Scientific Publications in Engineering Sciences
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A study on permanent deformation and fatigue damage interaction in asphalt concrete
(Peer reviewed; Journal article, 2023)The dominant load-induced damages, permanent deformation (PD) and fatigue cracking (F), are traditionally predicted separately by taking temperature as a variable of departure. This paper presents an experimental study of ... -
Reliability Enhancement of Fast Charging Station under Electric Vehicle Supply Equipment Failures and Repairs
(Peer reviewed; Journal article, 2023)This work focuses on the enhancement of the charging reliability of both scheduled (SEVs) and opportunistic (UEVs) electric vehicle (EV) users in an EV fast charging station (FCS). The proposed charging coordination ... -
A review on peak shaving techniques for smart grids
(Peer reviewed; Journal article, 2023)Peak shaving techniques have become increasingly important for managing peak demand and improving the reliability, efficiency, and resilience of modern power systems. In this review paper, we examine different peak shaving ... -
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). ... -
A Current Spectrum-Based Algorithm for Fault Detection of Electrical Machines Using Low-Power Data Acquisition Devices
(Peer reviewed; Journal article, 2023)An algorithm to improve the resolution of the frequency spectrum by detecting the number of complete cycles, removing any fractional components of the signal, signal discontinuities, and interpolating the signal for fault ... -
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 ... -
Hybrid General Regression NN Model for Efficient Operation of Centralized TEG System under Non-Uniform Thermal Gradients
(Peer reviewed; Journal article, 2023)The global energy demand, along with the proportionate share of renewable energy, is increasing rapidly. Renewables such as thermoelectric generators (TEG) systems have lower power ratings but a highly durable and ... -
Data-driven green energy extraction: Machine learning-based MPPT control with efficient fault detection method for the hybrid PV-TEG system
(Peer reviewed; Journal article, 2023)The hybrid photovoltaic-thermoelectric generation system (PVTEG) gives two-fold benefits; firstly, it efficiently utilizes the available solar energy as it converts both solar irradiance and solar thermal energy into ... -
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 ...