Blar i Scientific Publications in Engineering Sciences på tidsskrift "IEEE Access"
Viser treff 1-20 av 25
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A Learning Automaton-based Scheme for Scheduling Domestic Shiftable Loads in Smart Grids
(Journal article; Peer reviewed, 2017)In this paper, we consider the problem of scheduling shiftable loads, over multiple users, in smart electrical grids. We approach the problem, which is becoming increasingly pertinent in our present energy-thirsty society, ... -
An EEMD Aided Comparison of Time Histories and Its Application in Vehicle Safety
(Journal article; Peer reviewed, 2017)In the context of signal processing, the comparison of time histories is required for different purposes, especially for the model validation of vehicle safety. Most of the existing metrics focus on the mathematical value ... -
CArDIS: A Swedish Historical Handwritten Character and Word Dataset
(Peer reviewed; Journal article, 2022)This paper introduces a new publicly available image-based Swedish historical handwritten character and word dataset named C haracter Ar kiv D igital S weden (CArDIS) ( https://cardisdataset.github.io/CARDIS/ ). The samples ... -
A Comprehensive Survey on Blockchain-Based Decentralized Storage Networks
(Peer reviewed; Journal article, 2023)Blockchains are a new approach to creating distributed networks that were first introduced in 2008. It allows the formation of peer-to-peer networks based on consensus, forming chains from accepted blocks without requiring ... -
Early Mental Stress Detection Using Q-Learning Embedded Starling Murmuration Optimiser-Based Deep Learning Model
(Peer reviewed; Journal article, 2023)Stress affects individual of all ages as a regular part of life, but excessive and chronic stress can lead to physical and mental health problems, decreased productivity, and reduced quality of life. By identifying stress ... -
Edge-Distributed Fusion of Camera-LiDAR for Robust Moving Object Localization
(Peer reviewed; Journal article, 2023)Object localization plays a crucial role in computational perception, enabling applications ranging from surveillance to autonomous navigation. This can be leveraged by fusing data from cameras and LiDARs (Light Detection ... -
Enabling Precision Medicine via Contemporary and Future Communication Technologies: A Survey
(Peer reviewed; Journal article, 2023)Precision medicine (PM) is an innovative medical approach that considers differences in the individuals’ omics, medical histories, lifestyles, and environmental information in treating diseases. To fully achieve the envisaged ... -
Field Reconstruction for Modeling Multiple Faults in Permanent Magnet Synchronous Motors in Transient States
(Peer reviewed; Journal article, 2021) -
Four-Level Three-Phase Inverter With Reduced Component Count for Low and Medium Voltage Applications
(Peer reviewed; Journal article, 2021) -
Health Indicator for Low-speed Axial Bearings using Variational Autoencoders
(Journal article; Peer reviewed, 2020) -
Hybrid Three-Phase Transformer-Based Multilevel Inverter With Reduced Component Count
(Peer reviewed; Journal article, 2022)The topology of the static synchronous compensator of reactive power for a low-voltage three-phase utility grid capable of asymmetric reactive power compensation in grid phases has been proposed and analysed. It is implemented ... -
Integrated Multiport DC-DC and Multilevel Converters for Multiple Renewable Energy Source Integration
(Peer reviewed; Journal article, 2023)This research introduces an innovative converter system which has been developed to seamlessly incorporate multiple sources of renewable energy into both DC and AC grids. The integration of multiple energy sources is made ... -
Joint Resource Allocation and UAV Scheduling With Ground Radio Station Sleeping
(Peer reviewed; Journal article, 2021) -
A Language and Platform Independent Co-Simulation Framework Based on the Functional Mock-Up Interface
(Peer reviewed; Journal article, 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 Language and Platform Independent Co-Simulation Framework Based on the Functional Mock-Up Interface
(Peer reviewed; Journal article, 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 ... -
Multilingual Sentiment Analysis for Under-Resourced Languages: A Systematic Review of the Landscape
(Peer reviewed; Journal article, 2022)Sentiment analysis automatically evaluates people’s opinions of products or services. It is an emerging research area with promising advancements in high-resource languages such as Indo-European languages (e.g. English). ... -
Novel Isolated Multiport DC Converter with Natural Bipolar Symmetry for Renewable Energy Source Integration to DC Grids
(Peer reviewed; Journal article, 2023)Due to their greater reliability, efficiency, and resilience as compared to unipolar dc grid systems, bipolar dc grid systems are swiftly gaining popularity for the integration of renewable energy sources. However, development ... -
Open-Source Face Recognition Frameworks: A Review of the Landscape
(Peer reviewed; Journal article, 2022) -
Optimization of Vehicle-to-Vehicle Frontal Crash Model based on Measured Data using Genetic Algorithm
(Journal article; Peer reviewed, 2017)In this paper, a mathematical model for vehicle-to-vehicle frontal crash is developed. The experimental data are taken from the National Highway Traffic Safety Administration. To model the crash scenario, the two vehicles ... -
Personalized Adaptive Learning Technologies Based on Machine Learning Techniques to Identify Learning Styles: A Systematic Literature Review
(Peer reviewed; Journal article, 2023)Artificial intelligence (AI) approaches have been used in personalised adaptive education systems to overcome the limitations of statically determined learning styles (LSs). These approaches utilise algorithms from machine ...