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On the Performance of a Photonic Reconfigurable Electromagnetic Band Gap Antenna Array for 5G Applications (2024)
Journal Article
Elwi, T. A., Taher, F., Virdee, B. S., Alibakhshikenari, M., Zuazola, I. G., Krasniqi, A., Kamel, A. S., Tokan, N. T., Khan, S., Parchin, N. O., Livreri, P., Dayoub, I., Pau, G., Aïssa, S., Limiti, E., & Sree, M. F. A. (2024). On the Performance of a Pho

In this paper, a reconfigurable Multiple-Input Multiple-Output (MIMO) antenna array is presented for 5G portable devices. The proposed array consists of four radiating elements and an Electromagnetic Band Gap (EBG) structure. Planar monopole radiatin... Read More about On the Performance of a Photonic Reconfigurable Electromagnetic Band Gap Antenna Array for 5G Applications.

On the Integrity of Large-Scale Direct-Drive Wind Turbine Electrical Generator Structures: An Integrated Design Methodology for Optimisation, Considering Thermal Loads and Novel Techniques (2024)
Journal Article
Bichan, M., Jaen-Sola, P., Gonzalez-Delgado, D., & Oterkus, E. (2024). On the Integrity of Large-Scale Direct-Drive Wind Turbine Electrical Generator Structures: An Integrated Design Methodology for Optimisation, Considering Thermal Loads and Novel Techni

With the rapid expansion of offshore wind capacity worldwide, minimising operation and maintenance requirements is pivotal. Regarded as a low-maintenance alternative to conventional drivetrain systems, direct-drive generators are increasingly commonp... Read More about On the Integrity of Large-Scale Direct-Drive Wind Turbine Electrical Generator Structures: An Integrated Design Methodology for Optimisation, Considering Thermal Loads and Novel Techniques.

Adaptive Mobile Chargers Scheduling Scheme based on AHP-MCDM for WRSN (2024)
Journal Article
Makanda, K., Hawbani, A., Wang, . X., Naji, A., Al-Dubai, A., Zhao, L., & Alsamhi, S. H. (in press). Adaptive Mobile Chargers Scheduling Scheme based on AHP-MCDM for WRSN. IEEE Transactions on Sustainable Computing, https://doi.org/10.1109/TSUSC.2024.

Wireless Sensor Networks (WSNs) are used to sense and monitor physical conditions in various services and applications. However, there are a number of challenges in deploying WSNs, especially those pertaining to energy replenishment. Using the curre... Read More about Adaptive Mobile Chargers Scheduling Scheme based on AHP-MCDM for WRSN.

BM TRADA Webinar Part 2: Machine Strength Grading (2024)
Presentation / Conference Contribution
Ridley-Ellis, D. (2024, April). BM TRADA Webinar Part 2: Machine Strength Grading. Presented at BM TRADA Technical Timber Webinars 2024, Online

Strength grading of solid timber – overcoming some common misconceptions. Slides covering machine strength grading, stamps, and EN1912 revision

Making a Case for the Adoption of Industry 4.0 Technologies for Sustainable Housing Delivery in Saudi Arabia (2024)
Journal Article
Alhamoudi, A. M., & Osunsanmi, T. O. (2024). Making a Case for the Adoption of Industry 4.0 Technologies for Sustainable Housing Delivery in Saudi Arabia. Sustainability, 16(8), Article 3399. https://doi.org/10.3390/su16083399

The Kingdom of Saudi Arabia (KSA) grapples with the challenge of achieving sustainable housing delivery amidst rapid urbanization and rising construction costs. Current housing strategies have failed to offer a lasting solution to the crisis. To addr... Read More about Making a Case for the Adoption of Industry 4.0 Technologies for Sustainable Housing Delivery in Saudi Arabia.

A transformer-based approach empowered by a self-attention technique for semantic segmentation in remote sensing (2024)
Journal Article
Boulila, W., Ghandorh, H., Masood, S., Alzahem, A., Koubaa, A., Ahmed, F., Khan, Z., & Ahmad, J. (2024). A transformer-based approach empowered by a self-attention technique for semantic segmentation in remote sensing. Heliyon, 10(8), Article e29396. http

Semantic segmentation of Remote Sensing (RS) images involves the classification of each pixel in a satellite image into distinct and non-overlapping regions or segments. This task is crucial in various domains, including land cover classification, au... Read More about A transformer-based approach empowered by a self-attention technique for semantic segmentation in remote sensing.

