All Outputs (11158)

Podcasting the archive: An evaluation of audience engagement with a narrative non-fiction podcast series (2024)
Journal Article
Ryan, B., Hall, H., Wilson, M., & McGregor, I. (in press). Podcasting the archive: An evaluation of audience engagement with a narrative non-fiction podcast series. Archives: The Journal of the British Records Association,

The purpose of the empirical work discussed in this paper was to explore the theme of audience engagement with digitised archive data in different formats. A comparison is drawn between experiences of interacting with an archive presented as a narrat... Read More about Podcasting the archive: An evaluation of audience engagement with a narrative non-fiction podcast series.

Compact reconfigurable MIMO antenna for 5G and Wi-Fi applications (2024)
Journal Article
Mshwat, W. A., Kosha, J., Salisu, A., Ullah, A., Ali, N. T., Issa, E., See, C. H., Zebiri, C., Rodriguez, J., & Abd-Alhameed, R. (2024). Compact reconfigurable MIMO antenna for 5G and Wi-Fi applications. IEEE Access, 12, https://doi.org/10.1109/ACCESS.2024.3440653

Four miniaturized four-element multiple-input multiple-output (MIMO) antenna designs are proposed, designed, and fabricated with dimensions of 26 mm x 26 mm x 0.8 mm each. The first MIMO design operates at 3.5 GHz, while the second operates at 5.2 GH... Read More about Compact reconfigurable MIMO antenna for 5G and Wi-Fi applications.

Revolutionising orthopaedic implants—a comprehensive review on metal 3D printing with materials, design strategies, manufacturing technologies, and post-process machining advancements (2024)
Journal Article
Shaikh, M., Kahwash, F., Lu, Z., Alkhreisat, M., Mohammad, A., & Shyha, I. (2024). Revolutionising orthopaedic implants—a comprehensive review on metal 3D printing with materials, design strategies, manufacturing technologies, and post-process machining advancements. International Journal of Advanced Manufacturing Technology, 134, 1043-1076. https://doi.org/10.1007/s00170-024-14218-y

This paper conceptualises an understanding of advanced manufacturing methods to develop 3D-printed metallic orthopaedic implants, including a brief discussion on post-process machining. The significance of Metallic Additive Manufacturing (MAM) and it... Read More about Revolutionising orthopaedic implants—a comprehensive review on metal 3D printing with materials, design strategies, manufacturing technologies, and post-process machining advancements.

Development of Digital Twin System for Cloud of Things (2024)
Book Chapter
Bozkaya-Aras, E., Canberk, B., & Schmid, S. (2024). Development of Digital Twin System for Cloud of Things. In J. Kumar, G. Gangadharan, A. Kumar Singh, & C.-N. Lee (Eds.), Cloud of Things: Foundations, Applications, and Challenges. CRC Press. https://doi.org/10.1201/9781003390954-2

New technologies emerging with Industry 4.0 have led to an increase in capabilities in communication networks and a change in lifestyle. In particular, Internet of Things (IoT) services have reshaped the way people interact with the world. IoT establ... Read More about Development of Digital Twin System for Cloud of Things.

BOAZ, Yet Another Layered Evasion Tool: Evasion Tool Evaluations and AV Testing (2024)
Presentation / Conference Contribution
Macfarlane, R., & Xuan Meng, T. (2024, August). BOAZ, Yet Another Layered Evasion Tool: Evasion Tool Evaluations and AV Testing. Presented at blackhat USA 2024, Las Vegas, US

In the rapidly evolving landscape of cybersecurity, there has been an increasing deployment of evasion techniques in organizational vulnerability assessments and found post-discovery of security incidents, owing to the more sophisticated defense mech... Read More about BOAZ, Yet Another Layered Evasion Tool: Evasion Tool Evaluations and AV Testing.

The Easiest Hard Problem: Now Even Easier (2024)
Presentation / Conference Contribution
Horn, R., Thomson, S. L., van den Berg, D., & Adriaans, P. (2024, July). The Easiest Hard Problem: Now Even Easier. Presented at ACM Genetic and Evolutionary Computation Conference (GECCO) 2024, Melbourne, Australia

We present an exponential decay function that characterizes the number of solutions to instances of the Number Partitioning Problem (NPP) with uniform distribution of bits across the integers. This function is fitted on the number of optimal solution... Read More about The Easiest Hard Problem: Now Even Easier.

Exploring the use of fitness landscape analysis for understanding malware evolution (2024)
Presentation / Conference Contribution
Babaagba, K., Murali, R., & Thomson, S. L. (2024, July). Exploring the use of fitness landscape analysis for understanding malware evolution. Presented at ACM Genetic and Evolutionary Computation Conference (GECCO) 2024, Melbourne, Australia

We conduct a preliminary study exploring the potential of using fitness landscape analysis for understanding the evolution of malware. This type of optimisation is fairly new and has not previously been studied through the lens of landscape analysis.... Read More about Exploring the use of fitness landscape analysis for understanding malware evolution.

