Vitenskapelige publikasjoner (TN-IDE): Nye registreringer

Viser treff 21-40 av 242

    • 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 ...

    • MRI data-driven clustering reveals different subtypes of Dementia with Lewy bodies 

      Inguanzo, Anna; Poulakis, Konstantinos; Mohanty, Rosaleena; Schwarz, Christopher G.; Przybelski, Scott A.; Diaz-Galvan, Patricia; Lowe, Val J.; Boeve, Bradley F.; Lemstra, Afina W.; van de Beek, Marleen; van der Flier, Wiesje; Barkhof, Frederik; Blanc, Frederic; Loureiro de Sousa, Paulo; Philippi, Nathalie; Cretin, Benjamin; Demuynck, Catherine; Nedelska, Zuzana; Hort, Jakub; Segura, Barbara; Junque, Carme; Oppedal, Ketil; Aarsland, Dag; Westman, Eric; Kantarci, Kejal; Ferreira, Daniel (Peer reviewed; Journal article, 2023)
      Dementia with Lewy bodies (DLB) is a neurodegenerative disorder with a wide heterogeneity of symptoms, which suggests the existence of different subtypes. We used data-driven analysis of magnetic resonance imaging (MRI) ...

    • Kernel recursive least squares dictionary learning algorithm 

      Alipoor, Ghasem; Skretting, Karl (Peer reviewed; Journal article, 2023)
      An online dictionary learning algorithm for kernel sparse representation is developed in the current paper. In this framework, the input signal nonlinearly mapped into the feature space is sparsely represented based on a ...

    • Recurrent Neural Networks for Artifact Correction in HRV Data During Physical Exercise 

      Svane, Jakob; Wiktorski, Tomasz; Ørn, Stein; Eftestøl, Trygve Christian (Peer reviewed; Journal article, 2023)
      In this paper, we propose the use of recurrent neural networks (RNNs) for artifact correction and analysis of heart rate variability (HRV) data. HRV can be a valuable metric for determining the function of the heart and ...

    • A Low-Cost Wireless Body Area Network for Human Activity Recognition in Healthy Life and Medical Applications 

      Demrozi, Florenc (Peer reviewed; Journal article, 2023)
      Moved by the necessity, also related to the ongoing COVID-19 pandemic, of the design of innovative solutions in the context of digital health, and digital medicine, Wireless Body Area Networks (WBANs) are more and more ...

    • Resource Allocation in Networking and Computing Systems: A Security and Dependability Perspective 

      Khan, Md Muhidul Islam; Nencioni, Gianfranco (Peer reviewed; Journal article, 2023)
      In recent years, there has been a trend to integrate networking and computing systems, whose management is getting increasingly complex. Resource allocation is one of the crucial aspects of managing such systems and is ...

    • Prostate Age Gap: An MRI Surrogate Marker of Aging for Prostate Cancer Detection 

      Fernandez Quilez, Alvaro; Nordström, Jon Tobias; Jäderling, Fredrik; Kjosavik, Svein Reidar; Eklund, Martin (Peer reviewed; Journal article, 2023)
      Background Aging is the most important risk factor for prostate cancer (PC). Imaging techniques can be useful to measure age-related changes associated with the transition to diverse pathological states. However, biomarkers ...

    • Making sense of nonsense : Integrated gradient-based input reduction to improve recall for check-worthy claim detection 

      Sheikhi, Ghazaal; Opdahl, Andreas Lothe; Touileb, Samia; Setty, Vinay (CEUR Workshop Proceedings;, Chapter, 2023)
      Analysing long text documents of political discourse to identify check-worthy claims (claim detection) is known to be an important task in automated fact-checking systems, as it saves the precious time of fact-checkers, ...

    • Mitigating non-linear DAC glitches using dither in closed-loop nano-positioning applications 

      Faza, Ahmad Mohammad Ahmad; Leth, John; Eielsen, Arnfinn Aas (American Control COnference (ACC);, Chapter, 2023)
      Digital-to-analog conversion is essential in digital signal processing applications, including closed-loop control schemes. Noise and distortion in digital-to-analog converters result in reduced performance for high-precision ...

    • Detection and localization of melanoma skin cancer in histopathological whole slide images 

      Kanwal, Neel; Amundsen, Roger; Hardardottir, Helga; Tomasetti, Luca; Undersrud, Erling Sandøy; Janssen, Emiel; Engan, Kjersti (European Signal Processing Conference;, Chapter; Conference object, 2023)
      If melanoma is diagnosed and treated in its early stages can increase the survival rate. A projected increase in skin cancer incidents and a shortage of dermatopathologists have emphasized the need for computational pathology ...

    • An XAI approach for COVID-19 detection using transfer learning with X-ray images 

      Sarp, Salih; Catak, Ferhat Özgur; Kuzlu, Murat; Cali, Umit; Kusetogullari, Huseyin; Zhao, Yanxiao; Guler, Ozgur (Peer reviewed; Journal article, 2023-04)
      The coronavirus disease (COVID-19) has continued to cause severe challenges during this unprecedented time, affecting every part of daily life in terms of health, economics, and social development. There is an increasing ...