• DAB Radio Receiver using GNU Radio 

      Storvik, Petter Sakrihei (Master thesis, 2015)
      DAB radio, a digital replacement of FM radio, coverage is expanding. Receiver design using radio amateur equipment hasn't been much explored. This master's thesis explores the use of a DVB-T dongle, GNU Radio and a simple ...
    • Data Acquisition with Unmanned Aerial Vehicle (UAV) from Floating Sensor Nodes 

      Barbatei, Remus-Gabriel (Master thesis, 2014)
      In the last decades an increase in the need for ocean monitoring capabilities has arisen. To be able to meet these requirements a low-cost, automated solution is needed. It should be easy to maintain and to reconfigure as ...
    • Data for characterization of the optical properties of Atlantic salmon (Salmo salar) blood 

      Svendsen, Eirik; Randeberg, Lise Lyngsnes; Føre, Martin; Finstad, Bengt; Olsen, Rolf-Erik; Bloecher, Nina; Alfredsen, Jo Arve (Peer reviewed; Journal article, 2023)
      Photoplethysmography is a recent addition to physio-logging in Atlantic salmon which can be used for pulse oximetry provided that the properties for light propagation in salmon tissues are known. In this work, optical ...
    • Data Fusion for Subsea Oil Spill Detection Through Wireless Sensor Networks 

      Tabella, Gianluca; Paltrinieri, Nicola; Cozzani, Valerio; Salvo Rossi, Pierluigi (Journal article; Peer reviewed, 2020)
      This work studies the impact of Wireless Sensor Networks (WSNs) for oil spill detection in subsea Oil&Gas applications. The case study is the Goliat FPSO where one WSN with passive acoustic sensors is assumed to be installed ...
    • A Data-Driven Architecture for Sensor Validation Based on Neural Networks 

      Darvishi, Hossein; Ciuonzo, Domenico; Eide, Eivind R.; Salvo Rossi, Pierluigi (Peer reviewed; Journal article, 2020)
      In this paper, we propose a novel sensor validation architecture, which performs sensor fault detection, isolation and accommodation (SFDIA). More specifically, a machine-learning based architecture is presented to detect ...
    • Data-Driven Classifiers for Early Meal Detection Using ECG 

      Cheema, Muhammad Asaad; Patil, Pallavi; Siddiqui, Salman Ijaz; Salvo Rossi, Pierluigi; Stavdahl, Øyvind; Fougner, Anders Lyngvi (Peer reviewed; Journal article, 2023)
      This study investigates the potential of the electrocardiogram (ECG) to perform early meal detection, which is critical for developing a fully-functional automatic artificial pancreas. The study was conducted in a group ...
    • Data-Driven Personalized Cervical Cancer Risk Prediction: A Graph-Perspective 

      Gogineni, Vinay Chakravarthi; Langberg, Geir Severin Rakh Elvatun; Naumova, Valeriya; Nygård, Jan; Nygård, Marie; Grasmair, Markus; Werner, Stefan (Chapter, 2021)
      Routine cervical cancer screening at regular periodic intervals leads to either over-screening or too infrequent screening of patients. For this purpose, personalized screening intervals are desirable that account for ...
    • A Database for the Radio Frequency Fingerprinting of Bluetooth Devices 

      Uzundurukan, Emre; Dalveren, Yaser; Kara, Ali (Peer reviewed; Journal article, 2020)
      Radio frequency fingerprinting (RFF) is a promising physical layer protection technique which can be used to defend wireless networks from malicious attacks. It is based on the use of the distinctive features of the physical ...
    • De-warping Algorithm with Limited Line Buffers 

      Hossain Mohammad Shazzad (Master thesis, 2024)
      Denne oppgaven tar for seg det gjennomgripende problemet med bildeforvrengning – nærmere bestemt trommelforvrengning – som hovedsakelig oppstår i vidvinkelkameraer utstyrt med fiskeøye linser. Slike forvrengninger utgjør ...
    • Deblurring hyperspectral images of structures embedded in turbid media 