Simulation of Partial Discharge Phenomenon in Epoxy-Resins Insulation Under Very Low and High Stressing Frequencies (2024)
Presentation / Conference Contribution
Aliyu, B. D., Rohani, M. N. K. H., Musa, U., Sulaiman, S. H., Jibril, Y., Mas'ud, A. A., …Jamil, A. I. M. (2024). Simulation of Partial Discharge Phenomenon in Epoxy-Resins Insulation Under Very Low and High Stressing Frequencies. In 2024 IEEE 4th Inte

Partial discharge (PD) degrades the quality of insulation systems, and its impact becomes even more severe with ageing. Several studies have revealed PD activity to be environmental and test factors dependent. Among the several test factors, the exci... Read More about Simulation of Partial Discharge Phenomenon in Epoxy-Resins Insulation Under Very Low and High Stressing Frequencies.

Scalable Machine Learning Architectures for IPA-Driven Maintenance Task Allocation in Large-Scale Building Portfolios (2024)
Presentation / Conference Contribution
Huang, Z., Liu, X., Romdhani, I., & Shih, C. (2024, August). Scalable Machine Learning Architectures for IPA-Driven Maintenance Task Allocation in Large-Scale Building Portfolios. Presented at The 7th International Conference on Information Science and Sy

This research presents a groundbreaking approach to Building Maintenance Management (BMM) by introducing an Intelligent Process Automation (IPA)-Driven Building Maintenance Management (IBMM) model. This innovative model harnesses the synergies betwee... Read More about Scalable Machine Learning Architectures for IPA-Driven Maintenance Task Allocation in Large-Scale Building Portfolios.

Researchers and Social Networking Sites usage: the application of UTAUT theory (2024)
Journal Article
Al Badi, A., & Rasmussen McAdie, D. (in press). Researchers and Social Networking Sites usage: the application of UTAUT theory. Global Knowledge, Memory and Communication, https://doi.org/10.1108/gkmc-10-2023-0394

Purpose (limit 100 words) This study aims to investigate the use of SNS by researchers and their behaviours when conducting research-related activities by applying the UTAUT theory Design/methodology/approach (limit 100 words) An online survey was di... Read More about Researchers and Social Networking Sites usage: the application of UTAUT theory.

SAR Ship Instance Segmentation With Dynamic Key Points Information Enhancement (2024)
Journal Article
Gao, F., Han, X., Wang, J., Sun, J., Hussain, A., & Zhou, H. (2024). SAR Ship Instance Segmentation With Dynamic Key Points Information Enhancement. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 17, 11365-11385. https:/

There are several unresolved issues in the field of ship instance segmentation in synthetic aperture radar (SAR) images. First, in inshore dense ship area, the problems of missed detections and mask overlap frequently occur. Second, in inshore scenes... Read More about SAR Ship Instance Segmentation With Dynamic Key Points Information Enhancement.

Advancing sustainable building through passive cooling with phase change materials, a comprehensive literature review (2024)
Journal Article
Ghamari, M., See, C. H., Hughes, D., Mallick, T., Reddy, K. S., Patchigolla, K., & Sundaram, S. (2024). Advancing sustainable building through passive cooling with phase change materials, a comprehensive literature review. Energy and Buildings, 312, Arti

Phase Change Materials (PCMs) present cutting-edge technology with substantial promise for advancing sustainable and energy-efficient cooling in buildings. These materials can absorb and release latent heat during phase transitions, facilitating ther... Read More about Advancing sustainable building through passive cooling with phase change materials, a comprehensive literature review.

A Comparison of the Efficiencies of various Structured and Semi- Structured Data Formats in Data Analysis and Big Data Analytic Development (2024)
Presentation / Conference Contribution
Peng, T., & Graham, H. (2024, July). A Comparison of the Efficiencies of various Structured and Semi- Structured Data Formats in Data Analysis and Big Data Analytic Development. Presented at DATA 2024: 13th International Conference on Data Science, Techno

As data volumes grow, so too does our need and ability to analyse it. Cloud computing technologies offer a wide variety of options for analysing big data and make this ability available to anyone. However, the monetary implications for doing this in... Read More about A Comparison of the Efficiencies of various Structured and Semi- Structured Data Formats in Data Analysis and Big Data Analytic Development.

