All Outputs (698)

Bridging the gender gap in engineering: strategies for retention and advancement of women in STEM fields. (2024)
Presentation / Conference Contribution
ABOLLE-OKOYEAGU, C.J., MAHON, R., OKPU, A. and CHIMA-AMAESHI, N. 2024. Bridging the gender gap in engineering: strategies for retention and advancement of women in STEM fields. Presented at the 8th World conference on Future of education, 12-14 December 2024, Cambridge, UK.

The underrepresentation of women in engineering remains a significant challenge despite years of efforts to address gender disparities in STEM fields. This paper examines both the retention and advancement of women in engineering, exploring key strat... Read More about Bridging the gender gap in engineering: strategies for retention and advancement of women in STEM fields..

Dismantling barriers faced by women pursuing engineering in higher education to facilitate widening access: a UK perspective. (2024)
Presentation / Conference Contribution
MAHON, R. and ABOLLE-OKOYEAGU, C.J. 2024. Dismantling barriers faced by women pursuing engineering in higher education to facilitate widening access: a UK perspective. Presented at the 8th World conference on Future of education, 12-14 December 2024, Cambridge, UK.

Despite numerous initiatives to increase the representation of women in engineering, it remains a global challenge and priority agenda within the UK engineering industry, professional bodies, and academic institutions. This paper explores the complex... Read More about Dismantling barriers faced by women pursuing engineering in higher education to facilitate widening access: a UK perspective..

Supporting the pipeline of skilled engineering graduates to the green energy market: the role of engineering education in embedding sustainability and global citizenship. (2024)
Presentation / Conference Contribution
MAHON, R., ABOLLE-OKOYEAGU, C.J. and IYALLA, I. 2024. Supporting the pipeline of skilled engineering graduates to the green energy market: the role of engineering education in embedding sustainability and global citizenship. Presented at the 8th World conference on Future of education, 12-14 December 2024, Cambridge, UK.

Successfully delivering on the UK's Net Zero challenge requires a highly skilled workforce. This is in direct response to the UK Government's British Energy Security Strategy (2022) which targets 50 GW of offshore wind, 10 GW of hydrogen and up to 30... Read More about Supporting the pipeline of skilled engineering graduates to the green energy market: the role of engineering education in embedding sustainability and global citizenship..

Barriers and facilitators to implementing polypharmacy management frameworks: a theory based qualitative exploration of key stakeholders. (2024)
Journal Article
AL BULUSHI, S., MCINTOSH, T., TALKHAN, H., GRANT, A., STEWART, D., AL FAMY, M. and CUNNINGHAM, S. [2025]. Barriers and facilitators to implementing polypharmacy management frameworks: a theory based qualitative exploration of key stakeholders. International journal of clinical pharmacy [online], Latest Articles. Available from: https://doi.org/10.1007/s11096-024-01844-5

Inappropriate polypharmacy arises through many factors including deficiencies in prescribing processes. Most research has focused on solutions at the clinician/patient levels with less at the organisational level. To explore key stakeholder identifie... Read More about Barriers and facilitators to implementing polypharmacy management frameworks: a theory based qualitative exploration of key stakeholders..

Alienation and/or anomie in pharmacists: a protocol for a narrative systematic review. (2024)
Journal Article
FORSYTH, P., MAGUIRE, B., O'BRIEN, R., CAREY, J., RUSHWORTH, G.F., CUNNINGHAM, S. and RADLEY, A. 2025. Alienation and/or anomie in pharmacists: a protocol for a narrative systematic review. BMJ open [online], 14(12), article number e088058. Available from: https://doi.org/10.1136/bmjopen-2024-088058

Episodes of alienation and/or anomie in pharmacists have been reported in historical accounts since the 19th century. Alienation and anomie are distinct types of psychological or social ills where people are problematically separated from, or their s... Read More about Alienation and/or anomie in pharmacists: a protocol for a narrative systematic review..

From early explorers to restricted practitioners: a qualitative analysis of coaches' development, context, and practices within U.K. mixed martial arts. (2024)
Journal Article
KIRK, C., CRONIN, C., LANGAN-EVANS, C., CLARK, D.R. and MORTON, J.P. [2025]. From early explorers to restricted practitioners: a qualitative analysis of coaches' development, context, and practices within U.K. mixed martial arts. International sport coaching journal [online], Ahead-of-Print. Available from: https://doi.org/10.1123/iscj.2024-0048

Despite its growing popularity and participation rates, mixed martial arts (MMA) coaching has not been the subject of much critical scholarly analysis. Accordingly, knowledge of this activity is limited, and inadequate, as a means of understanding th... Read More about From early explorers to restricted practitioners: a qualitative analysis of coaches' development, context, and practices within U.K. mixed martial arts..

