• Sound event classification for surveillance applications in parking garage 

  Moen, Marcus (Master thesis, 2022)

  Overvåkningsystemer blir implementert i flere og flere sammenhenger, både til privat og offentlig bruk. Automatiserte overvåkningsystemer grunner seg i dag for det meste på video kameraer og maskinlæringsteknikker basert ...

• Articulatory Inversion for Speech Technology Applications 

  Shahrebabaki, Abdolreza Sabzi (Doctoral theses at NTNU;2022:198, Doctoral thesis, 2022)

  Within the past decades advances in neural networks have improved the performance of a vast area of speech processing applications including the articulatory inversion problem which is concerned with estimating the vocal ...

• Deep Learning based Classification of Cardiac Events in Echocardiography 

  Langerud, Maren Andrea (Master thesis, 2022)

  Abstract will be available on 2023-01-29

• Wireless Video Capsule Endoscopy Prototype Utilizing a Backscatter Transceiver for High Data Rate Transmission 

  Ødegård, Simen Håbet (Master thesis, 2022)

  Kapselendoskopi er en viktig medisinsk applikasjon for sikrere, smertefri og muligens mer nøyaktig påvisning av sykdommer i mage-tarmkanalen, som kreftpolypper i tykktarmen. Trådløs Video Kapselendoskopi (WCE) ble ...

• Onboard Cloud Segmentation for Remote Sensing Applications using Hyperspectral Images 

  Koc, Yunus Emre (Master thesis, 2022)

  Denne oppgaven presenterer arbeidet som er utført for onboard skysegmentering basert på Dyp Læring ved å bruke hyperspektrale fjernmåling bilder for videre bruk på HYPerspectral Smallsat for Ocean observation (HYPSO) ...

• Hyperspectral Imaging Toolbox 

  Aalerud, Elvira (Master thesis, 2022)

  Hyperspectral Imaging Toolbox er et prosesseringsverktøy for hyperspektrale bilder, og er designet for å samle et bredt utvalg algoritmer i én plattform. Applikasjonen er utviklet i MATLAB App Designer, og inneholder ...

• Multiplexed Mach-Zehnder interferometer assisted ring resonator sensor 

  Yadav, Mukesh; Aksnes, Astrid (Peer reviewed; Journal article, 2022)

  A Mach-Zehnder interferometer assisted ring resonator configuration (MARC)-based multiplexed photonic sensor with a large measurement range is experimentally demonstrated. The presented MARC sensor consists of a balanced ...

• Shear-Wave Tomography Using Ocean Ambient Noise with Interference 

  Wu, Guoli; Dong, Hefeng; Ke, Ganpan; Song, Junqiang (Peer reviewed; Journal article, 2020)

  Ambient noise carries abundant subsurface structure information and attracts ever-increasing attention in the past decades. However, there are lots of interference factors in the ambient noise in the real world, making the ...

• Securing Next Generation Multinodal Leadless Cardiac Pacemaker System: A Proof of Concept in a Single Animal 

  Awan, Muhammad Faheem; Cordero, Rafael; Kansanen, Kimmo; Feuerstein, Delphine (Peer reviewed; Journal article, 2020)

  As the next generation of implanted medical devices for cardiac rhythm management moves towards multi-nodal leadless systems that do without the limitations of transvenous leads, new security threats arise from the wireless ...

• Carbon Nanotube Detectors and Spectrometers for the Terahertz Range 

  Park, Junsung; Liu, Xueqing; Ytterdal, Trond; Shur, Michael S. (Peer reviewed; Journal article, 2020)

  We present the compact unified charge control model (UCCM) for carbon nanotube field-effect transistors (CNTFETs) to enable the accurate simulation of the DC characteristics and plasmonic terahertz (THz) response in the ...

• Plasmonic FET Terahertz Spectrometer 

  Liu, Xueqing; Ytterdal, Trond; Shur, Michael S. (Peer reviewed; Journal article, 2020)

  We show that Si MOSFETs, AlGaN/GaN HEMTs, AlGaAs/InGaAs HEMTs, and p-diamond FETs with feature sizes ranging from 20 nm to 130 nm could operate at room temperature as THz spectrometers in the frequency range from 110 GHz ...

