Blar i Institutt for IKT og realfag på dokumenttype "Journal article"
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Classification of Failures in the Perception of Conversational Agents (CAs) and Their Implications on Patient Safety
(Peer reviewed; Journal article, 2021)The use of Conversational agents (CAs) in healthcare is an emerging field. These CAs seem to be effective in accomplishing administrative tasks, e.g. providing locations of care facilities and scheduling appointments. ... -
Co-simulation as a Fundamental Technology for Twin Ships
(Peer reviewed; Journal article, 2020)The concept of digital twins, characterized by the high fidelity with which they mimic their physical counterpart, provide potential benefits for the next generation of advanced ships. It allows analysis of data and ... -
A code-compliance assessment tool for fire prevention measures in educational facilities
(Peer reviewed; Journal article, 2021)Purpose This research presents the applicable international fire code requirements for educational facilities, in a comprehensive manner, and the findings of a case study to assess the level of compliance with these ... -
Cognitive control-loop for elastic optical networks with space-division multiplexing
(Peer reviewed; Journal article, 2021)This paper introduces a new solution to improve network performance by decreasingspectrum fragmentation, crosstalk interference, blocking of virtual networks, cost, and link loadimbalance. These problems degrade the ... -
CommonLang: a DSL for defining robot tasks
(Journal article; Peer reviewed, 2018)Robots are becoming more and more complex and heterogeneous; their abilities and domains of usage are increasing exponentially. Programming these robots requires special skills and usually does not follow standard software ... -
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 ... -
Comparative predictive modelling of the occurrence of faecal indicator bacteria in a drinking water source in Norway
(Journal article; Peer reviewed, 2018)Presently, concentrations of fecal indicator bacteria (FIB) in raw water sources are not known before water undergoes treatment, since analysis takes approximately 24 h to produce results. Using data on water quality and ... -
Comparing CAM Algorithms for the Identification of Salient Image Features in Iconography Artwork Analysis
(Peer reviewed; Journal article, 2021)Iconography studies the visual content of artworks by considering the themes portrayedin them and their representation. Computer Vision has been used to identify iconographic subjectsin paintings and Convolutional Neural ... -
A Comparison of GA Crossover and Mutation Methods for the Traveling Salesman Problem
(Peer reviewed; Journal article, 2021)The traveling salesman problem is a very popular combinatorial optimization problem in fields such as computer science, operations research, mathematics and optimization theory. Given a list of cities and the distances ... -
Complex network model indicates a positive effect of inspiratory muscles pre-activation on performance parameters in a judo match
(Peer reviewed; Journal article, 2021)This study investigated the efects of inspiratory muscle pre-activation (IMPA) on the interactions among the technical-tactical, physical, physiological, and psychophysiological parameters in a simulated judo match, based ... -
Complex Network Model Reveals the Impact of Inspiratory Muscle Pre-Activation on Interactions among Physiological Responses and Muscle Oxygenation during Running and Passive Recovery
(Peer reviewed; Journal article, 2022)Simple Summary Different warm-ups can be used to improve physical and sports performance. Among these strategies, we can include the pre-activation of the inspiratory muscles. Our study aimed to investigate this pre-activation ... -
A Comprehensive Dataset for Bibliometric Analysis of SARS and Coronavirus Impact on Social Sciences
(Peer reviewed; Journal article, 2020)The year 2020 has changed the living style of people all around the world. Corona pandemic has affected the people in all fields of life economically, physically, and mentally. This dataset is a collection of published ... -
A Comprehensive Study of HBase Storage Architecture—A Systematic Literature Review
(Peer reviewed; Journal article, 2021)According to research, generally, 2.5 quintillion bytes of data are produced every day. About 90% of the world’s data has been produced in the last two years alone. The amount of data is increasing immensely. There is a ... -
Computer-Aided Diagnosis of Coal Workers’ Pneumoconiosis in Chest X-ray Radiographs Using Machine Learning: A Systematic Literature Review
(Peer reviewed; Journal article, 2022)Computer-aided diagnostic (CAD) systems can assist radiologists in detecting coal workers’ pneumoconiosis (CWP) in their chest X-rays. Early diagnosis of the CWP can significantly improve workers’ survival rate. The ... -
Contextual movement models based on normalizing flows
(Journal article; Peer reviewed, 2021)Movement models predict positions of players (or objects in general) over time and are thus key to analyzing spatiotemporal data as it is often used in sports analytics. Existing movement models are either designed from ... -
Corresponding Assessment Scenarios in Laboratory and On-Court Tests: Centrality Measurements by Complex Networks Analysis in Young Basketball Players
(Peer reviewed; Journal article, 2020)Besides technical and tactical aspects, basketball matches involve high aerobic and anaerobic capacities, conferring the final performance of a team. Thus, the evaluation of physical and technical responses is an effective ... -
Cross-subject EEG linear domain adaption based on batch normalization and depthwise convolutional neural network
(Journal article; Peer reviewed, 2023)Electroencephalogram (EEG)-based emotion recognition has been widely used in affective computing. However, the study on improving recognition accuracy across individuals is insufficient. In this study, a new linear domain ... -
Data and knowledge manangement in field studies A case for semantic technologies
(Journal article; Peer reviewed, 2017)Ship design is a knowledge-intensive industry. To design safe ship systems for demanding operations, there is an increasing need for comprehensive knowledge of the operational context. Field studies is an important source ... -
Data Version Control for Relational Databases: Small and Start-up Business Perspective
(Peer reviewed; Journal article, 2016)Data-related businesses is an emerging trend in the recent decade. However, the availability and amount of information make it difficult to ensure quality in terms of data fusion and version control. Completely automated ... -
Data-Driven Maritime Processes Management Using Executable Models
(Journal article, 2018)In this paper we describe a decision support system for maritime traffic and operations, based on formal models and driven by data from the environment. To handle the complexity of system description, we work with a ...