Effective utilization of unidirectional laminates for mass reduction in composite blades of multi-MW wind turbines. (2024)
Journal Article
ATTAR, S. and HAYAT, K. [2024]. Effective utilization of unidirectional laminates for mass reduction in composite blades of multi-MW wind turbines. Advanced composite materials [online], Latest Articles. Available from: https://doi.org/10.1080/09243046.2024.2438470

In this study, a reduction of 7.8–10.37% in the blade mass was achieved by optimizing the thickness of unidirectional spars in the Sandia 100-m all-glass baseline blade for a 13.2 MW wind turbine. The optimized design still complies with stiffness, s... Read More about Effective utilization of unidirectional laminates for mass reduction in composite blades of multi-MW wind turbines..

Composites techniques optimization and finite element analysis of kenaf fiber reinforced epoxy nonwoven composite structures for renewable energy infrastructure. (2024)
Journal Article
OWEN, M.M., WONG, L.S., ACHUKWU, E.O., ROMLI, A.Z., NAZERI, M.N. and SHUIB, S. 2024. Composites techniques optimization and finite element analysis of kenaf fiber reinforced epoxy nonwoven composite structures for renewable energy infrastructure. Journal of industrial textiles [online], 54, pages 1-32. Available from: https://doi.org/10.1177/15280837241283963

In exploring the viability of kenaf fiber-reinforced epoxy nonwoven composites (KFRECs) for renewable energy infrastructure, the optimization of their manufacturing techniques for maximum performance remains a significant research gap. This study add... Read More about Composites techniques optimization and finite element analysis of kenaf fiber reinforced epoxy nonwoven composite structures for renewable energy infrastructure..

Blind sonar image quality assessment via machine learning: leveraging micro- and macro-scale texture and contour features in the wavelet domain. (2024)
Journal Article
TOLIE, H.F., REN, J., CHEN, R., ZHAO, H. and ELYAN, E. 2025. Blind sonar image quality assessment via machine learning: leveraging micro- and macro-scale texture and contour features in the wavelet domain. Engineering applications of artificial intelligence [online], 141, article number 109730. Available from: https://doi.org/10.1016/j.engappai.2024.109730

In subsea environments, sound navigation and ranging (SONAR) images are widely used for exploring and monitoring infrastructures due to their robustness and insensitivity to low-light conditions. However, their quality can degrade during acquisition... Read More about Blind sonar image quality assessment via machine learning: leveraging micro- and macro-scale texture and contour features in the wavelet domain..

Benchmarking a novel particle swarm optimization dynamic model versus HOMER in optimally sizing grid-integrated hybrid PV–hydrogen energy systems. (2024)
Journal Article
ATTEYA, A.I. and ALI, D. 2024. Benchmarking a novel particle swarm optimization dynamic model versus HOMER in optimally sizing grid-integrated hybrid PV–hydrogen energy systems. Eng [online], 5(4), pages 3239-3258. Available from: https://doi.org/10.3390/eng5040170

This paper presents the development of an Artificial Intelligence (AI)-based integrated dynamic hybrid PV-H2 energy system model together with a reflective comparative analysis of its performance versus that of the commercially available HOMER softwa... Read More about Benchmarking a novel particle swarm optimization dynamic model versus HOMER in optimally sizing grid-integrated hybrid PV–hydrogen energy systems..

Review of detection, prediction and treatment of fluid loss events. (2024)
Journal Article
AMISH, M. and KHODJA, M. 2025. Review of detection, prediction and treatment of fluid loss events. Arabian journal of geosciences [online], 18(1), article number 8. Available from: https://doi.org/10.1007/s12517-024-12142-9

Lost circulation has the potential to cause formation damage, wellbore instability and a blowout. Many methods have been introduced, but there is no industry-wide solution available to predict lost circulation due to some constraints in the field. It... Read More about Review of detection, prediction and treatment of fluid loss events..

The demise of mutual trust: UK-EU extradition post-Brexit: execution of European arrest warrants against MA (Alchaster Case) (C-202/24). (2024)
Journal Article
ARNELL, P. 2024 The demise of mutual trust: UK-EU extradition post-Brexit: execution of European arrest warrants against MA (Alchaster Case) (C-202/24). Scots law times [online], 2024(39), pages 277-279. Available from: https://uk.westlaw.com

This case comment considers extraditions from the UK to the EU post-Brexit, focusing on Execution of European Arrest Warrants against MA (C-202/24) (ECJ), a request for a preliminary ruling on the conditions under which arrest warrants issued by the... Read More about The demise of mutual trust: UK-EU extradition post-Brexit: execution of European arrest warrants against MA (Alchaster Case) (C-202/24)..

Graph-variational convolutional autoencoder-based fault detection and diagnosis for photovoltaic arrays. (2024)
Journal Article
ARIFEEN, M., PETROVSKI, A., HASAN, M.J., NOMAN, K., NAVID, W.U. and HARUNA, A. 2024. Graph-variational convolutional autoencoder-based fault detection and diagnosis for photovoltaic arrays. Machines [online], 12(12), article 894. Available from: https://doi.org/10.3390/machines12120894

Solar energy is a critical renewable energy source, with solar arrays or photovoltaic systems widely used to convert solar energy into electrical energy. However, solar array systems can develop faults and may exhibit poor performance. Diagnosing and... Read More about Graph-variational convolutional autoencoder-based fault detection and diagnosis for photovoltaic arrays..

