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A one-dimensional model for axisymmetric deformations of an inflated hyperelastic tube of finite wall thickness (2023)
Journal Article

We derive a one-dimensional (1d) model for the analysis of bulging or necking in an inflated hy?perelastic tube of finite wall thickness from the three-dimensional (3d) finite elasticity theory by applying the dimension reduction methodology propose... Read More about A one-dimensional model for axisymmetric deformations of an inflated hyperelastic tube of finite wall thickness.

Analyzing the impact of COVID-19 on flight cancellation using machine learning and deep learning algorithms for a highly unbalanced dataset (2021)
Presentation / Conference

Flight cancellations can be caused by many factors, including adverse weather conditions, and can result in lost money and time, etc. The COVID-19 pandemic has significantly exacerbated this situation, leading to a significant decrease in air travel.... Read More about Analyzing the impact of COVID-19 on flight cancellation using machine learning and deep learning algorithms for a highly unbalanced dataset.

Optimized Energy Management Schemes for Electric Vehicle Applications: A Bibliometric Analysis towards Future Trends (2021)
Journal Article

Concerns over growing greenhouse gas (GHG) emissions and fuel prices have prompted researchers to look into alternative energy sources, notably in the transportation sector, accounting for more than 70% of carbon emissions. An increasing amount of re... Read More about Optimized Energy Management Schemes for Electric Vehicle Applications: A Bibliometric Analysis towards Future Trends.

Designing a trial of early electrical stimulation to the stroke-affected arm: Qualitative findings on the barriers and facilitators (2021)
Journal Article

Introduction: This study aimed to explore the barriers and facilitators to implementing early therapeutic electrical stimulation (ES) treatment from both the patient and therapist perspectives as part of a feasibility study. Methods Design: Intervi... Read More about Designing a trial of early electrical stimulation to the stroke-affected arm: Qualitative findings on the barriers and facilitators.

Coloured noise time series as appropriate models for environmental variation in artificial evolutionary systems (2020)
Journal Article

Ecological, environmental and geophysical time series consistently exhibit the characteristics of coloured (1/f^ß ) noise. Here we briefly survey the literature on coloured noise, population persistence and related evolutionary dynamics, before intro... Read More about Coloured noise time series as appropriate models for environmental variation in artificial evolutionary systems.

Characterization and dynamical stability of fully nonlinear strain solitary waves in a fluid-filled hyperelastic membrane tube (2020)
Journal Article

We first characterize strain solitary waves propagating in a fluid-filled membrane tube when the fluid is stationary prior to wave propagation and the tube is also subjected to a finite stretch. We consider the parameter regime where all traveling wa... Read More about Characterization and dynamical stability of fully nonlinear strain solitary waves in a fluid-filled hyperelastic membrane tube.

Computer Simulation of the Incorporation of V2+, V3+, V4+, V(5+)and Mo3+, Mo4+, Mo5+, Mo(6+)Dopants in LiNbO3 (2020)
Journal Article

The doping of LiNbO(3)with V2+, V3+, V(4+)and V(5+)as well as Mo3+, Mo4+, Mo(5+)and Mo(6+)ions is of interest in enhancing its photorefractive properties. In this paper, possible incorporation mechanisms for these ions in LiNbO(3)are modelled, using... Read More about Computer Simulation of the Incorporation of V2+, V3+, V4+, V(5+)and Mo3+, Mo4+, Mo5+, Mo(6+)Dopants in LiNbO3.

Visualising the Invisible: Augmented Reality and Virtual Reality as Persuasive Technologies for Energy Feedback (2020)
Conference Proceeding

In the last fifteen years, the outlook for engaging direct energy feedback as a method of effectively curtailing domestic energy consumption has grown more pessimistic. Continuing studies and reviews suggest the impact of such techniques on consumers... Read More about Visualising the Invisible: Augmented Reality and Virtual Reality as Persuasive Technologies for Energy Feedback.

Deep Reinforcement Learning Based Energy Storage Arbitrage With Accurate Lithium-ion Battery Degradation Model (2020)
Journal Article

Accurate estimation of battery degradation cost is one of the main barriers for battery participating on the energy arbitrage market. This paper addresses this problem by using a model-free deep reinforcement learning (DRL) method to optimize the bat... Read More about Deep Reinforcement Learning Based Energy Storage Arbitrage With Accurate Lithium-ion Battery Degradation Model.