykkerud; List, Nanna Holmgaard; Kongsted, Jacob; Olsen, Jógvan Magnus Haugaard (Journal article; Tidsskriftartikkel, 2016-03-03)
      We derive and validate averaged solvent parameters for embedding potentials to be used in polarizable embedding quantum mechanics/molecular mechanics (QM/MM) molecular property calculations of solutes in organic solvents. The parameters are solvent-specific atom-centered partial charges and isotropic polarizabilities averaged over a large number of geometries of solvent molecules. The use ...
    • Avoiding Electron Spill-Out in QM/MM Calculations on Excited States with Simple Pseudopotentials 

      Marefat Khah, Alireza; Reinholdt, Peter; Olsen, Jógvan Magnus Haugaard; Kongsted, Jacob; Hattig, Christof (Journal article; Tidsskriftartikkel; Peer reviewed, 2020-02-07)
      QM/MM calculations of electronic excitations with diffuse basis sets often have large errors due to spill-out of electrons from the quantum subsystem. The Pauli repulsion of the electrons by the environment has to be included to avoid this. We propose transferable atomic all-electron pseudopotentials that can readily be combined with most MM force fields to avoid electron spill-out. QM/MM excitation ...
    • Avradikalisering og intervensjon: Utfordringer og mulige endringer 

      Alzayegh, Nor (Master thesis; Mastergradsoppgave, 2021-06-27)
      Endinger i verdensstrukturen har bidratt til utvikling av den tradisjonelle sikkerhetsrealiteten, mot mer komplekse og sammensatte systemer. Disse kompleksiteter har ført til dannelsen av nye risikoer og handlingsmønstre i håndteringen av radikalisering og voldelig ekstremisme. Denne studien handler om utfordringer som er tilfellet på ulike nivåer av det etablerte forebyggingssystemet. Oppgaven ser ...
    • Axial and radial development of the hot electron distribution in a helicon plasma source, measured by a retarding field energy analyzer (RFEA) 

      Buschmann, Lisa Marie; Fredriksen, Åshild (Journal article; Tidsskriftartikkel; Peer reviewed, 2022-02-10)
      The information about the electron population of a helicon source plasma that expands along a magnetic nozzle is important for understanding the plasma acceleration across the potential drop that forms in the nozzle. The electrons need an energy higher than the potential drop to escape from the source. At these energies the signal of a Langmuir probe is less accurate. An inverted RFEA measures the ...
    • Azulicorrole 

      Larsen, Simon; Mccormick-Mcpherson, Laura J; Teat, Simon J.; Ghosh, Abhik (Journal article; Tidsskriftartikkel; Peer reviewed, 2019-04-12)
      Acid-catalyzed condensation of pyrrole, 4-trifluoromethylbenzaldehyde, and azulene, followed by DDQ oxidation, has resulted in the isolation of the novel macrocycle azulicorrole, arguably the first example of a carbacorrole aside from N-confused corrole. Despite poor yields (<1%), the free ligand could be structurally characterized and converted to the formal Cu(III) and Au(III) derivatives, of which ...
    • Áika: A Distributed Edge System for AI Inference 

      Alslie, Joakim Aalstad; Ovesen, Aril Bernhard; Nordmo, Tor-Arne Schmidt; Johansen, Håvard D.; Halvorsen, Pål; Riegler, Michael; Johansen, Dag (Journal article; Tidsskriftartikkel; Peer reviewed, 2022-06-17)
      Video monitoring and surveillance of commercial fisheries in world oceans has been proposed by the governing bodies of several nations as a response to crimes such as overfishing. Traditional video monitoring systems may not be suitable due to limitations in the offshore fishing environment, including low bandwidth, unstable satellite network connections and issues of preserving the privacy of crew ...