• Prediction of Atrial Fibrillation using artificial intelligence on Electrocardiograms: A systematic review 

  Matias, Igor; Garcia, Nuno; Pirbhulal, Sandeep; Felizardo, Virginie; Pombo, Nuno; Zacarias, Henriques; Sousa, Miguel; Zdravevski, Eftim (Peer reviewed; Journal article, 2021)

  Atrial Fibrillation (AF) is a type of arrhythmia characterized by irregular heartbeats, with four types, two of which are complicated to diagnose using standard techniques such as Electrocardiogram (ECG). However, and ...

• Short-term hydropower scheduling in congested areas: A novel approach employing DC power flow and grid limitations 

  Eriksen, Marius; Espeland Trondal, Mathias (Master thesis, 2022)

  Denne masteroppgaven evaluerer virkningen av å inkludere kraftflytlikninger i den kortsiktige vannkraftplanleggingen. Forskningen og arbeidet utføres på en egenutviklet optimaliseringsmodell i et område med begrenset ...

• Short-term hydropower scheduling in congested areas: A novel approach employing DC power flow and grid limitations 

  Eriksen, Marius; Espeland Trondal, Mathias (Master thesis, 2022)

  Denne masteroppgaven evaluerer virkningen av å inkludere kraftflytlikninger i den kortsiktige vannkraftplanleggingen. Forskningen og arbeidet utføres på en egenutviklet optimaliseringsmodell i et område med begrenset ...

• Benchmarking modern gloss correlators with established ISO 2813 standard and visual judgement of gloss 

  Saric, Donatela; Kraushaar, Andreas; Mattuschka, Marco; Green, Philip John (Journal article; Peer reviewed, 2021)

• Method for subjective assessment of immersion in audiovisual experiences 

  Agrawal, Sarvesh; Bech, Soren; Berentsen, Klaus; De Moor, Katrien; Forchhammer, Soren (Journal article; Peer reviewed, 2021)

  Studying immersion in audiovisual experiences can help technologists deliver engaging and enhanced experiences. As a first step toward this goal this paper details an investigation conducted to establish an experimental ...

• A personality-aware group recommendation system based on pairwise preferences 

  Abolghasemi, Roza; Engelstad, Paal E.; Herrera-Viedma, Enrique; Yazidi, Anis (Peer reviewed; Journal article, 2022)

  Human personality plays a crucial role in decision-making and it has paramount importance when individuals negotiate with each other to reach a common group decision. Such situations are conceivable, for instance, when a ...

• On Adaptive Moving Average Algorithms for the Application of the Conservative Power Theory in Systems with Variable Frequency 

  Mota, Daniel dos Santos; Tedeschi, Elisabetta (Journal article; Peer reviewed, 2021)

  The Conservative Power Theory (CPT) emerged in recent decades as a theoretical framework for coping with harmonically distorted and unbalanced electric networks of ac power systems with a high participation of converter ...

• Acoustic-to-Articulatory Mapping With Joint Optimization of Deep Speech Enhancement and Articulatory Inversion Models 

  Sabzi Shahrebabaki, Abdolreza; Salvi, Giampiero; Svendsen, Torbjørn Karl; Siniscalchi, Sabato Marco (Journal article; Peer reviewed, 2021)

  We investigate the problem of speaker independent acoustic-to-articulatory inversion (AAI) in noisy conditions within the deep neural network (DNN) framework. In contrast with recent results in the literature, we argue ...

• Approximate query processing over static sets and sliding windows 

  Basat, Ran Ben; Jo, Seungbum; Satti, Srinivasa Rao; Ugare, Shubham (Journal article; Peer reviewed, 2021)

  Indexing of static and dynamic sets is fundamental to a large set of applications such as information retrieval and caching. Denoting the characteristic vector of the set by B, we consider the problem of encoding sets and ...

