Faculty of Engineering and Science: Nye registreringer
Viser treff 241-260 av 3383
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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 ... -
Growth of fungi and yeasts in food production waste streams: a feasibility study
(Peer reviewed; Journal article, 2023)Food production produces nutrient-rich waste streams which, depending on local legislation, are either sent to wastewater treatment plants or discharged into the environment. In addition to causing environmental harm in ... -
Impact of moisture content, closing speed, and pressurizing speed on the performance of medium density fiberboard (MDF)
(Peer reviewed; Journal article, 2023)Thepurpose of this research is to investigate the impact of moisture content, closing speed, and pressurizing speed of hot press on the density, uniformity of density distribution, and properties of Medium Density Fiberboard ... -
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 ... -
A Joint Extraction System Based on Conditional Layer Normalization for Health Monitoring
(Peer reviewed; Journal article, 2023)Natural language processing (NLP) technology has played a pivotal role in health monitoring as an important artificial intelligence method. As a key technology in NLP, relation triplet extraction is closely related to the ... -
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 ... -
Reliktfloraen på våre middelalderlige kirkesteder
(Journal article; Peer reviewed, 2023)Mange nytteplanter ble innført og dyrket i Norden i vikingtid og middelalder. Reliktplanter er levende fortidsminner som på forskjellig vis har overlevd siden de ble introdusert. Over 600 kirkesteder fra middelalderen er ... -
Exploring synchronization and lift suppression in fluid flow around vibrating cylinder: a parallel CFD and global optimization investigation
(Peer reviewed; Journal article, 2023)In this study, we employ a parallel Computational Fluid Dynamics (CFD) code integrated with the VTDIRECT95 algorithm, a parallel deterministic global optimization method, to conduct global optimization for an oscillating ... -
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 ... -
An automatic and personalized recommendation modelling in activity eCoaching with deep learning and ontology
(Peer reviewed; Journal article, 2023)Electronic coaching (eCoach) facilitates goal-focused development for individuals to optimize certain human behavior. However, the automatic generation of personalized recommendations in eCoaching remains a challenging ... -
HDIEA: high dimensional color image encryption architecture using five-dimensional Gauss-logistic and Lorenz system
(Peer reviewed; Journal article, 2023)The work presented here is a high dimensional color image encryption architecture (HDIEA) founded on the Lorenz-Gauss-Logistic (LGL) encryption algorithm. The primary objective is to demonstrate that both the proposed novel ... -
Secure Blockchain-Enabled Authentication Key Management Framework with Big Data Analytics for Drones in Networks Beyond 5G Applications
(Peer reviewed; Journal article, 2023)One of the most significant recent advances in technology is the advent of unmanned aerial vehicles (UAVs), i.e., drones. They have widened the scope of possible applications and provided a platform for a wide range of ... -
Synthesis of graphene oxide (GO) and reduced graphene oxide (rGO) and their application as nano-fillers to improve the physical and mechanical properties of medium density fiberboard
(Peer reviewed; Journal article, 2023)Graphene is an advanced material in the carbon group and offers greater mechanical, electrical, structural, and optical properties. Graphene oxide (GO) and reduced graphene oxide (rGO) nanoparticles were synthesized and ... -
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 ... -
Classifying and Localizing Abnormalities in Brain MRI Using Channel Attention Based Semi-Bayesian Ensemble Voting Mechanism and Convolutional Auto-Encoder
(Peer reviewed; Journal article, 2023)Adults who have brain tumors face a serious and potentially fatal challenge since the tumors rapidly growing malignant cells can seriously impair their physiological ability. In clinical practice, imaging techniques such ... -
Multi-Class Stress Detection Through Heart Rate Variability: A Deep Neural Network Based Study
(Peer reviewed; Journal article, 2023)Stress is a natural human reaction to demands or pressure, usually when perceived as harmful or/and toxic. When stress becomes constantly overwhelmed and prolonged, it increases the risk of mental health and physiological ... -
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 ...