• Record thermopower found in an IrMn-based spintronic stack 

  Tu, Sa; Ziman, Timothy; Yu, Guoqiang; Wan, Caihua; Hu, Junfeng; Wu, Hao; Wang, Hanchen; Liu, Mengchao; Liu, Chuanpu; Guo, Chenyang; Zhang, Jianyu; Cabero Z., Marco A.; Zhang, Youguang; Gao, Peng; Liu, Song; Yu, Dapeng; Han, Xiufeng; Hallsteinsen, Ingrid; Gilbert, Dustin A.; Matsuo, Mamoru; Ohnuma, Yuichi; Wölfle, Peter; Wang, Kang L.; Ansermet, Jean-Philippe; Maekawa, Sadamichi; Yu, Haiming (Peer reviewed; Journal article, 2020)

  The Seebeck effect converts thermal gradients into electricity. As an approach to power technologies in the current Internet-of-Things era, on-chip energy harvesting is highly attractive, and to be effective, demands thin ...

• Patient specific strategies to enhance leadless pacemaker lifetime in synchronized dual chamber system 

  Palaksha, Deepak; Kansanen, Kimmo; Filippo, Ziglio; Bergsland, Jacob; Balasingham, Ilangko; Feuerstein, Delphine (Peer reviewed; Journal article, 2020)

  Dual chamber leadless pacemakers are multi-unit, battery-driven implants utilized for treating patients with bradyarrhythmias and sino-atrial dysfunctions. Establishing synchronization between the units provides coordination ...

• In-orbit Radio Measurements using Software-Defined Radios in Small Satellites 

  Diaz, Gara Quintana (Doctoral theses at NTNU;2022:117, Doctoral thesis, 2022)

• Privacy-Preserved Distributed Learning With Zeroth-Order Optimization 

  Gratton, Cristiano; Kumar Dasanadoddi Venkategowda, Naveen; Arablouei, Reza; Werner, Stefan (Peer reviewed; Journal article, 2022)

  We develop a privacy-preserving distributed algorithm to minimize a regularized empirical risk function when the first-order information is not available and data is distributed over a multi-agent network. We employ a ...

• Next generation geophysical sensing: exploring a new wave of geophysical technologies for the energy transition 

  Ringrose, Philip; Landrø, Martin; Potter, John; Eidsvik, Jo; Wienecke, Susann; Bouffaut, Léa; Oye, Volker; Dong, Hefeng; Elster, Anne C.; Johansen, Ståle Emil (Peer reviewed; Journal article, 2021)

• Sensor Technology Options for Municipal Solid Waste Characterization for Optimal Operation of Waste-to-Energy Plants 

  Muri, Harald Ian; Hjelme, Dag Roar (Peer reviewed; Journal article, 2021)

  Reuse, refurbishing, and recycling are the most sustainable options for handling waste materials. However, for municipal solid waste (MSW) that is highly heterogenic, crude, contaminated, and decrepit, thermal conversion ...

• Comparing objective and subjective measures of quality on a machine learning based foreground extractor 

  Paulsen, Peter Remøy (Master thesis, 2022)

  Dei siste tiåra har tradisjonelle TV-sjåartal gått nedover. AdMiRe-prosjektet skal prøve å overvinne dette ved å gjere det enklare å lage meir engasjerande TV. Dette skal gjerast ved å forenkle nøkkel-teknologimodular, og ...

• Graphene-Based Transparent Conducting Substrates for GaN/AlGaN Nanocolumn Flip-Chip Ultraviolet Light-Emitting Diodes 

  Liudi Mulyo, Andreas; Mukherjee, Anjan; Høiaas, Ida Marie; Ahtapodov, Lyubomir; Nilsen, Tron Arne; Toftevaag, Håvard Hem; Vullum, Per Erik; Kishino, Katsumi; Weman, Helge; Fimland, Bjørn-Ove (Journal article; Peer reviewed, 2021)

  Flip-chip ultraviolet light-emitting diodes based on self-assembled GaN/AlGaN nanocolumns have been fabricated, exploiting single-layer graphene not only as a growth substrate but also as a transparent conducting electrode. ...

• Methods for Finite Massive MIMO Analysis 

  Abraham, Jens (Doctoral thesis, 2022)

  Massive MIMO is a core technology for 5G cellular networks, that matured from a concept to commercial implementations over the last decade. It uses large-scale antenna systems to provide unprecedented access to the spatial ...

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