Blar i Fakultet for informasjonsteknologi og elektroteknikk (IE) på tidsskrift "IEEE Access"
Viser treff 1-20 av 207
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3D Reconstruction of Gastrointestinal Regions Using Single-View Methods
(Peer reviewed; Journal article, 2023)Capsule endoscopy is about to become an alternative to traditional colonoscopy. One uses a wireless camera to visualize the gastrointestinal (GI) tract. A 3D model based on image sequences obtained from wireless capsule ... -
A Language and Platform Independent Co-Simulation Framework Based on the Functional Mock-Up Interface
(Journal article; Peer reviewed, 2019)The main goal of the Functional Mock-up Interface (FMI) standard is to allow the sharing of simulation models across tools. To accomplish this, FMI relies on a combination of XML-files and compiled C-code packaged in a zip ... -
A Novel Algorithm for Estimating Purchase Incentive of The Public Based on Mobile Cloud Computing
(Journal article; Peer reviewed, 2019)Mobile Cloud Computing provides applications of cloud computing technology on mobile internet. In the era of 5G networks, Mobile Cloud Computing offers the possibility of heavy computational in parallel through different ... -
A Sanitization Approach to Secure Shared Data in an IoT Environment
(Journal article; Peer reviewed, 2019)Internet of Things (IoT) supports high flexibility and convenience in several applications because the IoT devices continuously transfer, share, and exchange data without human intervention. During shared or exchanged ... -
A Self-Adaptive Process Mining Algorithm Based on Information Entropy to Deal with Uncertain Data
(Journal article; Peer reviewed, 2019)Process mining is a technology to gain knowledge of the business process by using the event logs and achieve a model of the process, which contributes to the detection and improvement of the business process. However, most ... -
A Survey of Deep Learning Techniques: Application in Wind and Solar Energy Resources
(Journal article; Peer reviewed, 2019)Nowadays, learning-based modeling system is adopted to establish an accurate prediction model for renewable energy resources. Computational Intelligence (CI) methods have become significant tools in production and optimization ... -
A Survey of Stereoscopic 3D Just Noticeable Difference Models
(Journal article; Peer reviewed, 2019)Just noticeable difference (JND) for stereoscopic 3D content reflects the maximum tolerable distortion; it corresponds to the visibility threshold of the asymmetric distortions in the left and right contents. The 3D-JND ... -
A Survey on Urban Traffic Anomalies Detection Algorithms
(Journal article; Peer reviewed, 2019)This paper reviews the use of outlier detection approaches in urban traffic analysis. We divide existing solutions into two main categories: flow outlier detection and trajectory outlier detection. The first category groups ... -
Abnormal Colon Polyp Image Synthesis Using Conditional Adversarial Networks for Improved Detection Performance
(Journal article; Peer reviewed, 2018)One of the major obstacles in automatic polyp detection during colonoscopy is the lack of labeled polyp training images. In this paper, we propose a framework of conditional adversarial networks to increase the number of ... -
Adapted k-Nearest Neighbors for Detecting Anomalies on Spatio-Temporal Traffic Flow
(Journal article; Peer reviewed, 2019)Outlier detection is an extensive research area, which has been intensively studied in several domains such as biological sciences, medical diagnosis, surveillance, and traffic anomaly detection. This paper explores advances ... -
Advancing Fake News Detection: Hybrid Deep Learning With FastText and Explainable AI
(Peer reviewed; Journal article, 2024)The widespread propagation of misinformation on social media platforms poses a significant concern, prompting substantial endeavors within the research community to develop robust detection solutions. Individuals often ... -
Advancing Fake News Detection: Hybrid Deep Learning With FastText and Explainable AI
(Journal article; Peer reviewed, 2024)The widespread propagation of misinformation on social media platforms poses a significant concern, prompting substantial endeavors within the research community to develop robust detection solutions. Individuals often ... -
Adversarial Attacks against Face Recognition: A Comprehensive Study
(Peer reviewed; Journal article, 2021)Face recognition (FR) systems have demonstrated reliable verification performance, suggesting suitability for real-world applications ranging from photo tagging in social media to automated border control (ABC). In an ... -
Allocation of Spinning Reserves in Autonomous Grids Considering Frequency Stability Constraints and Short-Term Solar Power Variations
(Peer reviewed; Journal article, 2023)Low-inertia, isolated power systems face the problem of resiliency to active power variations. The integration of variable renewable energy sources, such as wind and solar photovoltaic, pushes the boundaries of this issue ... -
An Amplitude-Phase Representation of the North-East-Down Kinematic Differential Equations
(Peer reviewed; Journal article, 2023)The overall goal of the paper is to derive a kinematic model for vehicle path-following systems, where the pitch and yaw angles (θ,ψ) together with the surge velocity u can be treated as control inputs. Then the outer ... -
Analog Backscatter Video Transmission for Wireless Capsule Endoscope
(Journal article; Peer reviewed, 2023) -
An Approach for Optimal Pre-Conditioning of the Analytical Field Solution of Slotless PM Machines
(Peer reviewed; Journal article, 2021)Analytical modeling of electrical machines has the advantage of remarkable computational efficiency when compared with finite element analysis (FEA). This is especially important for slotless topologies, as they are well ... -
Artificial intelligence-driven digital twin of a modern house demonstrated in virtual reality
(Peer reviewed; Journal article, 2023)A digital twin is a powerful tool that can help monitor and optimize physical assets in real-time. Simply put, it is a virtual representation of a physical asset, enabled through data and simulators, that can be used for ... -
Assessing High-Order Harmonic Resonance in Locomotive-Network Based on the Impedance Method
(Journal article; Peer reviewed, 2019)Many new types of locomotives are put to use in electric railway systems, resulting in instability problems such as high-order harmonic resonance occurring as a consequence of the interaction between the electrical locomotive ... -
Assessment of the Distributed Ledger Technology for Energy Sector Industrial and Operational Applications Using the MITRE ATT&CK® ICS Matrix
(Peer reviewed; Journal article, 2023)In recent times, Distributed Ledger Technology (DLT) has gained significant attention for its potential application in the energy sector. Utilizing blockchain and DLT has demonstrated the ability to enhance the resilience ...