All Outputs (69)

An optimized prediction of FRP bars in concrete bond strength employing soft computing techniques (2024)
Journal Article
Al-Hamd, R. K. S., Albostami, A. S., Alzabeebee, S., & Al-Bander, B. (2024). An optimized prediction of FRP bars in concrete bond strength employing soft computing techniques. Journal of Building Engineering, 86, Article 108883. https://doi.org/10.1016/j.jobe.2024.108883

The precise estimation of the bonding strength between concrete and fiber-reinforced polymer (FRP) bars holds significant importance for reinforced concrete structures. This study introduces a new methodology that utilizes soft computing methods to e... Read More about An optimized prediction of FRP bars in concrete bond strength employing soft computing techniques.

Taxonomy of Emerging Security Risks in Digital Railway (2024)
Presentation / Conference Contribution
Al-Mhiqani, M., Ani, U., Watson, J., & He, H. (2023, July). Taxonomy of Emerging Security Risks in Digital Railway. Presented at CYBER SCIENCE 2023, University of Aalborg, Copenhagen, Denmark

The railway industry has embraced digitisation and interconnectivity by introducing Information and Communication Technologies into traditional operational technology infrastructure. This convergence has brought numerous advantages, including improve... Read More about Taxonomy of Emerging Security Risks in Digital Railway.

On the incremental equations in surface elasticity (2024)
Journal Article
Yu, X., & Fu, Y. (in press). On the incremental equations in surface elasticity. Mathematics and Mechanics of Solids, https://doi.org/10.1177/10812865231226183

We derive the incremental equations for a hyperelastic solid that incorporate surface tension effect by assuming that the surface energy is a general function of the surface deformation gradient. The incremental equations take the same simple form as... Read More about On the incremental equations in surface elasticity.

'Hypocrite!' Affective and argumentative engagement on Twitter, following the Christchurch terrorist attack (2024)
Journal Article
de Quincey, E., Richardson, J. E., Giraud, E. H., & Poole, E. (2024). 'Hypocrite!' Affective and argumentative engagement on Twitter, following the Christchurch terrorist attack. Media, Culture and Society, https://doi.org/10.1177/01634437241229322

This article intervenes in debates about whether public-facing social media enable the rapid spread of hate speech, or whether these platforms can offer valuable opportunities to contest it. Advancing scholarship on ‘networked counter-publics’ and re... Read More about 'Hypocrite!' Affective and argumentative engagement on Twitter, following the Christchurch terrorist attack.

Barriers to device longevity and reuse: A vintage device empirical study (2024)
Journal Article
Goodwin, C., & Woolley, S. (2024). Barriers to device longevity and reuse: A vintage device empirical study. Journal of Systems and Software, 211, Article 111991. https://doi.org/10.1016/j.jss.2024.111991

This extended paper contributes a methodology and a detailed analysis of app installation and functionality on a ‘vintage’ device. Experimental results are presented that demonstrate barriers to the reuse of vintage Apple devices, and solutions are p... Read More about Barriers to device longevity and reuse: A vintage device empirical study.

Elastic bending and transverse compression of a thin plate with density-dependent Young’s modulus (2024)
Journal Article
Erbaş, B., Kaplunov, J., & Rajagopal, K. R. (2024). Elastic bending and transverse compression of a thin plate with density-dependent Young’s modulus. International Journal of Non-Linear Mechanics, 160, Article 104651. https://doi.org/10.1016/j.ijnonlinmec.2024.104651

The equilibrium equation governing the plane strain static problem for a thin elastic layer is studied using asymptotic analysis for a material with generalized Young’s modulus weakly dependent on the mass density. Within the context of the adopted s... Read More about Elastic bending and transverse compression of a thin plate with density-dependent Young’s modulus.

Interaction of in-plane waves with a structured penetrable line defect in an elastic lattice (2024)
Journal Article
Nieves, M., & Sharma, B. (2024). Interaction of in-plane waves with a structured penetrable line defect in an elastic lattice. International Journal of Engineering Science, 197, Article 104011. https://doi.org/10.1016/j.ijengsci.2023.104011

We consider the scattering of in-plane waves that interact with an edge of a structured penetrable inertial line defect contained in a triangular lattice, composed of periodically placed masses interconnected by massless elastic rods. The steady stat... Read More about Interaction of in-plane waves with a structured penetrable line defect in an elastic lattice.

Deep Learning Based Lightweight Model for Brain Tumor Classification and Segmentation (2024)
Book Chapter
Andleeb, I., Hussain, B. Z., Ansari, S., Ansari, M. S., Kanwal, N., & Aslam, A. (2024). Deep Learning Based Lightweight Model for Brain Tumor Classification and Segmentation. In Advances in Computational Intelligence Systems (491-503). Springer Nature [academic journals on nature.com]. https://doi.org/10.1007/978-3-031-47508-5_38

This paper presents two lightweight deep learning models for efficient detection and segmentation of brain tumors from MRI scans. A custom-made Convolutional Neural Network (CNN) is designed for identification of four different classes of brain tumor... Read More about Deep Learning Based Lightweight Model for Brain Tumor Classification and Segmentation.

Deep reinforcement learning for microstructural optimisation of silica aerogels (2024)
Journal Article
Pandit, P., Abdusalamov, R., Itskov, M., & Rege, A. (in press). Deep reinforcement learning for microstructural optimisation of silica aerogels. Scientific Reports, 14(1), 1511. https://doi.org/10.1038/s41598-024-51341-y

Silica aerogels are being extensively studied for aerospace and transportation applications due to their diverse multifunctional properties. While their microstructural features dictate their thermal, mechanical, and acoustic properties, their accura... Read More about Deep reinforcement learning for microstructural optimisation of silica aerogels.