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The Lowest Eigenfrequencies of an Immersed Thin Elastic Cylindrical Shell (2023)
Book Chapter
Yücel, H., Erbaş, B., Ege, N., & Kaplunov, J. (2023). The Lowest Eigenfrequencies of an Immersed Thin Elastic Cylindrical Shell. In Advances in Linear and Nonlinear Continuum and Structural Mechanics (559-571). Springer. https://doi.org/10.1007/978-3-031-43210-1_31

The plane strain time-harmonic motion of an immersed cylindrical elastic shell is considered. The revisit to this classical problem is motivated by modern technical applications, including the investigation of low-frequency band gaps arising at acous... Read More about The Lowest Eigenfrequencies of an Immersed Thin Elastic Cylindrical Shell.

Extreme dynamics of wave groups on jet currents (2023)
Journal Article
Slunyaev, A. V., & Shrira, V. I. (2023). Extreme dynamics of wave groups on jet currents. Physics of Fluids, 35(12), Article 126606. https://doi.org/10.1063/5.0180658

Rogue waves are known to be much more common on jet currents. A possible explanation was put forward in Shrira and Slunyaev [“Nonlinear dynamics of trapped waves on jet currents and rogue waves,” Phys. Rev. E 89, 041002(R) (2014)] for the waves trapp... Read More about Extreme dynamics of wave groups on jet currents.

Threat Modeling for Communication Security of IoT-Enabled Digital Logistics (2023)
Journal Article
Junejo, A. K., Breza, M., & McCann, J. A. (in press). Threat Modeling for Communication Security of IoT-Enabled Digital Logistics. Sensors, 23(23), Article 9500. https://doi.org/10.3390/s23239500

The modernization of logistics through the use of Wireless Sensor Network (WSN) Internet of Things (IoT) devices promises great efficiencies. Sensor devices can provide real-time or near real-time condition monitoring and location tracking of assets... Read More about Threat Modeling for Communication Security of IoT-Enabled Digital Logistics.

New mountain ridge modes in a film/substrate bilayer (2023)
Journal Article
Fu, Y., Wang, Y., & Fu, Y. (in press). New mountain ridge modes in a film/substrate bilayer. Mathematics and Mechanics of Solids, 1-15. https://doi.org/10.1177/10812865231208414

This article is concerned with the buckling of a film-substrate bilayer in a state of plane strain when it is subjected to a uni-axial compression along its free surface. Previous numerical simulations have indicated that pre-stretching the substrate... Read More about New mountain ridge modes in a film/substrate bilayer.

Seismic metasurface on an orthorhombic elastic half-space (2023)
Journal Article
Prikazchikov, D., Sabirova, R., & Wootton, P. T. (in press). Seismic metasurface on an orthorhombic elastic half-space. Science Progress, 106(4), https://doi.org/10.1177/00368504231206320

The article is studying a seismic meta-surface in the case of an oscillatory system arranged on the surface of an orthorhombic elastic half-space. The approach is based on the asymptotic hyperbolic–elliptic formulation for the Rayleigh wave excited b... Read More about Seismic metasurface on an orthorhombic elastic half-space.

The thermo-viscous fingering instability of a cooling spreading liquid dome (2023)
Journal Article
Algwauish, G., & Naire, S. (2023). The thermo-viscous fingering instability of a cooling spreading liquid dome. Physics of Fluids, 35(11), Article 112109. https://doi.org/10.1063/5.0173902

We investigate a theoretical model of a molten viscous planar liquid dome spreading under gravity over an inclined substrate. The liquid in the dome cools as it spreads, losing its heat to the surrounding colder air and substrate. Coupled nonlinear... Read More about The thermo-viscous fingering instability of a cooling spreading liquid dome.

Machine learning models based on routinely sampled blood tests can predict the presence of malignancy amongst patients with suspected musculoskeletal malignancy (2023)
Journal Article
Bentick, K., Runevic, J., Akula, S., Kyriacou, T., Cool, P., & Andras, P. (2023). Machine learning models based on routinely sampled blood tests can predict the presence of malignancy amongst patients with suspected musculoskeletal malignancy. Methods, 220, 55-60. https://doi.org/10.1016/j.ymeth.2023.10.012

This study explores the possibility of using routinely taken blood tests in the diagnosis and triage of patients with suspected musculoskeletal malignancy. A retrospective study was performed on results of patients who had presented for assessment to... Read More about Machine learning models based on routinely sampled blood tests can predict the presence of malignancy amongst patients with suspected musculoskeletal malignancy.

Stochastic flutter analysis of a three-degree-of-freedom airfoil under vertical turbulence disturbance (2023)
Journal Article
Hao, Y., Guo, X., & Fu, Y. (2024). Stochastic flutter analysis of a three-degree-of-freedom airfoil under vertical turbulence disturbance. International Journal of Non-Linear Mechanics, 158, Article 104584. https://doi.org/10.1016/j.ijnonlinmec.2023.104584

This paper investigates the nonlinear stochastic dynamic response of a three-degree-of-freedom(3-DOF) airfoil with high substructural nonlinearity under vertical turbulent disturbances. Considering a two-dimensional flow field, the Dryden turbulence... Read More about Stochastic flutter analysis of a three-degree-of-freedom airfoil under vertical turbulence disturbance.

A hierarchy of asymptotic models for a fluid-loaded elastic layer (2023)
Journal Article
Kaplunov, J., Prikazchikova, L., & Shamsi, S. (in press). A hierarchy of asymptotic models for a fluid-loaded elastic layer. Mathematics and Mechanics of Solids, https://doi.org/10.1177/10812865231201573

A hierarchy of asymptotic models governing long-wave low-frequency in-plane motion of a fluid-loaded elastic layer is established. In contrast to a layer with traction-free faces, modelled by Neumann boundary conditions, a fluid-loaded one assumes mo... Read More about A hierarchy of asymptotic models for a fluid-loaded elastic layer.

