• AI-Driven Salient Soccer Events Recognition Framework for Next Generation IoT-Enabled Environments 

  Muhammad, Khan; Ullah, Hayat; Obaidat, Muhammad; Ullah, Amin; Munir, Arsalan; Sajjad, Muhammad; Albuquerque, Victor Hugo C. de (Journal article; Peer reviewed, 2021)

  The salient events recognition of soccer matches in next-generation Internet of things (Nx-IoT) environment aims to analyze the performance of players/teams by the sports analytics and managerial staff. The embedded Nx-IoT ...

• A contractive Hardy–Littlewood inequality 

  Kulikov, Aleksei (Journal article; Peer reviewed, 2021)

• Application of Phasor Measurements for Online Monitoring and Adaptive Damping Control of Electromechanical Oscillations 

  Haugdal, Hallvar (Doctoral theses at NTNU;2022:230, Doctoral thesis, 2022)

  Power systems are large and complex systems consisting of thousands of components, like generators, transformers and transmission lines, which function together to ensure that the voltage and frequency are close to the ...

• Smiling Earth - A Mobile Application to Promote Pro-Environmental Behavior 

  Farestveit, Håvard (Master thesis, 2022)

  Denne masteroppgåva presentere den tredje iterasjonen av Smiling Earth, som er ein mobil applikasjon som forsøker å påverke brukarane til å bli meir miljøvenlege, hovudsakleg ved å redusere deira karbonutslepp frå transport ...

• Data pre-processing and optimization techniques for stochastic and deterministic low-order grey-box models of residential buildings 

  Yu, Xingji; Georges, Laurent; Imsland, Lars Struen (Journal article; Peer reviewed, 2021)

  Grey-box models are data-driven models where the structure is defined by the physics while the parameters are calibrated using data. Low-order grey-box models of the building envelope are typically used for two main ...

• Vocal tract anatomy of king penguins: Morphological traits of two-voiced sound production 

  Kriesell, Hannah Joy; Le Bohec, Céline; Cerwenka, Alexander F.; Hertel, Moritz; Robin, Jean Patrice; Ruthensteiner, Bernhard; Gahr, Manfred; Aubin, Thierry; Düring, Daniel Normen (Journal article; Peer reviewed, 2020)

  Background The astonishing variety of sounds that birds can produce has been the subject of many studies aiming to identify the underlying anatomical and physical mechanisms of sound production. An interesting feature of ...

• Inversion of well logs into lithology classes accounting for spatial dependencies by using hidden markov models and recurrent neural networks 

  Tian, Miao; Omre, Henning; Xu, Huaimin (Journal article; Peer reviewed, 2021)

  Lithology is a crucial factor in reservoir characterization. Due to the limited availability of cores, the classes of the subsurface lithologies in boreholes need to be predicted from indirect measurements like well logs. ...

• Next-Generation Cryo-Electric Hydrogen-Powered Aviation: A Disruptive Superconducting Propulsion System Cooled by Onboard Cryogenic Fuels 

  Nøland, Jonas Kristiansen; Mellerud, Runar; Hartmann, Christian Magnus (Journal article; Peer reviewed, 2022)

  The idea of hydrogen (H2)- powered airplanes has recently attracted a revitalized push in the aviation sector to combat carbon dioxide (CO2) emissions. However, to also reduce, or even eliminate, non-CO2 emissions and con- ...

• Modular forms and Δ 

  Thrane, Thomas Agung Dibpa Anandita (Bachelor thesis, 2022)

  Modulære former dukker opp i mange matematiske grener som topologi, tallteori, kompleksanalyse, gruppeteori, og algebraisk geometri. For eksempel, så ble de brukt i Andrew Wiles sitt bevis av Fermats siste teorem. De har ...