Neurosymbolic learning in the XAI framework for enhanced cyberattack detection with expert knowledge integration (2024)
Presentation / Conference Contribution
Kalutharage, C. S., Liu, X., Chrysoulas, C., & Bamgboye, O. (2024, June). Neurosymbolic learning in the XAI framework for enhanced cyberattack detection with expert knowledge integration. Presented at The 39th International Conference on ICT Systems Secur

The perpetual evolution of cyberattacks, especially in the realm of Internet of Things (IoT) networks, necessitates advanced, adaptive, and intelligent defence mechanisms. The integration of expert knowledge can drastically enhance the efficacy of Io... Read More about Neurosymbolic learning in the XAI framework for enhanced cyberattack detection with expert knowledge integration.

An End-to-End Musical Instrument System That Translates Electromyogram Biosignals to Synthesized Sound (2024)
Journal Article
Tanaka, A., Visi, F., Di Donato, B., Klang, M., & Zbyszyński, M. (2024). An End-to-End Musical Instrument System That Translates Electromyogram Biosignals to Synthesized Sound. Computer Music Journal, 47(1), 64-84. https://doi.org/10.1162/comj_a_00672

This article presents a custom system combining hardware and sortware that sense physiological signals of the performer's body resulting from muscle contraction and translates them to computer-synthesized sound. Our goal was to build upon the history... Read More about An End-to-End Musical Instrument System That Translates Electromyogram Biosignals to Synthesized Sound.

Generative AI for Consumer Electronics: Enhancing User Experience with Cognitive and Semantic Computing (2024)
Journal Article
Chamola, V., Sai, S., Sai, R., Hussain, A., & Sikdar, B. (online). Generative AI for Consumer Electronics: Enhancing User Experience with Cognitive and Semantic Computing. IEEE Consumer Electronics Magazine, https://doi.org/10.1109/mce.2024.3387049

Generative Artificial Intelligence(GAI) models such as ChatGPT , DALL-E , and the recently introduced Gemini have attracted considerable interest in both business and academia because of their capacity to produce material in response to human inputs.... Read More about Generative AI for Consumer Electronics: Enhancing User Experience with Cognitive and Semantic Computing.

Framework for the UK Construction Industry Transition to Net Zero Design: A Delphi Techniques and Structural Equation Model Approach (2024)
Journal Article
Osunsanmi, T. O., Gillies-Denning, E., Khaddour, L., Olawumi, T. O., & Moobela, C. (online). Framework for the UK Construction Industry Transition to Net Zero Design: A Delphi Techniques and Structural Equation Model Approach. International journal of con

The shift towards net zero design for the construction industry poses complex challenges, which can be likened to a three-headed hydra embodying energy, water, and carbon emissions. The industry stakeholders have grappled with addressing the challeng... Read More about Framework for the UK Construction Industry Transition to Net Zero Design: A Delphi Techniques and Structural Equation Model Approach.

Digital and data literacy (2024)
Book Chapter
Osborne, N., Helgason, I., Lechelt, S., Michielin, L., Panneels, I., Parkinson, C., …Warren, K. (2024). Digital and data literacy. In Data Driven Innovation in the Creative Industries (71-100). London, UK: Routledge. https://doi.org/10.4324/97810033658

In this chapter we explore models for training and upskilling people in the creative industries in data, technology and entrepreneurial skills, situating this in the wider skills and training context. We will particularly look at the challenges of de... Read More about Digital and data literacy.

Data-driven innovation for sustainable practice in the creative economy (2024)
Book Chapter
Panneels, I., Lechelt, S., Schmidt, A., & Coşkun, A. (2024). Data-driven innovation for sustainable practice in the creative economy. In Data Driven Innovation in the Creative Industries (243-266). London, UK: Routledge. https://doi.org/10.4324/97810033

Can data-driven innovation support the shift towards a more sustainable future? In this chapter, we present case studies from eight European cities to demonstrate how the creative sector is moving towards economic models that expand beyond the notion... Read More about Data-driven innovation for sustainable practice in the creative economy.

Ecosystems and partnerships (2024)
Book Chapter
Panneels, I., Jones, C., Parkinson, C., Komorowski, M., & Orme, A. (2024). Ecosystems and partnerships. In Data-Driven Innovation in the Creative Industries (23-45). London, UK: Routledge. https://doi.org/10.4324/9781003365891-2

What are the ecosystems and partnerships required to enable data-driven innovation to be taken up in the creative industries? This chapter discusses how ecosystems enable different forms of innovation through partnership networks in the creative indu... Read More about Ecosystems and partnerships.