Outputs (69)

On the refined boundary condition at the edge of a thin elastic strip supported by a Winkler-type foundation under antiplane shear deformation (2024)
Journal Article
Prikazchikova, L., Nolde, E., Miszuris, W., & Kaplunov, J. (2024). On the refined boundary condition at the edge of a thin elastic strip supported by a Winkler-type foundation under antiplane shear deformation. International Journal of Engineering Science, 205, Article 104152. https://doi.org/10.1016/j.ijengsci.2024.104152

The derivation of the boundary conditions is the most challenging part of the asymptotic techniques underlying low-dimensional models for thin elastic structures. At the moment, these techniques do not take into consideration the effect of the enviro... Read More about On the refined boundary condition at the edge of a thin elastic strip supported by a Winkler-type foundation under antiplane shear deformation.

A reproducing kernel particle method (RKPM) algorithm for solving the tropical Pacific Ocean model (2024)
Journal Article
Abbaszadeh, M., Parvizi, M., Khodadadian, A., Wick, T., & Dehghan, M. (in press). A reproducing kernel particle method (RKPM) algorithm for solving the tropical Pacific Ocean model. Computers and Mathematics with Applications, 179, 197-211. https://doi.org/10.1016/j.camwa.2024.12.011

Meshless methods have become increasingly popular for solving a wide range of problems in both solid and fluid mechanics. In this study, we focus on a meshless numerical approach to solve the tropical Pacific Ocean model, which captures the horizonta... Read More about A reproducing kernel particle method (RKPM) algorithm for solving the tropical Pacific Ocean model.

Dynamically relevant recurrent flows obtained via a nonlinear recurrence function from two-dimensional turbulence (2024)
Journal Article
Redfern, E. M., Lazer, A. L., & Lucas, D. (in press). Dynamically relevant recurrent flows obtained via a nonlinear recurrence function from two-dimensional turbulence. Physical Review Fluids, 9(12), Article 124401. https://doi.org/10.1103/physrevfluids.9.124401

This paper demonstrates the efficient extraction of unstable recurrent flows from two-dimensional turbulence by using nonlinear triads to diagnose recurrence in direct numerical simulations. Nearly recurrent episodes are identified from simulations a... Read More about Dynamically relevant recurrent flows obtained via a nonlinear recurrence function from two-dimensional turbulence.

A reduced-order least squares-support vector regression and isogeometric collocation method to simulate Cahn-Hilliard-Navier-Stokes equation (2024)
Journal Article
Abbaszadeh, M., Khodadadian, A., Parvizi, M., Dehghan, M., & Xiao, D. (2025). A reduced-order least squares-support vector regression and isogeometric collocation method to simulate Cahn-Hilliard-Navier-Stokes equation. Journal of Computational Physics, 523, Article 113650. https://doi.org/10.1016/j.jcp.2024.113650

The coupled Cahn-Hilliard-Navier-Stokes equations are employed to model two-phase flow separation. To enhance computational efficiency, the pressure term is eliminated from the system of equations, leveraging the stream and vorticit... Read More about A reduced-order least squares-support vector regression and isogeometric collocation method to simulate Cahn-Hilliard-Navier-Stokes equation.

Interpretative Attention Networks for Structural Component Recognition (2024)
Presentation / Conference Contribution
Uniyal, A., Mandal, B., Puhan, N. B., & Bera, P. Interpretative Attention Networks for Structural Component Recognition. Presented at 27th International Conference on Pattern Recognition, Kolkata, India

Bridges are essential for enabling movement during environmental disasters and serve as crucial links for rescue and aid delivery. Effective bridge inspection and maintenance are more critical than ever due to increasing severity and frequency of env... Read More about Interpretative Attention Networks for Structural Component Recognition.

An Ensemble Modelling of Feature Engineering and Predictions for Enhanced Fake News Detection (2024)
Presentation / Conference Contribution
Asowo, P., Lal, S., & Ani, U. (2024, December). An Ensemble Modelling of Feature Engineering and Predictions for Enhanced Fake News Detection. Presented at AI-2024 Forty-fourth SGAI International Conference on Artificial Intelligence, CAMBRIDGE, ENGLAND

The threat of fake news jeopardizing the credibility of online
news platforms, particularly on social media, underscores the need for innovative solutions. This paper proposes a creative engine for detecting fake news, leveraging advanced machine le... Read More about An Ensemble Modelling of Feature Engineering and Predictions for Enhanced Fake News Detection.

Multimode long-wave approximation for a viscoelastic coating subject to antiplane shear (2024)
Journal Article
Erbaş, B., Itskov, M., Kaplunov, J., & Prikazchikov, D. (2024). Multimode long-wave approximation for a viscoelastic coating subject to antiplane shear. Zeitschrift für angewandte Mathematik und Physik, 75(6), Article 234. https://doi.org/10.1007/s00033-024-02382-w

A general asymptotic approach involving multimode long-wave approximations is illustrated by a 2D time-harmonic scalar problem for the dynamic antiplane shear of a viscoelastic coating. For the first time, a 1D equation of motion with the coefficient... Read More about Multimode long-wave approximation for a viscoelastic coating subject to antiplane shear.

Unlocking Trust: Advancing Activity Recognition in Video Imagery (2024)
Journal Article
Yousuf, M. J., Lee, B., Asghar, M. N., Ansari, M. S., & Kanwal, N. (2024). Unlocking Trust: Advancing Activity Recognition in Video Imagery. IEEE Access, 12, https://doi.org/10.1109/access.2024.3503284

Anonymous activity recognition is pivotal in addressing privacy concerns amidst the widespread use of facial recognition technologies (FRTs). While FRTs enhance security and efficiency, they raise significant privacy issues. Anonymous activity recogn... Read More about Unlocking Trust: Advancing Activity Recognition in Video Imagery.

Emotion Classification on Software Engineering Q&A Websites (2024)
Journal Article
Awovi Ahavi-Tete, D., & Sangeeta, S. (2025). Emotion Classification on Software Engineering Q&A Websites. e-Informatica Software Engineering Journal (EISEJ), 19(1), Article 250104. https://doi.org/10.37190/e-inf250104

Background: With the rapid proliferation of question-and-answer websites for software developers like Stack Overflow, there is an increasing need to discern developers’ emotions from their posts to assess the influence of these emotions on their prod... Read More about Emotion Classification on Software Engineering Q&A Websites.

Minimising cybersecurity risk exposures in industrial control system environments: a techno-human vulnerability analysis approach (2024)
Journal Article
Ani, U. D., Watson, J., He, H., Radanliev, P., & Epiphaniou, G. (in press). Minimising cybersecurity risk exposures in industrial control system environments: a techno-human vulnerability analysis approach. Journal of Cyber Security Technology, 1-40. https://doi.org/10.1080/23742917.2024.2421589

Organisations operating IoT-enabled industrial control systems (ICSs) are concerned about growing cybersecurity risks and impacts to their systems. Cyber-attacks on ICSs demonstrate that technology alone is neither a problem nor a solution to the gro... Read More about Minimising cybersecurity risk exposures in industrial control system environments: a techno-human vulnerability analysis approach.