Communities

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  • UAV Icing: Numerical Simulation of Icing Effects on Wing and Empennage 

    Lindner, Markus Jürgen; Wallisch, Joachim; Hann, Richard (Peer reviewed; Journal article, 2023)
    In-flight icing can result in severe aerodynamic performance penalties for unmanned aerial vehicles. It is therefore important to understand to which extent ice will build up on fixed-wing unmanned aerial vehicles wings ...

  • Toward Solving a Puzzle of Fragmented Archeological Textiles 

    Gigilashvili, Davit; Gulbrandsen, Casper Fabian; Nguyen, Ha Thu; Havgar, Margrethe; Vedeler, Marianne; Hardeberg, Jon Yngve (Peer reviewed; Journal article, 2024)
    Archeological textiles can provide invaluable insight into the past. However, they are often highly fragmented, and a puzzle has to be solved to re-assemble the object and recover the original motifs. Unlike common jigsaw ...

  • The relationship between neural phase entrainment and statistical word-learning: A scoping review 

    Sjuls, Guro Stensby; Harvei, Nora Nordseth; Vulchanova, Mila Dimitrova (Peer reviewed; Journal article, 2023)
    Statistical language-learning, the capacity to extract regularities from a continuous speech stream, arguably involves the ability to segment the stream before the discrete constituents can be stored in memory. According ...

  • Unmanned Aerial Vehicles for Air Pollution Monitoring: A Survey 

    Motlagh, Naser Hossein; Kortoci, Pranvera; Su, Xiang; Loven, Lauri; Hoel, Hans Kristian; Haugsvær, Sindre Bjerkestrand; Srivastava, Varun; Gulbrandsen, Casper Fabian; Nurmi, Petteri; Tarkoma, Sasu (Peer reviewed; Journal article, 2023)
    Unmanned aerial vehicles (UAVs) equipped with air quality sensors offer a powerful solution for increasing the spatial and temporal resolution of air quality data, searching and detecting emission sources, and monitoring ...

  • How Far Should We Look Back to Achieve Effective Real-Time Time-Series Anomaly Detection? 

    Lee, Ming-Chang; Lin, Jia-Chun; Gran, Ernst Gunnar (Chapter, 2021)
    Anomaly detection is the process of identifying unexpected events or abnormalities in data, and it has been applied in many different areas such as system monitoring, fraud detection, healthcare, intrusion detection, etc. ...

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