• Industrial Control System Threat Intelligence, Process Safety, and Security Oriented Ontology 

  Berntsen, Sander Løken (Master thesis, 2022)

  Å beskytte industri kontroll systemer er en kompleks oppgave der feil kan føre til tap av liv. Denne oppgaven tar et dypdykk inn i litteraturen rundt industri kontroll system sikkerhet for å finne ut av hvilke elementer ...

• Detecting Malicious Python Packages in the Python Package Index (PyPI) 

  Milje, Anders Aasrum (Master thesis, 2022)

  Deling av åpen kildekode er en vanlig praksis i store deler av moderne programvareutvikling. Å dele programvare sparer utallige ressurser for utviklere, ikke bare fordi dette reduserer utviklingstid, men også en kan være ...

• Interdisciplinary approach to criminal network analysis: Opportunities and challenges 

  Johnsen, Jan William (Doctoral theses at NTNU;2022:65, Doctoral thesis, 2022)

  The Crime as a Service (CaaS) model allows cybercriminals to specialise in certain illicit fields, instead of being jacks-of-all-trades with in-depth computer knowledge. This model facilitates serious cyber-enabled and ...

• An investigation of sums with reciprocals of binomial coefficients 

  Steinberg, Jasper (Bachelor thesis, 2022)

  Abstract will be available on 2025-06-01

• Towards Physics-Informed Neural Networks for Urban Wind Flow Prediction 

  Gråberg, Helle Mortensen (Master thesis, 2022)

  Numerisk fluidmekanikk (CFD) er et fagområde som inkluderer metoder for simulering av fluidmekanikk. Disse metodene brukes for å løse en rekke komplekse problemer, blant annet predikering av vind i urbane områder. Med ...

• Study on the Variable Frequency Transformer's Operation and Frequency Range 

  Nasrollahi, Kooshiar (Master thesis, 2022)

  Inherently variable power generation from renewable energy sources (RES), such as wind turbines and solar panels, is challenging for energy shifting. Merging separated power grids into a super grid with various RES besides ...

• Parallelization of Local Learning Rules 

  Hovind, Ingebrigt Kristoffer Thomassen; Sletta, Erling Sung (Bachelor thesis, 2022)

  Denne bacheloroppgaven er et arbeid basert på en artikkel skrevet av Ole Christian Eidheim, som beskriver en "novel unsupervised learning rule based on Gaussian functions that can perform online clustering without needing ...

• A Proposed Solution for Detection, Classification and Geopositioning of Traffic Signs, Utilizing Machine Learning, Images and LIDAR Data 

  Haugberg, Henrik Latsch; Henriksen, Øyvind; Nordahl, Magnus (Bachelor thesis, 2022)

  Moderne maskinlæringsmetoder gjør det mulig å la maskiner utføre oppgaver som kan være monotone og tidkrevende for mennesker, eller å analysere store mengder data som vil være umulig for mennesker å prosessere. Denne ...

• Utvikling av Atea Pricing Calculator 

  Løkken, Ole; Myrold, Mathias; Tysland, Håvard (Bachelor thesis, 2022)

  Denne bacheloroppgaven omhandler utvikling av webapplikasjonen Atea Pricing Calculator, et system brukt av salgspersoner i Atea. Bakgrunnen for prosjektet var et behov for re-utvikling av en eksisterende webapplikasjon med ...

• User Interface Design for Industrial Control Systems 

  Jovic, Snezana; Marstrander, Nina Vinding (Bachelor thesis, 2022)

  Klienten bak dette prosjektet spesialiserer seg i automatiserte industrielle prosesser, gjerne innen masseproduksjon. For å kunne overvåke og kontrollere slike prosesser, bruker de i dag et grafisk brukergrensesnitt på ...

• Cryptographic Protocols from Lattice Assumptions 

  Berge, Guro Rio. (Bachelor thesis, 2022)

  Bachelor oppgåva vil introdusera to gitter-problem, learning with errors (LWE) and shortest integer solution (SIS), som sikkerheten til gitter-kryptografi baserer seg på. LWE og SIS var introdusert av henholdsvis Oded Regev ...

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