Modelling and forecasting oil market volatility: A regime switching GARCH MIDAS approach (2023)
Thesis
Tirkishova, M. Modelling and forecasting oil market volatility: A regime switching GARCH MIDAS approach. (Thesis). Keele University. https://keele-repository.worktribe.com/output/598023

In this thesis, we consider a regime switching GARCH MIDAS model with Student-t innovations. By allowing the error term to be non-Gaussian, we want to see how effective it is in describing the volatility displayed in financial time series. For the lo... Read More about Modelling and forecasting oil market volatility: A regime switching GARCH MIDAS approach.

Preface (2023)
Presentation / Conference Contribution
Bell, P. C., Potapov, I., Schmitz, S., & Totzke, P. Preface

A novel (2+1)-dimensional nonlinear evolution equation for weakly stratified free-surface boundary layers (2023)
Journal Article
Oloo, J. O., & Shrira, V. I. (2023). A novel (2+1)-dimensional nonlinear evolution equation for weakly stratified free-surface boundary layers. Journal of Fluid Mechanics, 973, Article A40. https://doi.org/10.1017/jfm.2023.773

To get an insight into the dynamics of the oceanic surface boundary layer we develop an asymptotic model of the nonlinear dynamics of linearly decaying three-dimensional long-wave perturbations in weakly stratified boundary-layer flows. Although in n... Read More about A novel (2+1)-dimensional nonlinear evolution equation for weakly stratified free-surface boundary layers.

Deep Neural Network Based Automatic Litter Detection in Desert Areas Using Unmanned Aerial Vehicle Imagery (2023)
Presentation / Conference Contribution
Wang, G., Leonce, A., Hacid, H., & Edirisinghe, E. (2023, October). Deep Neural Network Based Automatic Litter Detection in Desert Areas Using Unmanned Aerial Vehicle Imagery. Presented at 2023 International Symposium on Networks, Computers and Communications (ISNCC), Doha, Qatar

The United Arab Emirates (UAE) values its relationship with the desert, considering it a crucial part of its heritage and culture. However, the desert faces environmental challenges due to the improper disposal of garbage by visitors and the dumping... Read More about Deep Neural Network Based Automatic Litter Detection in Desert Areas Using Unmanned Aerial Vehicle Imagery.

Deep Neural Networks Based Multiclass Animal Detection and Classification in Drone Imagery (2023)
Presentation / Conference Contribution
Chen, C., Edirisinghe, E., Leonce, A., Simkins, G., Khafaga, T., Sher Shah, M., & Yahya, U. (2023, October). Deep Neural Networks Based Multiclass Animal Detection and Classification in Drone Imagery. Presented at 2023 International Symposium on Networks, Computers and Communications (ISNCC), Doha, Qatar

There is a growing interest among the research community in the search for possible technology-driven strategies for the conservation of the much-needed, historically rich and culturally important, desert life. In this work, we investigate the use of... Read More about Deep Neural Networks Based Multiclass Animal Detection and Classification in Drone Imagery.

Skew Bracoids (2023)
Journal Article
Truman, P., & Martin-Lyons, I. (2024). Skew Bracoids. Journal of Algebra, 638, 751-787. https://doi.org/10.1016/j.jalgebra.2023.10.005

Skew braces are intensively studied owing to their wide ranging connections and applications. We generalize the definition of a skew brace to give a new algebraic object, which we term a \textit{skew bracoid}. Our construction involves two groups int... Read More about Skew Bracoids.

Apparent singularities of the finite-depth Zakharov equation (2023)
Journal Article
Pezzutto, P., & Shrira, V. I. (2023). Apparent singularities of the finite-depth Zakharov equation. Journal of Fluid Mechanics, 972, https://doi.org/10.1017/jfm.2023.729

The description of weakly nonlinear water-wave evolution over a horizontal bottom by the integro-differential Zakharov equation, because of utilising the underlying Hamiltonian structure, has many advantages over direct use of the Euler equations. Ho... Read More about Apparent singularities of the finite-depth Zakharov equation.

Expedient, Affective, and Sustained Solidarities? Mediated Contestations of Islamophobia in the Case of Brexit, the Christchurch Terror Attack, and the COVID-19 Pandemic (2023)
Journal Article
Poole, E., Giraud, E. H., Richardson, J. E., & de Quincey, E. (2023). Expedient, Affective, and Sustained Solidarities? Mediated Contestations of Islamophobia in the Case of Brexit, the Christchurch Terror Attack, and the COVID-19 Pandemic. Social Media + Society, 9(3), 1-16. https://doi.org/10.1177/20563051231199452

This article advances research on mediated solidarity, by analyzing the contestation of Islamophobia on the social media platform Twitter, in the context of Brexit, the Christchurch terror attack, and the COVID-19 pandemic. Drawing on a unique longit... Read More about Expedient, Affective, and Sustained Solidarities? Mediated Contestations of Islamophobia in the Case of Brexit, the Christchurch Terror Attack, and the COVID-19 Pandemic.

Discovering asymptotic expansions for problems in mechanics using symbolic regression (2023)
Journal Article
Abdusalamov, R., Kaplunov, J., & Itskov, M. (in press). Discovering asymptotic expansions for problems in mechanics using symbolic regression. Mechanics Research Communications, 133, Article 104197. https://doi.org/10.1016/j.mechrescom.2023.104197


Recently, symbolic regression (SR) has demonstrated its efficiency for discovering basic governing relations in physical systems. A major impact can be potentially achieved by coupling symbolic regression with asymptotic methodolog... Read More about Discovering asymptotic expansions for problems in mechanics using symbolic regression.