Blar i NTNU Open på tidsskrift "IEEE Access"
Viser treff 101-120 av 257
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An Evaluation of Multi-Label Classification Approaches for Method-Level Code Smells Detection
(Journal article; Peer reviewed, 2024)(1) Background: Code smell is the most popular and reliable method for detecting potential errors in code. In real-world circumstances, a single source code may have multiple code smells. Multi-label code smell detection ... -
Evaluation of Ten Open-Source Eye-Movement Classification Algorithms in Simulated Surgical Scenarios
(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 ... -
Evolution of Software Testing Strategies and Trends: Semantic Content Analysis of Software Research Corpus of the Last 40 Years
(Peer reviewed; Journal article, 2022)From the early days of computer systems to the present, software testing has been considered as a crucial process that directly affects the quality and reliability of software-oriented products and services. Accordingly, ... -
Excitation System Technologies for Wound-Field Synchronous Machines: Survey of Solutions and Evolving Trends
(Journal article; Peer reviewed, 2019)Wound-field synchronous machines (WFSMs) are included in the majority of large power generating units and special high-power motor drives, due to their high efficiency, flexible field excitation and intrinsic flux weakening ... -
Expanded combinatorial designs as tool to model network slicing in 5G
(Journal article; Peer reviewed, 2019)The network slice management function (NSMF) in 5G has a task to configure the network slice instances and to combine network slice subnet instances from the new-generation radio access network and the core network into ... -
Experimental Evaluation of the Layered Flow-Based Autonomous TSCH Scheduler
(Peer reviewed; Journal article, 2023)The Industrial Internet of Things (IIoT) requires wireless connectivity that meets the strict industrial requirements on metrics such as reliability and latency. Promising approaches include Time Slotted Channel Hopping ... -
An Exploration on the Influence Factors of the Optimal Sample Width for Hyperspectral Remote Sensing Image Classification
(Peer reviewed; Journal article, 2023)Spectral-spatial classification of hyperspectral image (HSI) has made enormous achievements in many applications. One of the critical attributes that affects classification accuracy is the width of HSI cube/patch. To seek ... -
Exploring Pattern Mining Algorithms for Hashtag Retrieval Problem
(Peer reviewed; Journal article, 2020)Hashtag is an iconic feature to retrieve the hot topics of discussion on Twitter or other social networks. This paper incorporates the pattern mining approaches to improve the accuracy of retrieving the relevant information ... -
F-CBR: An Architecture for Federated Case-Based Reasoning
(Journal article; Peer reviewed, 2022)Case-based reasoning (CBR) is a problem-solving methodology in artificial intelligence that attempts to solve new problems using past experiences known as cases. Experiences collected in a single case base from an institution ... -
FastPathology: An open-source platform for deep learning-based research and decision support in digital pathology
(Peer reviewed; Journal article, 2021)Deep convolutional neural networks (CNNs) are the current state-of-the-art for digital analysis of histopathological images. The large size of whole-slide microscopy images (WSIs) requires advanced memory handling to read, ... -
Finite-time Backstepping of a Nonlinear System in Strict-feedback Form: Proved by Bernoulli Inequality
(Peer reviewed; Journal article, 2020)In this paper, we propose a novel state-feedback backstepping control design approach fora single-input single-output (SISO) nonlinear system in strict-feedback form. Rational-exponent Lyapunovfunctions (ReLFs) are employed ... -
Fish Monitoring in Aquaculture Using Multibeam Echosounders and Machine Learning
(Peer reviewed; Journal article, 2023)Offshore salmon aquaculture is a growing industry that faces challenges such as sea lice infestations and varying environmental conditions, necessitating the development of new monitoring systems to improve fish welfare ... -
Focus Measurement in Color Space for Shape from Focus Systems
(Peer reviewed; Journal article, 2021)Shape from Focus (SFF) has been studied extensively in computer vision for 3D shape and depth recovery. The first stage in SFF methods is to compute the focus value of every pixel by converting the colored images into gray ... -
Fog Computing in Healthcare – A Review and Discussion
(Journal article; Peer reviewed, 2017)Fog computing is an architectural style in which network components between devices and the cloud execute application-specific logic. We present the first review on fog computing within healthcare informatics, and explore, ... -
Force Tracking Using Actuated Winches with Position-Controlled Motors for Use in Hydrodynamical Model Testing
(Peer reviewed; Journal article, 2021)In this paper, we consider the problem of accurate force control using actuated winches, intended for use in real-time hybrid hydrodynamic model testing. The paper is also relevant to other cable-driven parallel robot ... -
Four Degree-of-Freedom Hydrodynamic Maneuvering Model of a Small Azipod-Actuated Ship With Application to Onboard Decision Support Systems
(Peer reviewed; Journal article, 2023)The main contribution of this paper is a numerical ship motion model of NTNU’s research vessel Gunnerus, capturing the surge, sway, roll, and yaw dynamics when sailing in uniform and steady currents. The model utilizes a ... -
Gaining insight into solar photovoltaic power generation forecasting utilizing explainable artificial intelligence tools
(Peer reviewed; Journal article, 2020)Over the last two decades, Artificial Intelligence (AI) approaches have been applied to various applications of the smart grid, such as demand response, predictive maintenance, and load forecasting. However, AI is still ... -
Galvanic Impulse Wireless Communication for Biomedical Implants
(Peer reviewed; Journal article, 2021)Wireless intra-body communication is a promising approach for providing efficient and secure connectivity for medical implants. The low power consumption of the electronics and the conductivity of the biological tissues ... -
Game-based digital quiz as a tool for improving students’ engagement and learning in online lectures
(Peer reviewed; Journal article, 2021)Distance teaching and learning are gaining popularity, especially amidst the COVID-19 crisis at the beginning of 2020. Several schools, colleges, and universities across the globe, as a result, have adopted the online mode ... -
General TCP state inference model from passive measurements using machine learning techniques
(Journal article; Peer reviewed, 2018)Many applications in the Internet use the reliable end-to-end Transmission Control Protocol (TCP) as a transport protocol due to practical considerations. There are many different TCP variants widely in use, and each variant ...