Browsing Institutt for IKT og realfag by Document Types "Peer reviewed"
Now showing items 21-40 of 258
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An Analytical Study on Eavesdropping Attacks in Wireless Nets of Things
(Journal article; Peer reviewed, 2016)The security of Internet of Things (IoT) has received extensive attention recently. This paper presents a novel analytical model to investigate the eavesdropping attacks in Wireless Net of Things (WNoT). Our model considers ... -
Application-Oriented Retinal Image Models for Computer Vision
(Peer reviewed; Journal article, 2020)Energy and storage restrictions are relevant variables that software applications should be concerned about when running in low-power environments. In particular, computer vision (CV) applications exemplify well that ... -
Applying Deep Learning Technique for Depression Classification in Social Media Text
(Peer reviewed; Journal article, 2020)In social media, depression identification could be regarded as a complex task because of the complicated nature associated with mental disorders. In recent times, there has been an evolution in this research area with ... -
Assessing autonomous ship navigation using bridge simulators enhanced by cycle-consistent adversarial networks
(Peer reviewed; Journal article, 2021)The advent of artificial intelligence and deep learning has provided sophisticated functionality for sensor fusion and object detection and classification which have accelerated the development of highly automated and ... -
Assessment of COVID-19 precautionary measures in sports facilities: A case study on a health club in Saudi Arabia
(Peer reviewed; Journal article, 2021)Health club facilities represent a physical space for an industry that is centric to human health and fitness, serving various societal dimensions such as cultural, economic, and social aspects on the individual and the ... -
Assessment of early warning signs in hospital projects’ front-end phase
(Peer reviewed; Journal article, 2022)Purpose The front-end phase plays an important role in achieving project success, and establishment of performance measurement systems considering project challenges or pitfalls is a way of keeping track of this phase. ... -
Automated Uterine Fibroids Detection in Ultrasound Images Using Deep Convolutional Neural Networks
(Peer reviewed; Journal article, 2023)Fibroids of the uterus are a common benign tumor affecting women of childbearing age. Uterine fibroids (UF) can be effectively treated with earlier identification and diagnosis. Its automated diagnosis from medical images ... -
Automatic Markerless Motion Detector Method against Traditional Digitisation for 3-Dimensional Movement Kinematic Analysis of Ball Kicking in Soccer Field Context
(Peer reviewed; Journal article, 2022)Kicking is a fundamental skill in soccer that often contributes to match outcomes. Lower limb movement features (e.g., joint position and velocity) are determinants of kick performance. However, obtaining kicking kinematics ... -
Automatic segmentation of human knee anatomy by a convolutional neural network applying a 3D MRI protocol
(Peer reviewed; Journal article, 2023)Background: To study deep learning segmentation of knee anatomy with 13 anatomical classes by using a magnetic resonance (MR) protocol of four three-dimensional (3D) pulse sequences, and evaluate possible clinical usefulness. ... -
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 BFS-Tree of ranking references for unsupervised manifold learning
(Journal article; Peer reviewed, 2021)Contextual information, defined in terms of the proximity of feature vectors in a feature space, has been successfully used in the construction of search services. These search systems aim to exploit such information to ... -
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 ... -
Bifurcation Analysis, Synchronization and FPGA Implementation of a New 3-D Jerk System with a Stable Equilibrium
(Peer reviewed; Journal article, 2023)This research paper addresses the modelling of a new 3-D chaotic jerk system with a stable equilibrium. Such chaotic systems are known to exhibit hidden attractors. After the modelling of the new jerk system, a detailed ... -
Big data and connectivity in long-linked supply chains
(Journal article; Peer reviewed, 2018)Purpose This study aims to consider the developing of strategic use of big data in association with long-linked physical goods supply focusing on risk management. Design/methodology/approach Analysis is grounded on a case ... -
Blockchain-Based Power Energy Trading Management
(Peer reviewed; Journal article, 2021)Distributed peer-to-peer power energy markets are emerging quickly. Due to central governance and lack of effective information aggregation mechanisms, energy trading cannot be efficiently scheduled and tracked. We devise ... -
Can the Hubble tension be resolved by bulk viscosity?
(Journal article; Peer reviewed, 2021)We show that the cosmic bulk viscosity estimated in our previous works is sufficient to bridge the H0 value inferred from observations of the early universe with the value inferred from the local (late) universe. -
A Change-Driven Image Foveation Approach for Tracking Plant Phenology
(Peer reviewed; Journal article, 2020)One of the challenges in remote phenology studies lies in how to efficiently manage large volumes of data obtained as long-term sequences of high-resolution images. A promising approach is known as image foveation, which ... -
Characterization and analyses of dribbling actions in soccer: a novel definition and effectiveness of dribbles in the 2018 FIFA World Cup RussiaTM
(Peer reviewed; Journal article, 2022)Purpose Dribbling is a significant skill in soccer, owing to its effectiveness to create opportunities for scoring, and has been analysed from different perspectives, including the development of talented players. This ... -
Chronic Diseases and Health Monitoring Big Data: A Survey
(Journal article; Peer reviewed, 2018)With the advancement of technology in data science and network technology, the world has stepped into the Era of Big Data, and the medical field is rich in data suitable for analysis. Thus, in recent years, there has been ... -
Classification and determinants of passing difficulty in soccer: a multivariate approach
(Peer reviewed; Journal article, 2021)Introduction Usually, the players’ or teams’ efficiency to perform passes is measured in terms of accuracy. The degree of difficulty of this action has been overlooked in the literature. Objectives The present study ...