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StructureNet: Deep Context Attention Learning for Structural Component Recognition (2022)
Presentation / Conference Contribution
Kaothalkar, A., Mandal, B., & Puhan, N. (2022, February). StructureNet: Deep Context Attention Learning for Structural Component Recognition. Presented at 17th International Conference on Computer Vision Theory and Applications, Virtual

Structural component recognition using images is a very challenging task due to the appearance of large components and their long continuation, existing jointly with very small components, the latter are often outcasted/missed by the existing methodo... Read More about StructureNet: Deep Context Attention Learning for Structural Component Recognition.

Homogenized equation of second-order accuracy for conductivity of laminates (2022)
Journal Article
Kaplunov, J., Prikazchikova, L., & Panasenko, G. (2022). Homogenized equation of second-order accuracy for conductivity of laminates. Applicable Analysis, 101(11), 1 - 9. https://doi.org/10.1080/00036811.2022.2027387

The high order homogenization techniques potentially generate the so-called infinite order homogenized equations. Since long ago, the coefficients at higher order derivatives in these equations have been calculated within various refined theories for... Read More about Homogenized equation of second-order accuracy for conductivity of laminates.

Axisymmetric necking versus Treloar–Kearsley instability in a hyperelastic sheet under equibiaxial stretching (2022)
Journal Article
Fu. (2022). Axisymmetric necking versus Treloar–Kearsley instability in a hyperelastic sheet under equibiaxial stretching. Mathematics and Mechanics of Solids, https://doi.org/10.1177/10812865211072897

We consider bifurcations from the homogeneous solution of a circular or square hyperelastic sheet that is subjected to equibiaxial stretching under either force- or displacement-controlled edge conditions. We derive the condition for axisymmetric nec... Read More about Axisymmetric necking versus Treloar–Kearsley instability in a hyperelastic sheet under equibiaxial stretching.

Stabilisation of exact coherent structures in two-dimensional turbulence using time-delayed feedback (2022)
Journal Article
Lucas, D., & Yasuda, T. (2022). Stabilisation of exact coherent structures in two-dimensional turbulence using time-delayed feedback. Physical Review Fluids, https://doi.org/10.1103/PhysRevFluids.7.014401

Time-delayed feedback control, attributed to Pyragas (1992 Physics Letters 170(6) 421-428), is a method known to stabilise periodic orbits in low dimensional chaotic dynamical systems. A system of the form $\dot{\mathbf{x}}(t)=f(\mathbf{x})$ has an a... Read More about Stabilisation of exact coherent structures in two-dimensional turbulence using time-delayed feedback.

Non-Newtonian and viscoplastic models of a vertically-aligned thick liquid film draining due to gravity (2022)
Journal Article
Naire, S., & Alahmadi, H. N. (2022). Non-Newtonian and viscoplastic models of a vertically-aligned thick liquid film draining due to gravity. Physics of Fluids, 34(1), https://doi.org/10.1063/5.0075248

We consider theoretically the two-dimensional flow in a vertically-aligned thick liquid film supported at the top and bottom by wire frames. The film gradually thins as the liquid drains due to gravity. We focus on investigating the influence of non-... Read More about Non-Newtonian and viscoplastic models of a vertically-aligned thick liquid film draining due to gravity.

Identification of metallic objects using spectral magnetic polarizability tensor signatures: Object classification (2022)
Journal Article
Wilson, B. A., Ledger, P. D., & Lionheart, W. R. B. (2022). Identification of metallic objects using spectral magnetic polarizability tensor signatures: Object classification. International Journal for Numerical Methods in Engineering, 123(9), 2076-2111. https://doi.org/10.1002/nme.6927

The early detection of terrorist threat objects, such as guns and knives, through improved metal detection, has the potential to reduce the number of attacks and improve public safety and security. To achieve this, there is considerable potential to... Read More about Identification of metallic objects using spectral magnetic polarizability tensor signatures: Object classification.

Low-frequency vibrations of a thin-walled functionally graded cylinder (plane strain problem) (2022)
Journal Article
Ege, N., Erbas, B., Kaplunov, J., & Noori, N. (2022). Low-frequency vibrations of a thin-walled functionally graded cylinder (plane strain problem). Mechanics of Advanced Materials and Structures, https://doi.org/10.1080/15376494.2022.2028948

Low frequency vibrations of a thin walled functionally graded cylinder are considered within the plane strain framework. The dynamic relations in elasticity are subject to asymptotic analysis over cylinder cross section resulting in a consistent appr... Read More about Low-frequency vibrations of a thin-walled functionally graded cylinder (plane strain problem).

Scalability resilience framework using application-level fault injection for cloud-based software services (2022)
Journal Article
Al-Said Ahmad, A., & Andras, P. (2022). Scalability resilience framework using application-level fault injection for cloud-based software services. Journal of Cloud Computing: Advances, Systems and Applications, 11, Article 1. https://doi.org/10.1186/s13677-021-00277-z

This paper presents an investigation into the effect of faults on the scalability resilience of cloud-based software services. The study introduces an experimental framework using the Application-Level Fault Injection (ALFI) to investigate how the fa... Read More about Scalability resilience framework using application-level fault injection for cloud-based software services.

On integral and differential formulations in nonlocal elasticity (2022)
Journal Article
Prikazchikova, L., Kaplunov, J., & Prikazchikov, D. A. (2022). On integral and differential formulations in nonlocal elasticity. European Journal of Mechanics - A/Solids, 100, Article 104497. https://doi.org/10.1016/j.euromechsol.2021.104497

The paper is concerned with comparative analysis of differential and integral formulations for boundary value problems in nonlocal elasticity. For the sake of simplicity, the focus is on an antiplane problem for a half-space for an exponential kernel... Read More about On integral and differential formulations in nonlocal elasticity.

