Outputs (330)

Enhancing Supercapacitor Electrochemical Performance with 3D Printed Cellular PEEK/MWCNT Electrodes Coated with PEDOT: PSS (2024)
Journal Article
Chandran, A. C. S., Schneider, J., Nair, R., Buchanan, B., Gadegaard, N., Hogg, R., Kumar, S., & Manjakkal, L. (in press). Enhancing Supercapacitor Electrochemical Performance with 3D Printed Cellular PEEK/MWCNT Electrodes Coated with PEDOT: PSS. ACS Omega, 9(31), 33998-34007. https://doi.org/10.1021/acsomega.4c04576

In this study, we examine the electrochemical performance of supercapacitor (SC) electrodes made from 3D-printed nanocomposites. These composites consist of multiwalled carbon nanotubes (MWCNTs) and polyether ether ketone (PEEK), coated with poly­(3,... Read More about Enhancing Supercapacitor Electrochemical Performance with 3D Printed Cellular PEEK/MWCNT Electrodes Coated with PEDOT: PSS.

A CNN pruning approach using constrained binary particle swarm optimization with a reduced search space for image classification (2024)
Journal Article
Tmamna, J., Ayed, E. B., Fourati, R., Hussain, A., & Ayed, M. B. (2024). A CNN pruning approach using constrained binary particle swarm optimization with a reduced search space for image classification. Applied Soft Computing, 164, Article 111978. https://doi.org/10.1016/j.asoc.2024.111978

Deep convolutional neural networks (CNNs) have exhibited exceptional performance in a range of computer vision tasks. However, these deep CNNs typically demand significant computational resources, which not only hinders their practical deployment but... Read More about A CNN pruning approach using constrained binary particle swarm optimization with a reduced search space for image classification.

H∞ High-Order Repetitive Control for Functional Electrical Stimulation in Intention Tremor Suppression (2024)
Journal Article
Zhang, Z., Huo, B., Liu, Y., Dong, A., & Yu, H. (online). H∞ High-Order Repetitive Control for Functional Electrical Stimulation in Intention Tremor Suppression. IEEE Transactions on Automation Science and Engineering, https://doi.org/10.1109/tase.2024.3427638

Intention tremor is a rhythmic and involuntary limb swing movement that causes significant inconvenience to the daily life of patients. Repetitive control is suitable for functional-electrical-stimulation-based intention tremor suppression because it... Read More about H∞ High-Order Repetitive Control for Functional Electrical Stimulation in Intention Tremor Suppression.

Optimizing DMF Utilization for Improved MXene Dispersions in Epoxy Nanocomposites (2024)
Preprint / Working Paper
Ali Janjua, A., Younas, M., Ahmad Ilyas, R., Shyha, I., Haque Faisal, N., Inam, F., & Shahneel Saharudin, M. Optimizing DMF Utilization for Improved MXene Dispersions in Epoxy Nanocomposites

Dimethylformamide (DMF), a polar solvent, is commonly used for preparing graphene/epoxy nanocomposites. While commonly previous research has predominantly highlighted the improvement in physio-mechanical properties of these nanocomposites, the effect... Read More about Optimizing DMF Utilization for Improved MXene Dispersions in Epoxy Nanocomposites.

Towards a Cyberbullying Detection Approach: Fine-Tuned Contrastive Self- Supervised Learning for Data Augmentation (2024)
Journal Article
Alharigy, L., Alnuaim, H., Moradpoor, N., & Tan, T. (online). Towards a Cyberbullying Detection Approach: Fine-Tuned Contrastive Self- Supervised Learning for Data Augmentation. International Journal of Data Science and Analytics, https://doi.org/10.1007/s41060-024-00607-9

Cyberbullying on social media platforms is pervasive and challenging to detect due to linguistic subtleties and the need for extensive data annotation. We introduce a Deep Contrastive Self-Supervised Learning (DCSSL) model that integrates a Natural L... Read More about Towards a Cyberbullying Detection Approach: Fine-Tuned Contrastive Self- Supervised Learning for Data Augmentation.

Makazi SHELTERs (2024)
Digital Artefact
Eltaweel, A. (2024). Makazi SHELTERs. [YouTube video]

A Transformer-Based Network With Feature Complementary Fusion for Crack Defect Detection (2024)
Journal Article
Ma, M., Yang, L., Liu, Y., & Yu, H. (2024). A Transformer-Based Network With Feature Complementary Fusion for Crack Defect Detection. IEEE Transactions on Intelligent Transportation Systems, 25(11), 16989-17006. https://doi.org/10.1109/tits.2024.3421331

Pavement crack detection poses a formidable challenge due to the intricate texture structures of cracks and the complex environmental settings in which they are situated. In recent years, the advancement of deep learning techniques has prompted a sur... Read More about A Transformer-Based Network With Feature Complementary Fusion for Crack Defect Detection.

Implementing responsible innovation: the role of the meso-level(s) between project and organisation (2024)
Journal Article
Stahl, B. C., Portillo, V., Wagner, H., Craigon, P. J., Darzentas, D., De Ossorno Garcia, S., Dowthwaite, L., Greenhalgh, C., Middleton, S. E., Nichele, E., Wagner, C., & Webb, H. (2024). Implementing responsible innovation: the role of the meso-level(s) between project and organisation. Journal of Responsible Innovation, 11(1), Article 2370934. https://doi.org/10.1080/23299460.2024.2370934

Much of academic discussion of responsible innovation (RI) has focused on RI integration into research projects. In addition, significant attention has also been paid to RI structures and policies at the research policy and institutional level. This... Read More about Implementing responsible innovation: the role of the meso-level(s) between project and organisation.

Addressing the traveling salesperson problem with frequency fitness assignment and hybrid algorithms (2024)
Journal Article
Liang, T., Wu, Z., Lässig, J., van den Berg, D., Thomson, S. L., & Weise, T. (2024). Addressing the traveling salesperson problem with frequency fitness assignment and hybrid algorithms. Soft Computing, 28, 9495–9508. https://doi.org/10.1007/s00500-024-09718-8

The traveling salesperson problem (TSP) is one of the most iconic hard optimization tasks. With frequency fitness assignment (FFA), a new approach to optimization has recently been proposed: instead of directing the search towards better solutions, t... Read More about Addressing the traveling salesperson problem with frequency fitness assignment and hybrid algorithms.

Performance Evaluation of Edge-Based Segmentation Methods for Electrical Tree Image Analysis in High-Voltage Experiments (2024)
Journal Article
Mohd Isa, M. A., Azahari, M. F., Rohani, M. N. K. H., Ismail, B., Rosmi, A. S., Jamil, M. K., Mansor, N. S., Mas'ud, A. A., & Muhammad-Sukki, F. (2025). Performance Evaluation of Edge-Based Segmentation Methods for Electrical Tree Image Analysis in High-Voltage Experiments. Journal of Advanced Research in Applied Sciences and Engineering Technology, 48(1), 213-226. https://doi.org/10.37934/araset.48.1.213226

This research evaluates the performance of edge-based segmentation methods in analysing two-dimensional (2D) electrical tree images obtained during high-voltage (HV) electrical tree experiments. Non-uniform illumination in 2D optical images poses cha... Read More about Performance Evaluation of Edge-Based Segmentation Methods for Electrical Tree Image Analysis in High-Voltage Experiments.