‘It’s NOT in the Game’ – Commemoration and Commerce in EA Sports FIFA Franchise (2024)
Book Chapter
Donald, I. ‘It’s NOT in the Game’ – Commemoration and Commerce in EA Sports FIFA Franchise. In The Interactive Past Re-Imagined: New Horizons of Video Games, History, and Archaeology. Sidestone Press

In 2023 witnessed a seismic shift in the world of virtual football as the licensing agreement between EA Sports and FIFA (the governing body of football) that had existed since 1993 came to an end and it was announced that going forward FIFA (the gam... Read More about ‘It’s NOT in the Game’ – Commemoration and Commerce in EA Sports FIFA Franchise.

Review of recent advances in lithium extraction from subsurface brines (2024)
Journal Article
Disu, B., Rafati, R., Sharifi Haddad, A., Mendoza Roca, J. A., Iborra Clar, M. I., & Soleymani Eil Bakhtiari, S. (2024). Review of recent advances in lithium extraction from subsurface brines. Geoenergy Science and Engineering, 241, Article 213189. https://doi.org/10.1016/j.geoen.2024.213189

Lithium has been a critical metal for energy transition, mainly because of its application as an energy storage matrix, which has seen its demand increasing exponentially in the last decades. To supply the current demand chain and overcome the geogra... Read More about Review of recent advances in lithium extraction from subsurface brines.

Workplace Mentor Training for Inclusion: Training resources for work-based learning mentors (2024)
Digital Artefact
Taylor-Smith, E., Smith, S., Cecil, M., & Scott, A. (2024). Workplace Mentor Training for Inclusion: Training resources for work-based learning mentors. [Blog]

This is a resource for work-based learning mentors, with a special focus on mentoring for inclusion, featuring Key Elements of Inclusion for Mentors infographic and Intro to Inclusion animation.

It grew out of a collaborative research project betw... Read More about Workplace Mentor Training for Inclusion: Training resources for work-based learning mentors.

U-Shape Lossy Mode Resonance Optical Fiber Sensor for Temperature Detection of Lithium-Ion Batteries (2024)
Presentation / Conference Contribution
Alcock, K. M., Goh, K., Beg, M., Melendi-Espina, S., & Hernaez, M. (2024, September). U-Shape Lossy Mode Resonance Optical Fiber Sensor for Temperature Detection of Lithium-Ion Batteries. Poster presented at 2024 Frontiers in Optics + Laser Science meeting, Denver, Colorado , USA

This study develops a Polyethylenimine/Graphene Oxide thin film-based Lossy Mode Resonance U-shaped optical fiber sensor for lithium-ion battery temperature measurement. The study encourages further development of this device further as it compares w... Read More about U-Shape Lossy Mode Resonance Optical Fiber Sensor for Temperature Detection of Lithium-Ion Batteries.

An Overview of Electrical Vehicle and Smart Grid Technology (2024)
Book Chapter
Mas’ud, A. A., Wirba, A. V., Muhammad Sukki, F., & Sha’aban, Y. A. (2024). An Overview of Electrical Vehicle and Smart Grid Technology. In A. Yunusa-Kaltungo (Ed.), Key Themes in Energy Management (71-90). Springer Publishing Company. https://doi.org/10.1007/978-3-031-58086-4_5

This chapter provides a comprehensive analysis of the present state of knowledge regarding future interactions between electric vehicles (EVs) and the smart grid. In particular, the integration of smart infrastructure with renewable energy sources (R... Read More about An Overview of Electrical Vehicle and Smart Grid Technology.

Smarter Facility Layout Design: Leveraging Worker Localisation Data to Minimise Travel Time and Alleviate Congestion (2024)
Journal Article
Aslan, A., Vasantha, G., El-Raoui, H., Quigley, J., Hanson, J., Corney, J., & Sherlock, A. (online). Smarter Facility Layout Design: Leveraging Worker Localisation Data to Minimise Travel Time and Alleviate Congestion. International Journal of Production Research, https://doi.org/10.1080/00207543.2024.2374847

This paper introduces a novel methodology leveraging worker localisation data from ultrawide-band sensors to formulate alternative facility layouts aimed at minimising travel time and congestion in labour-intensive manufacturing systems. The system p... Read More about Smarter Facility Layout Design: Leveraging Worker Localisation Data to Minimise Travel Time and Alleviate Congestion.

UAVs and Blockchain Synergy: Enabling Secure Reputation-based Federated Learning in Smart Cities (2024)
Journal Article
Aqleem Abbas, S. M., Khan, M. A., Boulila, W., Kouba, A., Shahbaz Khan, M., & Ahmad, J. (2024). UAVs and Blockchain Synergy: Enabling Secure Reputation-based Federated Learning in Smart Cities. IEEE Access, 12, 154035-154053. https://doi.org/10.1109/access.2024.3432610

Unmanned aerial vehicles (UAVs) can be used as drones’ edge Intelligence to assist with data collection, training models, and communication over wireless networks. UAV use for smart cities is rapidly growing in various industries, including tracking... Read More about UAVs and Blockchain Synergy: Enabling Secure Reputation-based Federated Learning in Smart Cities.

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.

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.

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.

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.

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.

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