      Tenstad, Torstein (Master thesis, 2022)
      Spredning av lys er en utfordring ved hyperspektral avbildning av strukturer i turbide medium: Bildene blir uskarpe, og kan modelleres som en konvulsjon mellom et ideelt, klart bilde og en punkspredefunksjon. Metoder for ...
    • Debye relaxation mechanisms of microwave heating of near-critical polar gases 

      Kapranov, Sergey Viktorovich; Kouzaev, Guennadi (Journal article; Peer reviewed, 2010)
    • Decentralized Graph Federated Multitask Learning for Streaming Data 

      Gogineni, Vinay Chakravarthi; Werner, Stefan (Chapter, 2022)
      In federated learning (FL), multiple clients connected to a single server train a global model based on locally stored data without revealing their data to the server or other clients. Nonetheless, the current FL architecture ...
    • Decentralized Graph Federated Multitask Learning for Streaming Data 

      Gogineni, Vinay Chakravarthi; Werner, Anders Stefan; Huang, Yih-Fang; Kuh, Anthony (Annual Conference on Information Sciences and Systems (CISS);56, Chapter, 2022)
      In federated learning (FL), multiple clients connected to a single server train a global model based on locally stored data without revealing their data to the server or other clients. Nonetheless, the current FL architecture ...
    • Decentralized PMU-Assisted Power System State Estimation With Reduced Interarea Communication 

      Kashyap, Neelabh; Werner, Stefan; Huang, Yih-Fang (Journal article; Peer reviewed, 2018)
      This paper presents a decentralized approach to multiarea power system state estimation using a combination of conventional measurement devices and newer phasor measurement units (PMU). We employ a reduced-order approach ...
    • Decision Algorithm for Parking Sensors 

      Karami, Hossein (Master thesis, 2020)
      Studier viser at opptil en tredjedel av all urbane overbelastning er forårsaket av sjåfører som leter etter et sted å parkere. Amerikanske sjåfører bruker gjennomsnittlig 17 timer i året på å søke etter gratis parkeringsplasser ...
    • Decision Fusion for Carbon Dioxide Release Detection from Pressure Relief Devices 

      Tabella, Gianluca; Di Martino, Yuri; Ciuonzo, Domenico; Paltrinieri, Nicola; Wang, Xiaodong; Salvo Rossi, Pierluigi (Peer reviewed; Journal article, 2022)
      This work investigates the distributed detection of carbon dioxide (CO 2 ) release from storage tanks caused by the opening of pressure relief devices via inexpensive sensor devices in an industrial context. A realistic ...
    • Deep Acoustic Models for Speech Quality Assessment in Children 

      Truyen, Amanda Johanne Thunes (Master thesis, 2024)
      I Norge har økt innvandring ført til høyere etterspørsel etter norskopplæring, særlig for barn i skolealder som trenger å lære seg norsk raskt for å holde tritt med jevnaldrende. Denne avhandlingen utforsker bruken av ...
    • Deep Complex Convolutional Recurrent Network for Multi-Channel Speech Enhancement and Dereverberation 

      Gelderblom, Femke B.; Myrvoll, Tor Andre (Chapter, 2021)
      This paper proposes a neural network based system for multi-channel speech enhancement and dereverberation. Speech recorded indoors by a far field microphone, is invariably degraded by noise and reflections. Recent single ...
    • Deep Learning based Classification of Cardiac Events in Echocardiography 

      Langerud, Maren Andrea (Master thesis, 2022)
      Abstract will be available on 2023-01-29
    • Deep Learning Based FPGA-CPU Acceleration 

      Jalabert, Rodolfo (Master thesis, 2019)
      Formålet med dette prosjektet er å fortsette å utforske nye måter å akselerere sequentialcomputer kode, og finne ut om maskinens læringsteknikker tilgjengelig i dag er i stand til å hjelpe oss med denne oppgaven. Kjerneideen ...