Now showing items 4237-4256 of 6552

    • Neural Net Controller for a Snake Robot 

      Dale, Eirik Skjeggestad (Master thesis, 2014)
      When we re talking about the field of robotics, one of the key components is the controller for the robots. The focus has recently begun shifting away from the traditional wheeled robots, into biologically inspired robots. ...
    • A neural network based framework for effective laparoscopic video quality assessment 

      Khan, Zohaib Amjad; Beghdadi, Azeddine; Kaaniche, Mounir; Alaya Cheikh, Faouzi; Gharbi, Osama (Peer reviewed; Journal article, 2022)
      Video quality assessment is a challenging problem having a critical significance in the context of medical imaging. For instance, in laparoscopic surgery, the acquired video data suffers from different kinds of distortion ...
    • Neural Network for Recognizing Features in Music 

      Eiklid, Sindre; Loland, Rickard; Grindal, Maren Skårestuen (Bachelor thesis, 2022)
      Gjennom de siste to tiårene har det blitt gjort stor fremgang rundt identifisering og klassifisering av trekk og egenskaper i musikk, gjennom bruk av fremgangsmåter som neural networks og maskinlæring. Til tross for dette ...
    • Neural Network Models of Mathematical Cognition 

      Sabathiel, Silvester (Doctoral theses at NTNU;2023:91, Doctoral thesis, 2023)
    • Neural Network Robustness Against Semantic Adversarial Attacks 

      Syversen, Lars Kåre (Master thesis, 2021)
      I de siste årene har dyp læring hatt en eksplosiv vekst i popularitet, både i akademiske og industrielle applikasjoner. Introduksjonen av konvolusjonære nevrale nettverk har tatt bildegjenkjenningsoppgaver til et nytt nivå ...
    • Neural Networks for Entity Matching: A Survey 

      Barlaug, Nils; Gulla, Jon Atle (Peer reviewed; Journal article, 2021)
      Entity matching is the problem of identifying which records refer to the same real-world entity. It has been actively researched for decades, and a variety of different approaches have been developed. Even today, it remains ...
    • Neural networks for sentiment analysis in AsterixDB 

      Finckenhagen, Johan Morten Kristoffer (Master thesis, 2018)
      As data is generated at an ever increasing rate, and social media are getting larger and more comprehensive than ever, the availability of these data and the possibility to analyze them, is growing as well. The capability ...
    • Neural Ordinary Differential Equations for Forecasting in the Energy Sector 

      Borg, Stefan Artur Sobczyszyn (Master thesis, 2019)
      Nevrale Ordinære Differentiallikninger (NODE) [Chen et al., 2018] er en ny familie av nevrale nettverk som eksplisitt modellerer nettverkets skjulte tilstand som et dynamisk system, og løser dette systemet ved å bruke en ...
    • A neuro-inspired general framework for the evolution of stochastic dynamical systems: Cellular automata, random Boolean networks and echo state networks towards criticality 

      Pontes-Filho, Sidney; Lind, Pedro; Yazidi, Anis; Zhang, Jianhua; Hammer, Hugo Lewi; Mello, Gustavo; Sandvig, Ioanna; Tufte, Gunnar; Nichele, Stefano (Peer reviewed; Journal article, 2020)
      Although deep learning has recently increased in popularity, it suffers from various problems including high computational complexity, energy greedy computation, and lack of scalability, to mention a few. In this paper, ...
    • Neuronal avalanche dynamics and functional connectivity elucidate information propagation in vitro 

      Heiney, Kristine Anne; Huse Ramstad, Ola; Fiskum, Vegard; Sandvig, Axel; Sandvig, Ioanna; Nichele, Stefano (Peer reviewed; Journal article, 2022)
      Cascading activity is commonly observed in complex dynamical systems, including networks of biological neurons, and how these cascades spread through the system is reliant on how the elements of the system are connected ...
    • A New Adaptive Mixture Distance-Based Improved Density Peaks Clustering for Gearbox Fault Diagnosis 

      Sharma, Krishna Kumar; Seal, Ayan; Yazidi, Anis; Krejcar, Ondrej (Peer reviewed; Journal article, 2022)
      With the rapid development of sensors and mechanical systems, we produce an exponentially large amount of data daily. Usually, faults are prevalent in these sensory systems due to harsh operational conditions. Thus, detecting ...
    • New Approaches for Representation and Segmentation of Organs in CT and MR Scans 

      Eidheim, Ole Christian (Doktoravhandlinger ved NTNU, 1503-8181; 2009:79, Doctoral thesis, 2009)
      Analysis of medical images is resource demanding and time-consuming, and automatic procedures are needed to reduce the workload of medical staff in a pre-operative planning phase. In this thesis, the main focus has been ...
    • A New Belief-based Incomplete Pattern Unsupervised Classification Method 

      Zhang, Zuo-Wei; Liu, Zhe; Ma, Zongfang; Zhang, Yiru; Wang, Hao (Peer reviewed; Journal article, 2021)
      The clustering of incomplete patterns is a very challenging task because the estimations may negatively affect the distribution of real centers and thus cause uncertainty and imprecision in the results. To address this ...
    • A new decision making model based on Rank Centrality for GDM with fuzzy preference relations 

      Yazidi, Anis; Ivanovska, Magdalena; Zennaro, Fabio Massimo; Lind, Pedro; Viedma, Enrique Herrera (Peer reviewed; Journal article, 2021)
      Preference aggregation in Group Decision Making (GDM) is a substantial problem that has received a lot of research attention. Decision problems involving fuzzy preference relations constitute an important class within GDM. ...
    • New gamut boundary target for defining the colour gamut of a printing system 

      Green, Philip John; Revie, Craig (Journal article; Peer reviewed, 2018)
      A new test target for defining the gamut boundary of a printing device is described, which results in a list of vertices on the boundary and the set of triangular faces that connect them. When used in conjunction with an ...
    • New Insights into Content Production in Social Platforms 

      Kusmierczyk, Tomasz (Doctoral theses at NTNU;2018:173, Doctoral thesis, 2018)
      Social media influences to a great extent everyday life of millions of people, and therefore the understanding of certain patterns relating to online platforms and communities, and the ability to model and predict them, ...
    • New opportunities for institutional analysis in public administration research 

      Frantz, Christopher; Siddiki, Saba (Peer reviewed; Journal article, 2021)
      This Symposium features research that engages an institutional analysis approach, called the Institutional Grammar. Institutional analysis is the study of rules, norms, and strategies (e.g., public policies, organizational ...
    • New visual programming approaches for robots 

      Bjørseth, Petter (Master thesis, 2022)
      Programmering av roboter er et komplekst problemområde som krever avanserte programmeringsferdigheter. Visuelle programmeringsspråk ønsker å senke den syntaktiske kompleksiteten til programmeringsspråk og senke terskelen ...
    • Nexstep-integrasjon 

      Fjelstad, Anders; Helset, Petter A.; Sørensen, Didrik (Bachelor thesis, 2010)
      Oppgaven går ut på å lage en applikasjon hvor de ansatte hos ASP kan registerere sine arbeidstimer fortløpende, enkelt og hurtig. Det skal være en integrasjon mot nåværende ordresystem, slik at hele faktureringsprosessen ...
    • Next generation geophysical sensing: exploring a new wave of geophysical technologies for the energy transition 

      Ringrose, Philip; Landrø, Martin; Potter, John; Eidsvik, Jo; Wienecke, Susann; Bouffaut, Léa; Oye, Volker; Dong, Hefeng; Elster, Anne C.; Johansen, Ståle Emil (Peer reviewed; Journal article, 2021)