Blar i Institutt for elektroniske systemer på forfatter "Salvo Rossi, Pierluigi"

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    • Activity Recognition To Support Blood Pressure Measurements - A proposed Transfer Learning System 

      Notø, Marcus (Master thesis, 2022)
      Hjerte- og karsykdommer har blitt verdens største helseproblem og er ansvarlig for over 30% av globale dødsfall. En viktig risikofaktor for slike sykdommer er hypertensjon eller oftere kalt høyt blodtrykk. Tradisjonelle ...

    • Bandwidth-constrained Decentralized Detection of an Unknown Vector Signal via Multisensor Fusion 

      Ciuonzo, D; Javadi, S.; Mohammadi, A.; Salvo Rossi, Pierluigi (Peer reviewed; Journal article, 2020)

    • Bayesian Fault Detection and Localization Through Wireless Sensor Networks in Industrial Plants 

      Tabella, Gianluca; Ciuonzo, Domenico; Paltrinieri, Nicola; Salvo Rossi, Pierluigi (Peer reviewed; Journal article, 2024)
      This work proposes a data fusion approach for quickest fault detection and localization within industrial plants via wireless sensor networks. Two approaches are proposed, each exploiting different network architectures. ...

    • Comparative analysis of explainable machine learning prediction models for hospital mortality 

      Stenwig, Eline; Salvi, Giampiero; Salvo Rossi, Pierluigi; Skjaervold, Nils Kristian (Peer reviewed; Journal article, 2022)
      Background Machine learning (ML) holds the promise of becoming an essential tool for utilising the increasing amount of clinical data available for analysis and clinical decision support. However, the lack of trust in ...

    • Comparison of correctly and incorrectly classified patients for in-hospital mortality prediction in the intensive care unit 

      Stenwig, Eline; Salvi, Giampiero; Salvo Rossi, Pierluigi; Skjaervold, Nils Kristian (Peer reviewed; Journal article, 2023)
      Background The use of machine learning is becoming increasingly popular in many disciplines, but there is still an implementation gap of machine learning models in clinical settings. Lack of trust in models is one of ...

    • Computationally-Efficient Structural Health Monitoring using Graph Signal Processing 

      Cheema, Muhammad Asaad; Sarwar, Muhammad Zohaib; Gogineni, Vinay Chakravarthi; Cantero Lauer, Daniel; Salvo Rossi, Pierluigi (Peer reviewed; Journal article, 2024)
      Structural health monitoring (SHM) of bridges is crucial for ensuring safety and long-term durability, however, standard damage-detection algorithms are computationally intensive. This article proposes a computationally ...

    • 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 ...

    • 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 Learning Based People Estimation on 2D Ultra-Wideband Radar Data 

      Nguyen, Christian Danh (Master thesis, 2023)
      Denne masteroppgaven undersøker ytelsen til tre typer maskinlæringsmodeller, Convolutional Neural Network (CNN), Residual Network (ResNet), og Convolutional Neural Network med Gated Recurrent Units (CNN+GRU), i oppgaven ...

    • Distributed Detection in Wireless Sensor Networks under Multiplicative Fading via Generalized Score-tests 

      Ciuonzo, Domenico; Salvo Rossi, Pierluigi; Varshney, Pramod K. (Peer reviewed; Journal article, 2021)
      In this paper, we address the problem of distributed detection of a non-cooperative (unknown emitted signal) target with a Wireless Sensor Network (WSN). When the target is present, sensors observe an (unknown) deterministic ...

    • Emerging Technologies for Digital Twins 

      Storøy, Olav Skadsem (Master thesis, 2023)
      Denne oppgaven utforsker bruken av flere toppmoderne maskinlæringsteknikker for å forbedre implementeringen og verdien av digitale tvillinger. Teknikkene inkluderer Neural Radiance Fields (NeRF), punktskysegmentering, ...

    • Energy Storage Solutions for Offshore Applications 

      Arellano Prieto, Yessica Alexandra; Chavez Panduro, Elvia Anabela; Salvo Rossi, Pierluigi; Finotti, Francesco (Peer reviewed; Journal article, 2022)
      Increased renewable energy production and storage is a key pillar of net-zero emission. The expected growth in the exploitation of offshore renewable energy sources, e.g., wind, provides an opportunity for decarbonising ...

    • Experimental Analysis for Next-Generation Wireless Sensor Networks 

      Melby, Hans (Master thesis, 2017)
      Massive Multiple-Input-Multiple-Output (MIMO) has been outlined as one of the main technologies for achieving the potential in future communication networks. Since its theoretical conception, research activity has grown ...

    • Exploring a Modular Architecture for Sensor Validation in Digital Twins 

      Darvishi, Hossein; Ciuonzo, Domenico; Salvo Rossi, Pierluigi (Peer reviewed; Journal article, 2022)
      Decision-support systems rely on data exchange between digital twins (DTs) and physical twins (PTs). Faulty sensors (e.g, due to hardware/software failures) deliver unreliable data and potentially generate critical damages. ...

    • Feature Selection Based on Principal Component Regression for Underwater Source Localization by Deep Learning 

      Zhu, Xiaoyu; Dong, Hefeng; Salvo Rossi, Pierluigi; Landrø, Martin (Peer reviewed; Journal article, 2021)
      Underwater source localization is an important task, especially for real-time operation. Recently, machine learning methods have been combined with supervised learning schemes. This opens new possibilities for underwater ...

    • Gradient-Descent Adaptive Filtering Using Gradient Adaptive Step-Size 

      Talebi, Sayedpouria; Darvishi, Hossein; Werner, Stefan; Salvo Rossi, Pierluigi (Journal article; Peer reviewed, 2022)
      At the heart of most adaptive filtering techniques lies an iterative statistical optimisation process. These techniques typically depend on adaptation gains, which are scalar parameters that must reside within a region ...

    • IoT Protocol Stack Current Optimizations for the nRF9160 SiP 

      Røstad, Simen Sigurdsen (Master thesis, 2020)
      Denne oppgaven presenterer aktuelle målinger av nRF9160 konfigurert for et ordinært IoT bruksområde. Med optimale strømsparende funksjoner aktivert, er nRF9160 i stand til å konsumere et gjennomsnitt på 267 mC for oppkobling ...

    • IoT-based Monitoring in Carbon Capture and Storage Systems 

      Chawla, Apoorva; Arellano Prieto, Yessica Alexandra; Johansson, Martin Viktor; Darvishi, Hossein; Shaneen, Khadija; Vitali, Matteo; Finotti, Francesco; Salvo Rossi, Pierluigi (Journal article, 2022)
      Carbon capture and storage (CCS) is critical for climate-change policies and strategies targeting global warming within the Paris Agreement. The overarching technological requirements are well described in the strategic ...