• Acoustic channel management for increased autonomy in underwater multi-agent patrol forces 

  Wengle, Emil (Doctoral theses at NTNU;2025:89, Doctoral thesis, 2025)

  Selvgående undervannskjøretøy (“Autonomous Underwater Vehicles”, AUVer) er tilganger som har mange anvendelser. Disse kjøretøyene er viktige for å kunne overvåke utilgjengelige og strategisk viktige områder, særlig i tider ...

• Testbench Performance Optimization 

  Olaoye, Oluwatimileyin Bisola (Master thesis, 2024)

  Verifikasjon av digitale systemer, som applikasjonsspesifikke integrerte kretser (ASIC) og system-on-chips (SOCs), er en viktig del av designet for å garantere at designet utfører etter designspesifikasjoner [1]. Design- ...

• Designing a RISC-V Reference Model for Open Source Processor Cores 

  Eikenes, Torje Nygaard (Master thesis, 2024)

  Nøye verifikasjon er avgjørende ved utviklig av prosessorkjerner og tar en betydelig del av den totale utviklingstiden. Asynkrone hendelser som "interrupts" er en stor utfordring i prosessorverifisering, som ofte fører til ...

• Exploring consent as an aesthetic experience through applied theatre with people living with dementia 

  Dalby, Karoline; Mittner, Lilli; Gjærum, Rikke Gürgens (Journal article; Peer reviewed, 2024)

  The process of giving or obtaining consent is typically seen as a series of language-based actions, either documented on a written form or communicated verbally. However, both methods can present challenges when engaging ...

• A Coordinated Approach Using Hyperspectral Satellite, USV, and VTOL Drone Systems for Algae Bloom Monitoring in Norwegian Coastal Waters 

  Chiatante, Corrado; Berg, Simen; Garrett, Joseph Landon; Halvorsen, Daniel Ørnes; Birkeland, Roger; Orlandic, Milica (Journal article, 2024)

• Validity of the 1984 Interim Guidelines on Airborne Ultrasound and Gaps in the Current Knowledge 

  Karipidis, Ken; Abramowicz, Jacques; Hirata, Akimasa; Kuhne, Jens; Leighton, Timothy G.; Oftedal, Gunnhild; Radosz, Jan; Röösli, Martin; Croft, Rodney; van Rongen, Eric; Cridland, Nigel; Huss, Anke; d'Inzeo, Guglielmo; Marino, Carmela; Watanabe, Soichi (Peer reviewed; Journal article, 2024)

• Multimodal Deep Learning Improves Recurrence Risk Prediction in Pediatric Low-Grade Gliomas 

  Mahootiha, Maryamalsadat; Tak, Divyanshu; Ye, Zezhong; Zapaishchykova, Anna; Likitlersuang, Jirapat; Climent Pardo, Juan Carlos; Boyd, Aidan; Vajapeyam, Sridhar; Chopra, Rishi; Prabhu, Sanjay P; Liu, Kevin X.; Elhalawani, Hesham; Nabavizadeh, Ali; Familiar, Ariana; Mueller, Sabine; Aerts, Hugo J W L; Bandopadhayay, Pratiti; Ligon, Keith L.; Haas-Kogan, Daphne; Poussaint, Tina Y; Qadir, Hemin Ali; Balasingham, Ilangko; Kann, Benjamin H (Peer reviewed; Journal article, 2024)

  Background Postoperative recurrence risk for pediatric low-grade gliomas (pLGGs) is challenging to predict by conventional clinical, radiographic, and genomic factors. We investigated if deep learning (DL) of magnetic ...

• High-level FPGA Design of Deep Learning Hyperspectral Anomaly Detection 

  Boyle, Samuel; Gundersen, Aksel Lindbæk; Orlandic, Milica (Chapter, 2023)

• High-Level CCSDS 123.0-B-2 Hyperspectral Image Compressor Verification Model 

  Vorhaug, Daniel; Boyle, Samuel; Orlandic, Milica (Peer reviewed; Journal article, 2024)

• Flexible Inference of Arbitrary Precision Neural Network Accelerator for Cloud Detection 

  Boyle, Samuel (Chapter, 2024)

• Graph-Based Anomaly Detection and Localization in InSAR Data 

  Rosa Meireles Elias, Vitor; Dehls, John F.; Salvo Rossi, Pierluigi (Chapter, 2024)

• A holistic quality taxonomy for virtual reality experiences 

  Hameed, Asim; Möller, Sebastian; Perkis, Andrew Niels (Peer reviewed; Journal article, 2024)

  The rapid advancement of virtual reality (VR) technology has brought many immersive experiences, each designed to transport users into captivating virtual worlds. While these experiences aim to provide a sense of presence ...

