Browsing Fakultet for informasjonsteknologi og elektroteknikk (IE) by Journals "IEEE Access"

Now showing items 61-80 of 208

    • Developments and Challenges in Local Electricity Markets: A Comprehensive Review 

      Bjarghov, Sigurd; Löschenbrand, Markus; Ibn Saif, A.U.N.; Pedrero, Raquel Alonso; Pfeiffer, Christian; Khadem, Shafiuzzaman K.; Rabelhofer, Marion; Revheim, Frida Huglen; Farahmand, Hossein (Journal article; Peer reviewed, 2021)
      In recent years, power systems have undergone changes in technology and definition of the associated stakeholders. With the increase in distributed renewable generation and small- to medium-sized consumers starting to ...

    • Differential Privacy Preservation in Robust Continual Learning 

      Hassanpour, Ahmad; Moradikia, Majid; Yang, Bian; Abdelhadi, Ahmed; Busch, Christoph; Fierrez, Julian (Peer reviewed; Journal article, 2022)
      Enhancing the privacy of machine learning (ML) algorithms has become crucial with the presence of different types of attacks on AI applications. Continual learning (CL) is a branch of ML with the aim of learning a set of ...

    • Digital Twin-Driven Actuator Fault Diagnosis for Autonomous Surface Vehicles 

      Bhagavathi, Ravitej; Kufoalor, Giorgio Minde; Hasan, Agus Ismail (Journal article; Peer reviewed, 2023)
      This paper presents a digital twin-driven fault diagnosis approach based on a graphical model and an adaptive extended Kalman filter algorithm for autonomous surface vehicles. In contrast with the traditional adaptive ...

    • Digital Twin: Values, Challenges and Enablers from a modelling perspective 

      Rasheed, Adil; San, Omer; Kvamsdal, Trond (Journal article; Peer reviewed, 2020)
      Digital twin can be defined as a virtual representation of a physical asset enabled through data and simulators for real-time prediction, optimization, monitoring, controlling, and improved decision making. Recent advances ...

    • Digital Twins in Wind Energy: Emerging Technologies and Industry-Informed Future Directions 

      Stadtmann, Florian; Rasheed, Adil; Kvamsdal, Trond; Johannessen, Kjetil Andre; San, Omer; Kölle, Konstanze; Tande, John Olav Giæver; Barstad, Idar; Benhamou, Alexis; Brathaug, Thomas; Christiansen, Tore; Firle, Anouk-Letizia; Fjeldly, Alexander; Frøyd, Lars; Gleim, Alexander; Høiberget, Alexander; Meissner, Catherine; Nygård, Guttorm; Olsen, Jørgen; Paulshus, Håvard; Rasmussen, Tore; Rishoff, Elling; Scibilia, Francesco; Skogås, John Olav (Peer reviewed; Journal article, 2023)

    • Distributed Control and Optimization of DC Microgrids: A Port-Hamiltonian Approach 

      Abdolmaleki, Babak; Bergna-Diaz, Gilbert (Peer reviewed; Journal article, 2022)
      This article proposes a distributed secondary control scheme that drives a dc microgrid to an equilibrium point where the generators share optimal currents, and their voltages have a weighted average of nominal value. The ...

    • DT-CP: A Double-TTPs Based Contract-signing Protocol with Lower Computational Cost 

      Xu, Guangquan; Zhang, Yao; Jiao, Litao; Panaousis, Emmanouil; Liang, Kaitai; Wang, Hao; Li, Xiaotong (Journal article; Peer reviewed, 2019)
      This paper characterizes a contract signing protocol with high efficiency in Internet of Things. Recent studies show that existing contract-signing protocols can achieve abuse-freeness and resist inference attack, but ...

    • A Dual-Source Self-Balanced Switched-Capacitor Reduced Switch Multilevel Inverter With Extending Ability 

      Panda, Kaibalya Prasad; Bana, Prabhat Ranjan; Naayagi, R.T.; Panda, Gayadhar (Peer reviewed; Journal article, 2022)
      Multilevel inverters (MLIs) with switched-capacitor (SC) combinations are widely recognized to improve the power quality and efficiency of the renewable energy and high-frequency power distribution systems. Self-balancing ...

