Browsing NTNU Open by Journals "IEEE Access"
Now showing items 61-80 of 254
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Cross-Modality Guided Contrast Enhancement for Improved Liver Tumor Image Segmentation
(Journal article; Peer reviewed, 2021) -
Cyber Risk Perception in the Maritime Domain: A Systematic Literature Review
(Peer reviewed; Journal article, 2021)This paper aims to present an approach to investigate cyber risk perception with use of recognized psychological models, and to give an overview of state-of-the-art research within the field of cyber risk perception in ... -
Data Aided Channel Estimation for MIMO-OFDM Wireless Systems Using Reliable Carriers
(Peer reviewed; Journal article, 2023)Wireless channel estimation is one of the challenging problems in multiple input multiple output orthogonal frequency division multiplexing (MIMO-OFDM) wireless systems. The MIMO-OFDM exploits the spatial resources and ... -
Data Aided Channel Estimation for MIMO-OFDM Wireless Systems Using Reliable Carriers
(Peer reviewed; Journal article, 2023)Wireless channel estimation is one of the challenging problems in multiple input multiple output orthogonal frequency division multiplexing (MIMO-OFDM) wireless systems. The MIMO-OFDM exploits the spatial resources and ... -
Decentralized Control of Voltage- and Current-Controlled Converters Based on AC Bus Signaling for Autonomous Microgrids
(Peer reviewed; Journal article, 2020)This paper proposes a fully decentralized control approach, based on AC bus signaling, to integrate the operation of voltage- and current-controlled converters that exist in an isolated low-voltage microgrid, so they may ... -
Deep Composite Face Image Attacks: Generation, Vulnerability and Detection
(Peer reviewed; Journal article, 2023)Face manipulation attacks have drawn the attention of biometric researchers because of their vulnerability to Face Recognition Systems (FRS). This paper proposes a novel scheme to generate Composite Face Image Attacks ... -
Deep Contextual Grid Triplet Network for Context-Aware Recommendation
(Peer reviewed; Journal article, 2023)Modeling contextual information is a vital part of developing effective recommender systems. Still, existing work on recommendation algorithms has generally put limited focus on the effective treatment of contextual ... -
Deep Face Age Progression: A Survey
(Peer reviewed; Journal article, 2021) -
Defensive Distillation-based Adversarial Attack Mitigation Method for Channel Estimation using Deep Learning Models in Next-Generation Wireless Networks
(Peer reviewed; Journal article, 2022)Future wireless networks (5G and beyond), also known as Next Generation or NextG, are the vision of forthcoming cellular systems, connecting billions of devices and people together. In the last decades, cellular networks ... -
Delay and Delay-Constrained Throughput Performance of a Wireless-Powered Communication System
(Journal article; Peer reviewed, 2017)In this paper, the delay and delay-constrained throughput performance of a point-to-point wireless-powered communication system is investigated. In this system, the wireless-powered node, e.g., a user equipment (UE), ... -
Detecting Latent Topics and Trends in Software Engineering Research Since 1980 Using Probabilistic Topic Modeling
(Peer reviewed; Journal article, 2022)The landscape of software engineering research has changed significantly from one year to the next in line with industrial needs and trends. Therefore, today’s research literature on software engineering has a rich and ... -
Detection and Classification of Moving Vehicle From Video Using Multiple Spatio-Temporal Features
(Journal article; Peer reviewed, 2019)The information acquisition and automatic processing technology based on visual surveillance sensors in intelligent transportation system (ITS) has become an important application field of computer vision technology. The ... -
Development and Experimental Validation of Visual-Inertial Navigation for Auto-Docking of Unmanned Surface Vehicles
(Peer reviewed; Journal article, 2023)Docking is a safety-critical operation for autonomous surface vehicles and requires highly accurate navigation signals. Since Global Navigation Satellite Systems (GNSS) can be unreliable and inaccurate in urban environments, ... -
Developments and Challenges in Local Electricity Markets: A Comprehensive Review
(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
(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
(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
(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
(Peer reviewed; Journal article, 2023) -
Distributed Control and Optimization of DC Microgrids: A Port-Hamiltonian Approach
(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 ... -
Disturbance rejection by acceleration feedforward for marine surface vessels
(Journal article; Peer reviewed, 2016)Acceleration signals have a powerful disturbance rejection potential in rigid body motion control, as they carry a measure proportional to the resulting force. Yet, they are seldom used, since measuring, decoupling, and ...