Viser treff 21-40 av 251

    • Design of switching state-feedback controllers for linear systems subject to asymmetric saturations 

      Ruiz, Adrián; Rotondo, Damiano; Morcego, Bernardo (Peer reviewed; Journal article, 2023)
      This paper considers the problem of controlling a linear system affected by asymmetrical input saturation. The proposed solution is based on using a linear matrix inequality (LMI)-based methodology to find the gains of a ...
    • Event-triggered fault-tolerant leader-following control for homogeneous multi-agent systems 

      Vazquez Trejo, Juan Antonio; Chadli, Mohammed; Rotondo, Damiano; Adam Medina, Manuel; Theilliol, Didier (Peer reviewed; Journal article, 2022)
      In this paper, the design of an event-triggered fault-tolerant control for leader-following consensus in multi-agent systems subject to actuator faults is presented. The problem under consideration is to reduce the control ...
    • The Weighted Kalman Filter 

      Rotondo, Damiano (Peer reviewed; Journal article, 2023)
      This paper proposes a new version of the Kalman filter, referred to as weighted Kalman filter (WKF). In the WKF some recent results on the weighted linearization of nonlinear systems are exploited to incorporate modifications ...
    • Impact of extent of resection on outcome from glioblastoma using the RANO resect group classification system: a retrospective, population-based cohort study 

      Bjorland, Line; Mahesparan, Rupavathana; Fluge, Øystein; Gilje, Bjørnar; Kurz, Kathinka Dæhli; Farbu, Elisabeth (Peer reviewed; Journal article, 2023)
      Background Extent of resection (EOR) is associated with survival in glioblastoma. A standardized classification for EOR was lacking until a system was recently proposed by the response assessment in neuro-oncology (RANO) ...
    • Automatic analysis of X (Twitter) data for supporting depression diagnosis 

      Królak, Aleksandra; Wiktorski, Tomasz; Żmudzińska, Aleksandra (Peer reviewed; Journal article, 2023-12)
      Depression is an increasingly common problem that often goes undiagnosed. The aim of this paper was to determine whether an analysis of tweets can serve as a proxy for assessing depression levels in the society. The work ...
    • Learning Parameterized ODEs From Data 

      Li, Qing; Evje, Steinar; Geng, Jiahui (Peer reviewed; Journal article, 2023)
      In contemporary research, neural networks are being used to derive Ordinary Differential Equations (ODEs) from observations. However, parameterized ODEs pose a more significant challenge than non-parameterized ODEs since ...
    • ARTICONF decentralized social media platform for democratic crowd journalism 

      Rito Lima, Inês; Filipe, Vasco; Marinho, Claudia; Ulisses, Alexandre; Chakravorty, Antorweep; Hristov, Atanas; Saurabh, Nishant; Zhao, Zhiming; Xin, Ruyue; Prodan, Radu (Peer reviewed; Journal article, 2023)
      Media production and consumption behaviors are changing in response to new technologies and demands, giving birth to a new generation of social applications. Among them, crowd journalism represents a novel way of constructing ...
    • Vision transformers for small histological datasets learned through knowledge distillation 

      Kanwal, Neel; Eftestøl, Trygve Christian; Khoraminia, Farbod; Zuiverloon, Tahlita C M; Engan, Kjersti (Chapter, 2023)
      Computational Pathology (CPATH) systems have the potential to automate diagnostic tasks. However, the artifacts on the digitized histological glass slides, known as Whole Slide Images (WSIs), may hamper the overall performance ...
    • Availability model of a 5G-MEC system 

      Pathirana, Thilina Dhanushka Kalahe; Nencioni, Gianfranco (Chapter, 2023)
      Multi-access Edge Computing (MEC) is one of the enabling technologies of the fifth generation (5G) of mobile networks. MEC enables services with strict latency requirements by bringing computing capabilities close to the ...
    • Analysis of Machine Learning Based Imputation of Missing Data 

      Rizvi, Syed Tahir Hussain; Latif, Muhammad Yasir; Amin, Muhammad Saad; Telmoudi, Achraf Jabeur; Shah, Nasir Ali (Peer reviewed; Journal article, 2023)
      Data analysis and classification can be affected by the availability of missing data in datasets. To deal with missing data, either deletion- or imputation-based methods are used that result in the reduction of data records ...
    • MigraMEC: Hybrid Testbed for MEC App Migration 

