• Neural aspects of prospective control through resonating taus in an interceptive timing task 

      Van der Weel, Frederikus; Sokolovskis, Ingemars; Raja, Vicente; Van der Meer, Audrey (Peer reviewed; Journal article, 2022)
      High-density electroencephalography from visual and motor cortices in addition to kinematic hand and target movement recordings were used to investigate τ-coupling between brain activity patterns and physical movements in ...
    • Neural classification of Norwegian radiology reports: using NLP to detect findings in CT-scans of children 

      Dahl, Fredrik Andreas; Kasicheyanula, Taraka Rama; Hurlen, Petter; Brekke, Pål Haugar; Husby, Haldor; Gundersen, Tore; Nytrø, Øystein; Øvrelid, Lilja (Peer reviewed; Journal article, 2021)
      Background With a motivation of quality assurance, machine learning techniques were trained to classify Norwegian radiology reports of paediatric CT examinations according to their description of abnormal findings. M ...
    • Neural coding of behavior in the rodent associative cortices 

      Mimica, Bartul (Doctoral theses at NTNU;2019:357, Doctoral thesis, 2019)
    • Neural correlates of working memory training in HIV patients: Study protocol for a randomized controlled trial 

      Chang, Linda; Løhaugen, Gro; Douet, Vanessa; Miller, Eric N.; Skranes, Jon Sverre; Ernst, Thomas (Peer reviewed; Journal article, 2016)
      Background Potent combined antiretroviral therapy decreased the incidence and severity of HIV-associated neurocognitive disorders (HAND); however, no specific effective pharmacotherapy exists for HAND. Patients with HIV ...
    • Neural disorder at the edge of chaos 

      Ramstad, Ola Huse (Doctoral theses at NTNU;2020:288, Doctoral thesis, 2020)
    • Neural Fractional Order PID Controllers Design for 2-Link Rigid Robot Manipulator 

      Mohamed, Mohamed Jasim; Oleiwi, Bashra Kadhim; Abood, Layla H.; Azar, Ahmad Taher; Hameed, Ibrahim A. (Peer reviewed; Journal article, 2023)
      The robotic manipulator is considered one of the complex systems that include multi-input, multi-output, non-linearity, and highly coupled. The uncertainty in the parameters and external disturbances have a negative influence ...
    • Neural innervation stimulates splenic TFF2 to arrest myeloid cell expansion and cancer. 

      Dubeykovskaya, Z; Si, Y; Chen, X; Worthley, DL; Renz, BW; Urbanska, AM; Hayakawa, Y; Xu, T; Westphalen, CB; Dubeykovskiy, A; Chen, Duan; Friedman, RA; Asfaha, S; Nagar, S; Tailor, Y; Muthupalani, S; Fox, JG; Kitajewski, J; Wang, Timothy C. (Peer reviewed; Journal article, 2016)
      CD11b(+)Gr-1(+) myeloid-derived suppressor cells (MDSCs) expand in the spleen during cancer and promote progression through suppression of cytotoxic T cells. An anti-inflammatory reflex arc involving the vagus nerve and ...
    • Neural Machine Translation using the RNNPB model with PB binding 

      Strømme Solberg, Daniel (Master thesis, 2019)
      Denne oppgaven vurderer modellen med navn Recurrent Neural Network with Parametric Biases (RNNPB) og anvender den til maskinoversetting. Modellen gjør det mulig å representere flere sekvenser med ett enkelt RNN ved å ...
    • Neural Modularity Helps Organisms Evolve to Learn New Skills without Forgetting Old Skills 

      Ellefsen, Kai Olav; Mouret, Jean-Baptiste; Clune, Jeff (Journal article; Peer reviewed, 2015)
      A long-standing goal in artificial intelligence is creating agents that can learn a variety of different skills for different problems. In the artificial intelligence subfield of neural networks, a barrier to that goal is ...
    • 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. ...
    • Neural Network Assisted Large Neighborhood Search for Personnel Rostering 

      Langfeldt, Sigurd Sigurdsson; Langholm, Magnus Hauge; Spangelo, Tomas Haugland (Master thesis, 2022)
      Allokering av arbeidskraft er en essensiell oppgave hos mange organisasjoner som kan være både kompleks og tidkrevende. Til tross for dette er den dominerende praksisen å sette opp timeplaner manuelt. Vår industripartner, ...
    • Neural Network Based Characterization and Feature Extraction from Analogue Radio Signals for Verification Purposes 

      Lykkedrang, Morten Olsen (Master thesis, 2018)
      Mixed-signal applications are among the fastest growing market segments in the electronics and semiconductor industry, and have caused many silicon manufacturers to have mixed-signal designs as one of their main focuses. ...
    • 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 modelling of mechanical joints for the application in large-scale crash analyses 

      André, Victor; Costas Pino, Miguel; Langseth, Magnus; Morin, David Didier (Peer reviewed; Journal article, 2023)
      This paper presents an artificial neural network (NN) modelling approach to represent a connector model in large-scale finite element explicit crash simulations. The NN model was established to describe the local ...
    • Neural Network Models of Mathematical Cognition 

      Sabathiel, Silvester (Doctoral theses at NTNU;2023:91, Doctoral thesis, 2023)
    • Neural Network Programming: Integrating First Principles into Machine Learning Models 

      Abaid, Andres Carranza (Doctoral theses at NTNU;2022:193, Doctoral thesis, 2022)
      Tired of borrowing the machine learning models proposed by computer scientists? This thesis proposes a new perspective, ideas, and methods to formulate hybrid models through the manipulation of the Artificial Neural Network ...
    • 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 Network-based Model Predictive Control with Input-to-State Stability 

      Seel, Katrine; Grøtli, Esten Ingar; Moe, Signe; Gravdahl, Jan Tommy; Pettersen, Kristin Ytterstad (Peer reviewed; Journal article, 2021)
      Learning-based controllers, and especially learning-based model predictive controllers, have been used for a number of different applications with great success. In spite of good performance, a lot of these cases lack ...
    • 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 ...