Blar i Publikasjoner fra CRIStin - NTNU på tidsskrift "IEEE Access"
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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 ... -
Audio-Visual Biometric Recognition and Presentation Attack Detection: A Comprehensive Survey
(Peer reviewed; Journal article, 2021)Biometric recognition is a trending technology that uses unique characteristics data to identify or verify/authenticate security applications. Amidst the classically used biometrics, voice and face attributes are the most ... -
Automated Docking for Marine Surface Vessels - A Survey
(Peer reviewed; Journal article, 2023)Research on motion control systems for marine surface vessels has generated a vast academic literature and many industrial applications since the early 20th century. The recent focus on autonomous ships has sparked intensive ... -
Automatic colon polyp detection using region based deep CNN and post learning approaches
(Journal article; Peer reviewed, 2018)Automatic image detection of colonic polyps is still an unsolved problem due to the large variation of polyps in terms of shape, texture, size, and color, and the existence of various polyp-like mimics during colonoscopy. ... -
Automatic Visual Features for Writer Identification: A Deep Learning Approach
(Journal article; Peer reviewed, 2019)Identification of a person from his writing is one of the challenging problems; however, it is not new. No one can repudiate its applications in a number of domains, such as forensic analysis, historical documents, and ... -
A Bibliometric Analysis of Corona Pandemic in Social Sciences: A Review of Influential Aspects and Conceptual Structure
(Peer reviewed; Journal article, 2020)Corona pandemic has affected the whole world, and it is a highly researched area in biological sciences. As the current pandemic has affected countries socially and economically, the purpose of this bibliometric analysis ... -
Blind Source Separation Using Temporal Correlation, Non-Gaussianity and Conditional Heteroscedasticity
(Journal article; Peer reviewed, 2018)Independent component analysis separates latent sources from a linear mixture by assuming sources are statistically independent. In real world applications, hidden sources are usually non-Gaussian and have dependence among ... -
Blockchain State Channels: A State of the Art
(Peer reviewed; Journal article, 2021)Blockchain technology has been quite popular during recent years and it finally seems to present a significant rise with respect to its use for real-world applications. This advancement has brought up a critical challenge ... -
Blockchain-enabled Information Sharing within a Supply Chain: A Systematic Literature Review
(Peer reviewed; Journal article, 2020)A supply chain consists of many stakeholders such as suppliers, carriers and customers. It is often complex due to the rapid development of economic globalization and the intense competition pressure in the market which ... -
Bloom’s Learning Outcomes’ Automatic Classification Using LSTM and Pretrained Word Embeddings
(Peer reviewed; Journal article, 2021)Bloom’s taxonomy is a popular model to classify educational learning objectives into different learning levels for three domains including cognitive, affective and psycho motor. Each domain is further detailed into different ... -
Camera-Sonar Combination for Improved Underwater Localization and Mapping
(Journal article; Peer reviewed, 2023)Taking advantage of the complimentary properties of sonars and cameras can improve underwater visual odometry and point cloud generation. However, this task remains difficult as the image generation concepts are different, ... -
Classifying European Court of Human Rights Cases Using Transformer-Based Techniques
(Peer reviewed; Journal article, 2023)In the field of text classification, researchers have repeatedly shown the value of transformer-based models such as Bidirectional Encoder Representation from Transformers (BERT) and its variants. Nonetheless, these models ... -
Clustering Uncertain Data Objects Using Jeffreys-Divergence and Maximum Bipartite Matching Based Similarity Measure
(Peer reviewed; Journal article, 2021)In recent years, uncertain data clustering has become the subject of active research in many fields, for example, pattern recognition, and machine learning. Nowadays, researchers have committed themselves to substitute the ... -
Co-Simulation of Optimal EVSE and Techno-Economic System Design Models for Electrified Fleets
(Peer reviewed; Journal article, 2022)As the transition to electric mobility is expanding at a rapid pace, operationally feasible and economically viable charging infrastructure is needed to support electrified fleets. This paper presents a co-simulation of ... -
Collaborative Optimization of Vehicle and Charging Scheduling for a Bus Fleet Mixed With Electric and Traditional Buses
(Journal article; Peer reviewed, 2020) -
COLREG-Compliant Collision Avoidance for Unmanned Surface Vehicle using Deep Reinforcement Learning
(Peer reviewed; Journal article, 2020)Path Following and Collision Avoidance, be it for unmanned surface vessels or other autonomous vehicles, are two fundamental guidance problems in robotics. For many decades, they have been subject to academic study, leading ... -
Communication Aspects for a Measurement Based UWB in-Body to on-Body Channel
(Journal article; Peer reviewed, 2019)A wireless capsule endoscopy (WCE) is a good option for the screening of the digestive system. To better facilitate detection of diseases at an early stage, gastroenterologists seek both higher frame rate and frame resolution ... -
Compact and Mobile Full-Field Optical Coherence Tomography Sensor for Subsurface Fingerprint Imaging
(Peer reviewed; Journal article, 2020)Conventional fingerprint sensors that are deployed in real-life applications lack the ability to peer inside a finger beyond the external surface. Subsurface information can provide complimentary biometric characteristics ... -
A Comparative Performance Analysis of Data Resampling Methods on Imbalance Medical Data
(Peer reviewed; Journal article, 2021)Medical datasets are usually imbalanced, where negative cases severely outnumber positive cases. Therefore, it is essential to deal with this data skew problem when training machine learning algorithms. This study uses two ...