      Wadatkar, Prachi Vinod; Garroppo, Rosario G.; Nencioni, Gianfranco (Chapter, 2023)
      Multi-access Edge Computing (MEC) enhances the capabilities of 5G by enabling the computation closer to the end-user for real-time and context-aware services. One of the main challenges of MEC is the migration of the MEC ...
    • Joint multi-objective MEH selection and traffic path computation in 5G-MEC systems 

      Wadatkar, Prachi Vinod; Garroppo, Rosario G.; Nencioni, Gianfranco; Volpi, Marco (Peer reviewed; Journal article, 2024)
      Multi-access Edge Computing (MEC) is an emerging technology that allows to reduce the service latency and traffic congestion and to enable cloud offloading and context awareness. MEC consists in deploying computing devices, ...
    • Evaluation Study of Inertial Positioning in Road Tunnels for Cooperative ITS Applications 

      Martin Rodriguez, Aitor; Khademi, Naeem (Peer reviewed; Journal article, 2023)
      Global Navigation Satellite Systems (GNSS) are unreliable positioning sources in road tunnels, as the satellite signals are unable to reach deep inside the tunnels. As innovative technologies emerge within the transportation ...
    • Revenue-Model Learning for a Slice Broker in the Presence of Adversaries 

      Khan, Md Muhidul Islam; Nencioni, Gianfranco (Chapter, 2023)
      Multi-Access Edge Computing (MEC) and network slicing two of the key enabling technologies of the Fifth Generation (5G) of cellular network. MEC helps to reduce latency, offload the cloud, and allow context-awareness. ...
    • Revenue Maximization of a Slice Broker in the Presence of Byzantine Faults 

      Khan, Md Muhidul Islam; Nencioni, Gianfranco (Chapter, 2023)
      Multi-Access Edge Computing (MEC) and network slicing are vital for advancing the Fifth Generation (5G) of cellular systems. MEC provides context awareness and reduces the latency for communication. Network slicing allows ...
    • CT Perfusion is All We Need: 4D CNN Segmentation of Penumbra and Core in Patients With Suspected Acute Ischemic Stroke 

      Tomasetti, Luca; Engan, Kjersti; Høllesli, Liv Jorunn; Kurz, Kathinka Dæhli; Khanmohammadi, Mahdieh (Peer reviewed; Journal article, 2023)
      Stroke is the second leading cause of death worldwide, and around 87 % of strokes are ischemic strokes. Accurate and rapid prediction techniques for identifying ischemic regions, including dead tissue (core) and potentially ...
    • Modelling and Design of Pre-Equalizers for a Fully Operational Visible Light Communication System 

      Bostanoglu, Murat; Dalveren, Yaser; Catak, Ferhat Özgur; Kara, Ali (Peer reviewed; Journal article, 2023-06)
      Nowadays, Visible Light Communication (VLC) has gained much attention due to the significant advancements in Light Emitting Diode (LED) technology. However, the bandwidth of LEDs is one of the important concerns that limits ...
    • Quantification of perineural satellitosis in pretreatment glioblastoma with structural MRI and a diffusion tensor imaging template 

      van den Elshout, Rik; Ariëns, Benthe; Blaauboer, Joost; Meijer, Frederick J A; van der Kolk, Anja G; Esmaeili, Morteza; Scheenen, Tom W J; Henssen, Dylan J H A (Peer reviewed; Journal article, 2023)
      Background Survival outcomes for glioblastoma (GBM) patients remain unfavorable, and tumor recurrence is often observed. Understanding the radiological growth patterns of GBM could aid in improving outcomes. This study ...
    • Resource allocation for cost minimization of a slice broker in a 5G-MEC scenario 

      Sarah, Annisa; Nencioni, Gianfranco (Peer reviewed; Journal article, 2023-11)
      The fifth generation (5G) of mobile networks may offer a custom logical and virtualized network called network slicing. This virtualization opens a new opportunity to share infrastructure resources and encourage cooperation ...
    • Deployment and Implementation Aspects of Radio Frequency Fingerprinting in Cybersecurity of Smart Grids 

      Awan, Maaz Ali; Dalveren, Yaser; Catak, Ferhat Özgur; Kara, Ali (Peer reviewed; Journal article, 2023)
      Smart grids incorporate diverse power equipment used for energy optimization in intelligent cities. This equipment may use Internet of Things (IoT) devices and services in the future. To ensure stable operation of smart ...