• Deep learning-assisted survival prognosis in renal cancer: A CT scan-based personalized approach 

  Mahootiha, Maryamalsadat; Qadir, Hemin Ali; Aghayan, Davit; Fretland, Åsmund Avdem; Edwin, Bjørn von Gohren; Balasingham, Ilangko (Peer reviewed; Journal article, 2024)

  This paper presents a deep learning (DL) approach for predicting survival probabilities of renal cancer patients based solely on preoperative CT imaging. The proposed approach consists of two networks: a classifier- and a ...

• Mapping Global Lithospheric Mantle Pressure-Temperature Conditions by Machine-Learning Thermobarometry 

  Qin, Ben; Ye, Chenyang; Liu, Jingao; Huang, Shichun; Wang, Shunguo; ZhangZhou, J. (Peer reviewed; Journal article, 2024)

  Comprehending the temperature distribution within Earth's lithospheric mantle is of paramount importance for understanding the dynamics of Earth's interior. Traditional mineral-based thermobarometers effectively constrain ...

• Multi-Cluster Approaches to Radio Sensor Array Channel Modeling and Simulation 

  Li, Xin; Ekman, Torbjörn; Yang, Kun (Peer reviewed; Journal article, 2024)

  In this paper, we explore the physical propagation environment of radio waves by describing it in terms of distant scattering clusters. Each cluster consists of numerous scattering objects that may exhibit certain statistical ...

• Piezoelectrically tunable, narrow linewidth photonic integrated extended-DBR lasers 

  Siddharth, Anat; Attanasio, Alaina; Bianconi, Simone; Lihachev, Grigory; Zhang, Junyin; Qiu, Zheru; Bancora, Andrea; Kenning, Scott; Wang, Rui Ning; Voloshin, Andrey S.; Bhave, Sunil A.; Riemensberger, Johann; Kippenberg, Tobias J. (Peer reviewed; Journal article, 2024)

  Recent advancements in ultra-low-loss silicon nitride (Si3N4)-based photonic integrated circuits have surpassed fiber lasers in coherence and frequency agility. However, high manufacturing costs of DFB and precise control ...

• Inverse Effective Index Method for Two-Dimensional Simulations of Photonic Components 

  Høvik, Jens; Aksnes, Astrid (Peer reviewed; Journal article, 2023)

  The representation of three-dimensional integrated photonic structures in two-dimensional designs has been investigated through finite element analysis using COMSOL Multiphysics. The accuracy of the effective index method ...

• Advancing mmWave Altimetry for Unmanned Aerial Systems: A Signal Processing Framework for Optimized Waveform Design 

  Awan, Maaz Ali; Dalveren, Yaser; Kara, Ali; Derawi, Mohammad (Peer reviewed; Journal article, 2024)

  This research advances millimeter-wave (mmWave) altimetry for unmanned aerial systems (UASs) by optimizing performance metrics within the constraints of inexpensive automotive radars. Leveraging the software-defined ...

• A Radio Frequency Fingerprinting-Based Aircraft Identification Method Using ADS-B Transmissions 

  Gurer, Gursu; Dalveren, Yaser; Kara, Ali; Derawi, Mohammad (Peer reviewed; Journal article, 2024)

  The automatic dependent surveillance broadcast (ADS-B) system is one of the key components of the next generation air transportation system (NextGen). ADS-B messages are transmitted in unencrypted plain text. This, however, ...

• Meshfree modelling of magnetotelluric and controlled-source electromagnetic data for conductive earth models with complex geometries 

  Long, Jianbo (Peer reviewed; Journal article, 2024)

  Geophysical electromagnetic survey methods are particularly effective in locating conductive mineral deposits or mineralization zones in a mineral resource exploration. The forward modelling of the electromagnetic responses ...

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