Scientific Publications in Engineering Sciences: Recent submissions
Now showing items 21-40 of 683
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A novel optimization algorithm based PID controller design for real-time optimization of cutting depth and surface roughness in finish hard turning processes
(Peer reviewed; Journal article, 2023)This paper proposes a novel method to improve surface finish in turning processes by effectively controlling the cutting depth. A metaheuristic algorithm based PID control system, in combination with a piezoelectric vibration ... -
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 ... -
Resource efficient PV power forecasting: Transductive transfer learning based hybrid deep learning model for smart grid in Industry 5.0
(Peer reviewed; Journal article, 2023)This paper presents an innovative approach for enhancing power output forecasting of Photovoltaic (PV) power plants in dynamic environmental conditions using a Hybrid Deep Learning Model (DLM). The hybrid DLM employs a ... -
Comprehensive sustainability strategy for the emerging ultra-high-performance concrete (UHPC) industry
(Peer reviewed; Journal article, 2023)The concrete industry is facing significant challenges in substantially reducing CO2 emissions, recycling waste materials and limiting the use of resources. Using ultra-high-performance concrete (UHPC) is one of the many ... -
Estimating number of European eel (Anguilla anguilla) individuals using environmental DNA and haplotype count in small rivers
(Peer reviewed; Journal article, 2023)Knowledge about population genetic data is important for effective conservation management. Genetic research traditionally requires sampling directly from the organism, for example tissue, which can be challenging, ... -
Inversion-free feedforward hysteresis control using Preisach model
(Chapter; Peer reviewed, 2023)We introduce a new inversion-free feedforward hysteresis control using the Preisach model. The feedforward scheme has a high-gain integral loop structure with Preisach hysteresis operator in negative feedback. This allows ... -
Vertical Approach Anomaly Detection Using Local Outlier Factor
(Chapter; Peer reviewed, 2023)Detection of anomalies based on smart meter data is crucial to identify potential risks and unusual events at an early stage. In addition anomaly detection can be used as a tool to detect unwanted outliers, caused by ... -
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 ... -
Digital Twin as a Virtual Sensor for Wind Turbine Applications
(Peer reviewed; Journal article, 2023)Digital twins (DTs) have been implemented in various applications, including wind turbine generators (WTGs). They are used to create virtual replicas of physical turbines, which can be used to monitor and optimize their ... -
Improved Barnacles Movement Optimizer (IBMO) Algorithm for Engineering Design Problems
(Lecture Notes in Computer Science; no. 14125, Chapter; Peer reviewed, 2023)A better understanding of natural behavior modeling in mathematical systems has enabled a new class of stochastic optimization algorithms that can estimate optimal solutions using reasonable computational resources for ... -
Exploring the Potential of Microgrids in the Effective Utilisation of Renewable Energy : A Comprehensive Analysis of Evolving Themes and Future Priorities Using Main Path Analysis
(Journal article; Peer reviewed, 2023)Microgrids are energy systems that can operate independently or in conjunction with the main electricity grid. Their purpose is to link different energy sources, enhance customer participation in energy markets, and improve ... -
Real-time computing of power flows and node voltages in electrical energy network using decision trees
(Peer reviewed; Journal article, 2023)In sustainable operation of electrical energy network, it is necessary to compute in real-time power flows and voltages at nodes for prioritizing power injection from clean energy resources. Intermittent renewable energy ... -
Dynamic response analysis of a monopile-supported offshore wind turbine under the combined effect of sea ice impact and wind load
(Peer reviewed; Journal article, 2023)The existence of drifting ice is a key challenge for structural design of offshore wind turbines (OWTs) in cold regions. To better understand the structural behavior of OWT under combined sea ice impact and wind load ... -
Model test of a dual-spar floating wind farm in regular waves
(Chapter, 2023)A floating wind farm with shared moorings has the potential to reduce capital expenditure but may face structural dynamics issues. We selected a prototype wind farm that consists of two spar floating wind turbines with ... -
IEC 61851 compliant demand side management algorithm for electric vehicle charging : a MILP based decentralized approach
(Chapter; Peer reviewed, 2023)Charging scheduling algorithms play a vital role in diminishing the negative consequences on electricity networks from the widespread adaptation of electro-mobility. Therefore, there is a growing interest in a pragmatic ... -
Pervasive and Connected Digital Twins for Edge Computing Enabled Industrial Applications
(Chapter; Peer reviewed, 2023) -
Metocean conditions at two Norwegian sites for development of offshore wind farms
(Peer reviewed; Journal article, 2024)This paper examines metocean data from NORA3, a state-of-the-art wind and wave hindcast dataset for Northern Europe. Two offshore Norwegian areas, Utsira Nord (UN) and Sørlige Nordsjø II (SN2), are investigated. Both areas ... -
Empowering human-robot interaction using sEMG sensor: Hybrid deep learning model for accurate hand gesture recognition
(Peer reviewed; Journal article, 2023)In this paper, a novel approach using a Henry Gas Solubility-based Stacked Convolutional Neural Network (HGS-SCNN) for hand gesture recognition using surface electromyography (sEMG) sensors is proposed. The stacked ... -
Enhancing Cardiovascular Disease Prediction via Hybrid Deep Learning Architectures : A Step Towards Smart Healthcare
(Chapter; Peer reviewed, 2023)Cardiovascular disease presents a serious and increasing global health challenge, making a substantial contribution to morbidity and mortality rates on a global scale. This research study presents a novel methodology for ... -
Conditions for just offshore wind energy: Addressing the societal challenges of the North Sea wind industry
(Peer reviewed; Journal article, 2023)Global investment in offshore wind energy is anticipated to surge in the coming decades. While improved technology, reduced costs, and generous policy support are frequently acknowledged as driving factors, many assert ...