Deep neural network based date palm tree detection in drone imagery (2022)
Journal Article
Jintasuttisak, T., Edirisinghe, E., & Elbattay, A. (2022). Deep neural network based date palm tree detection in drone imagery. Computers and Electronics in Agriculture, 106560 - 106560. https://doi.org/10.1016/j.compag.2021.106560

Date palm trees are an important economic crop in the Arabian Peninsula, Middle East, and North Africa. Counting the numbers and determining the locations of date palm trees are important for predicting the date production and plantation management.... Read More about Deep neural network based date palm tree detection in drone imagery.

What Makes an Industrial Control System Security Testbed Credible and Acceptable? Towards a Design Consideration Framework (2021)
Presentation / Conference Contribution
Ani, U., & Watson, J. What Makes an Industrial Control System Security Testbed Credible and Acceptable? Towards a Design Consideration Framework. Presented at 11th International Conference on Simulation and Modeling Methodologies, Technologies and Applications, Online

The convergence of Industrial Control System (ICS) with Information Technologies (IT) coupled with the resulting and widely publicized cyber security incidents have made ICS security and resilience issues of critical concern to operators and governme... Read More about What Makes an Industrial Control System Security Testbed Credible and Acceptable? Towards a Design Consideration Framework.

Bayesian inversion for anisotropic hydraulic phase-field fracture (2021)
Journal Article
Noii, N., Khodadadian, A., & Wick, T. (2021). Bayesian inversion for anisotropic hydraulic phase-field fracture. Computer Methods in Applied Mechanics and Engineering, 386, Article 114118. https://doi.org/10.1016/j.cma.2021.114118

In this work, we employ a Bayesian inversion framework to fluid-filled phase-field fracture. We develop a robust and efficient numerical algorithm for hydraulic phase-field fracture toward transversely isotropic and orthotropy anisotropic fracture. I... Read More about Bayesian inversion for anisotropic hydraulic phase-field fracture.

Evaluating the clinical decision making of physiotherapists in the assessment and management of paediatric shoulder instability (2021)
Journal Article
Philp, F., Faux-Nightingale, A., Woolley, S., de Quincey, E., & Pandyan, A. (2022). Evaluating the clinical decision making of physiotherapists in the assessment and management of paediatric shoulder instability. Physiotherapy (de Gruyter), 115, 46-57. https://doi.org/10.1016/j.physio.2021.12.330

Objective To elicit what information and clinical decision-making processes physiotherapists use in the assessment and management of paediatric shoulder instability.

Design Qualitative study. A modified nominal focus group technique, involving thr... Read More about Evaluating the clinical decision making of physiotherapists in the assessment and management of paediatric shoulder instability.

User-Centred Guidelines for the Design of Curriculum Analytics Dashboards (2021)
Book Chapter
de Quincey, E., & Parker, M. (2021). User-Centred Guidelines for the Design of Curriculum Analytics Dashboards. . Springer. https://doi.org/10.1007/978-3-030-81222-5_23

This chapter reports an investigation into the use of learning data to inform annual curriculum/module review and the curriculum development process. Utilising a user-centred design approach to understand current processes and stakeholders needs, 41... Read More about User-Centred Guidelines for the Design of Curriculum Analytics Dashboards.

Perturbed Composite Attention Model for Macular Optical Coherence Tomography Image Classification (2021)
Journal Article
Mishra, S. S., Mandal, B., & Puhan, N. B. (2021). Perturbed Composite Attention Model for Macular Optical Coherence Tomography Image Classification. IEEE Transactions on Artificial Intelligence, 3(4), 625-635. https://doi.org/10.1109/tai.2021.3135797

In this article, we propose a deep architecture stemming from a perturbed composite attention mechanism with the following two novel attention modules: Multilevel perturbed spatial attention (MPSA) and multidimension attention (MDA) for macular optic... Read More about Perturbed Composite Attention Model for Macular Optical Coherence Tomography Image Classification.

An Experimental Performance Evaluation of Cloud-API-Based Applications (2021)
Journal Article
Abuzrieq, Y., Al-Said Ahmad, A.-S., & Younes, M. (2021). An Experimental Performance Evaluation of Cloud-API-Based Applications. Future Internet, 314 - 314. https://doi.org/10.3390/fi13120314

Cloud Application Programming Interfaces (APIs) have been developed to link several cloud computing applications together. API-based applications are widely used to provide flexible and reliable services over cloud platforms. Recently, a huge number... Read More about An Experimental Performance Evaluation of Cloud-API-Based Applications.

Deep Learning based Emotion Classification with Temporal Pupillometry Sequences (2021)
Presentation / Conference Contribution
Rafique, S., Kanwal, N., Samar Ansari, M., Asghar, M., & Akhtar, Z. (2021, December). Deep Learning based Emotion Classification with Temporal Pupillometry Sequences. Presented at 2021 International Conference on Electrical, Computer and Energy Technologies (ICECET), Cape Town, South Africa

In the recent era, automatic systems are the necessity of science. Systems for recognizing human emotions have gained popularity in various areas of knowledge specifically psychologists and psycho-physiologists. The interaction of the human-computer... Read More about Deep Learning based Emotion Classification with Temporal Pupillometry Sequences.