    • A Dynamic Three-Bit Image Steganography Algorithm for Medical and e-Healthcare Systems 

      Siddiqui, Ghazanfar Farooq; Iqbal, Zafar; Saleem, Khalid; Saeed, Zafar; Ahmed, Adeel; Hameed, Ibrahim A.; Khan, Muhammad Fahad (Peer reviewed; Journal article, 2020)
      Massive advances in internet infrastructure are impacting e-healthcare services compared to conventional means. Therefore, extra care and protection is needed for extremely confidential patient medical records. With this ...

    • E2F-GAN: Eyes-to-Face Inpainting via Edge-Aware Coarse-to-Fine GANs 

      Hassanpour, Ahmad; Daryani, Amir Etefaghi; Mirmahdi, Mahdieh; Raja, Kiran; Yang, Bian; Busch, Christoph; Fierrez, Julian (Peer reviewed; Journal article, 2022)
      Face inpainting is a challenging task aiming to fill the damaged or masked regions in face images with plausibly synthesized contents. Based on the given information, the reconstructed regions should look realistic and ...

    • EchoBERT: A Transformer-Based Approach for Behavior Detection in Echograms 

      Måløy, Håkon (Journal article; Peer reviewed, 2020)

    • Effect of Communication Failures on State Estimation of 5G-Enabled Smart Grid 

      Zerihun, Tesfaye Amare; Garau, Michele; Helvik, Bjarne Emil (Peer reviewed; Journal article, 2020)
      Information and Communication Technologies (ICT), Wide Area Measurement Systems (WAMS) and state estimation represent the key-tools for achieving a reliable and accurate knowledge of the power grid, and represent the ...

    • Electronic Navigational Charts for Visualization, Simulation, and Autonomous Ship Control 

      Blindheim, Simon; Johansen, Tor Arne (Peer reviewed; Journal article, 2021)
      Autonomous control and high-level decision-making for autonomous ships in complex environments are largely dependent on real-time navigational data from sensory systems and nautical charts. Visualization and manipulation ...

    • Enabling the Internet of Arctic Things with Freely-Drifting Small-Satellite Swarms 

      Palma, David; Birkeland, Roger (Journal article; Peer reviewed, 2018)
      The widespread deployment of Internet-capable devices, also known as the Internet of Things (IoT), reaches even the most remote areas of the planet, including the Arctic. However, and despite the vast scientific and economic ...

    • Engineering Photonic Transmission Inside Brain Nerve Fibers 

      Maghoul, Amir; Khaleghi, Ali; Balasingham, Ilangko (Journal article; Peer reviewed, 2021)

    • Evaluating Object (Mis)Detection From a Safety and Reliability Perspective: Discussion and Measures 

      Ceccarelli, Andrea; Montecchi, Leonardo (Peer reviewed; Journal article, 2023)
      We argue that object detectors in the safety critical domain should prioritize detection of objects that are most likely to interfere with the actions of the autonomous actor. Especially, this applies to objects that can ...

    • Evaluating Top-N Recommendations Using Ranked Error Approach: An Empirical Analysis 

      Aftab, Sofia; Ramampiaro, Heri (Peer reviewed; Journal article, 2022)
      Evaluation metrics or measures are necessary tools for evaluating and choosing the most appropriate modeling approaches within recommender systems. However, evaluation measures can sometimes fall short when evaluating ...

    • Evaluation of data telemetry for future leadless cardiac pacemaker 

      Bose, Pritam; Khaleghi, Ali; Mahmood, Salman; Albatat, Mohammad; Bergsland, Jacob; Balasingham, Ilangko (Journal article; Peer reviewed, 2019)
      Multi-node leadless pacemaker system overcomes the main limitations related to lead complications of the conventional cardiac pacemaker and will thus replace them in the near future. The multiple nodes of the technology ...

    • Evaluation of Handwritten Urdu Text by Integration of MNIST Dataset Learning Experience 

      Bin Ahmed, Saad; Hameed, Ibrahim A.; Naz, Saeeda; Imran Razzak, Muhammad; Yusof, Rubiyah (Journal article; Peer reviewed, 2019)
      The similar nature of patterns may enhance the learning if the experience they attained during training is utilized to achieve maximum accuracy. This paper presents a novel way to exploit the transfer learning experience ...

    • Evaluation of Ten Open-Source Eye-Movement Classification Algorithms in Simulated Surgical Scenarios 

      Menekse Dalveren, Gonca Gokce; Cagiltay, Nergiz Ercil (Journal article; Peer reviewed, 2019)
      Despite providing several insights into visual attention and evidence regarding certain brain states and psychological functions, classifying eye movements is a highly demanding process. Currently, there are several ...