• Prioritisation of security an agile software development projects 

  Tøndel, Inger Anne (Doctoral theses at NTNU;2022:285, Doctoral thesis, 2022)

  Agile software development is driven by business value, and strives towards visible progressthrough features. Consequently, the somewhat invisible and overarching aspect of softwaresecurity is at the risk of being neglected.A ...

• PSCAD Simulations of Distance Protection Performance in a Grid with high Wind Power Penetration 

  Bremnes, Lars Thaulow (Master thesis, 2022)

  Distansevern anses å være det mest pålitelige vernet når det kommer til å beskytte høyspentlinjer. Dette er kanskje ikke tilfelle lenger, da andelen av fornybare energikilder blir en vesentlig større del av kraftsystemet. ...

• SJSON: A succinct representation for JSON documents 

  Lee, Junhee; Anjos, Edman; Satti, Srinivasa Rao (Journal article; Peer reviewed, 2021)

  The massive amounts of data processed in modern computational systems are becoming a problem of increasing importance. This data is commonly stored directly or indirectly through the use of data exchange languages, such ...

• Machine Learning for Detection of Fronts in Ocean Model and Remote Sensing Data 

  Haglund, Thomas (Master thesis, 2022)

  Havfronter er overganger mellom vannmasser med ulike fysiske egenskaper som temperatur, salinitet og tetthet. Fronter kan være utfordrende å detektere da de er komplekse og har «weak edges» (svake gradienter). Dette fører ...

• Behavioural monitoring of salmon juveniles using stereo vision and machine learning 

  Nedreberg, Åshild (Master thesis, 2022)

  Bruken av landbaserte oppdrettsanlegg er økende i akvakulturnæringen. Foreløpig er det mangel på autonome løsninger for atferdsovervåkning av fisk i landbaserte anlegg. Dette er ettertraktet for å kunne avdekke dårlig ...

• Visualizing Electromechanical Oscillations for Control Room Purposes 

  Maiken Borud Omtveit (Master thesis, 2022)

  Økt satsing på fornybare konverter-baserte energikilder og utfasing av eldre synkron- generatorer basert på fossile energikilder fører til økt tilstedeværelse av elektromekaniske pendlinger i kraftsystemet. Elektromekaniske ...

• Deep Neural Network Inference Acceleration: FPGA vs. GPU 

  Snarli, Alexander (Master thesis, 2022)

  De siste årene har dype nevrale nettverk stadig blitt tatt mer i bruk i en stor variasjon av industrier, for å utnytte det store potensiale maskinlæringsteknologi tar med seg i form av effektivitet av databehandling. En ...

• Path Following and Collision Avoidance for Quadcopters using Deep Reinforcement Learning 

  Sundøen, Ludvig Løken (Master thesis, 2022)

  Klassiske kontrollmetoder avhenger av nøyaktige modeller. Slike modeller eksisterer ikke alltid for komplekse systemer, og kontroll er begrenset til enkle oppgaver på lavt nivå. Modellfrie Reinforcement Learning (RL) ...

• Branch prediction for a RISC-V processor core 

  Ray, Achyut (Master thesis, 2022)

  A processor’s performance is measured using metrics of speed and accuracy. These are, however, not independent of one another. The more accurately a processor does what it is supposed to, the less time is spent correcting ...

• Robust Algorithms For Face Morphing Attack Detection: Database, Vulnerability and Detection 

  Venkatesh, Sushma Krupa (Doctoral theses at NTNU;2022:299, Doctoral thesis, 2022)

  Biometrics has emerged as a promising technology for automated recognition of individuals. The stored biometric characteristics are used to recognise an individual and hence biometrics technology plays a major role in ...

• Implementation and evaluation of 16-bit thermal-inertial odometry using non-linear factor graphs 

  Falck, Eirik Flemsæter (Master thesis, 2022)

  Denne oppgaven presenterer adapsjonen og evalueringen av algoritmen Semi-direct Visual Odometry (SVO) til å bruke 16-biters termiske bilder, samt implementasjonen av en faktorgraf-basert backend. Varmekamera kan passivt ...

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