Polyetherureas as aqueous binders for Li ion batteries. [Preprint] (2024)
Preprint / Working Paper
TAN, M., SAINI, G., STANZIONE, M., PANCHOLI, K., SAMPATHKUMAR, H., WALKER, M., PATTERSON, C., VASSALLI, M., NADEN, A., MAGDYSYUK, O., ARMSTRONG, R. and KUMAR, A. 2024. Polyetherureas as aqueous binders for Li ion batteries. [Preprint]. Hosted on ChemRxiv. Available from: https://doi.org/10.26434/chemrxiv-2024-mk39b

We report here the application of polyetherureas as a new class of aqueous binder for the LiFePO4 positive electrode material in lithium-ion batteries. Polyetherureas have been synthesized using a greener route (avoiding conventionally used toxic dii... Read More about Polyetherureas as aqueous binders for Li ion batteries. [Preprint].

Ethical implications of Gen-AI and LLMs in computing education. (2024)
Presentation / Conference Contribution
ZARB, M., BROWN, J.N.A., GOODFELLOW, M., LIASKOS, K. and YOUNG, T. 2024. Ethical implications of Gen-AI and LLMs in computing education. In Proceedings of the 1st Association for Computing Machinery virtual global computing education conference (SIGCSE Virtual 2024), 5-8 December 2024, [virtual event]. New York: ACM [online], volume 2, pages 293-294. Available from: https://doi.org/10.1145/3649409.3691074

The panel convenes five educators to discuss the ethical implications of utilising Generative AI (Gen-AI) and Large Language Models (LLMs) in computing education. Their expertise spans various domains, including organising national workshops on the i... Read More about Ethical implications of Gen-AI and LLMs in computing education..

Finite element analysis of stress distribution in alkali-peroxide treated epoxy composites with various woven cotton structures. (2024)
Journal Article
OWEN, M.M., WONG, L.S., ACHUKWU, E.O., SHUIB, S. and AKIL, H.M. 2024. Finite element analysis of stress distribution in alkali-peroxide treated epoxy composites with various woven cotton structures. Journal of natural fibers [online], 21(1), article number 2434657. Available from: https://doi.org/10.1080/15440478.2024.2434657

The poor surface properties of woven epoxy-cotton composite structures have limited their use in industrial applications. Existing solutions using single treatment processes have been developed to address the challenges but have recorded appreciable... Read More about Finite element analysis of stress distribution in alkali-peroxide treated epoxy composites with various woven cotton structures..

Parafusion-extended: large scale paraphrase dataset integrating lexico-phrasal knowledge. (2024)
Presentation / Conference Contribution
JAYAWARDENA, L. and YAPA, P. 2024. Parafusion-extended: large scale paraphrase dataset integrating lexico-phrasal knowledge. In Zhou, K. (ed.) Computational and experimental simulations in engineering: proceedings of the 30th International conference on computational and experimental engineering and sciences 2024 (ICCES 2024), 3-6 August 2024, Singapore. Mechanisms and machine science, 173. Cham: Springer [online], volume 2, pages 258-281. Available from: https://doi.org/10.1007/978-3-031-77489-8_20

Paraphrasing, the art of rephrasing text while retaining its original meaning, lies at the core of natural language understanding and generation. With the rise of demand for more domain-specialized models, high-quality data is more valued than ever;... Read More about Parafusion-extended: large scale paraphrase dataset integrating lexico-phrasal knowledge..

A novel ensemble aggregation method based on deep learning representation. (2024)
Presentation / Conference Contribution
NGUYEN, T.T., ELYAN, E., DANG, T., NGUYEN, T.T. and LONGMUIR, M. 2025. A novel ensemble aggregation method based on deep learning representation. In Antonacopoulos, A., Chaudhuri, S., Chellappa, R., et al. (eds.) Pattern recognition: proceedings of the 27th International conference on pattern recognition, 1-5 December 2024, Kolkata, India. Lecture notes in computer science, 15324. Cham: Springer [online], pages 31-46. Available from: https://doi.org/10.1007/978-3-031-78383-8_3

We propose a novel ensemble aggregation method by using a deep learning-based representation approach. Specifically, we applied the Cross-Validation procedure on training data with a number of learning algorithms to obtain the predictions for trainin... Read More about A novel ensemble aggregation method based on deep learning representation..

Living in post-Brexit Britain during the pandemic: how did it feel for EU citizens? (2024)
Journal Article
RUGGERONE, L. and HACKETT, C. 2024. Living in post-Brexit Britain during the pandemic: how did it feel for EU citizens? Visual studies [online], Ahead of Print. Available from: https://doi.org/10.1080/1472586X.2024.2428157

In the visual essay, we present the images produced by participants during a study on the effects of the Coronavirus pandemic and Brexit on the emotions and feelings of middle-aged European citizens. The study was conducted using an art-based method... Read More about Living in post-Brexit Britain during the pandemic: how did it feel for EU citizens?.

Improving federated learning performance with similarity guided feature extraction and pruning. (2024)
Thesis
PALIHAWADANA, C. 2024. Improving federated learning performance with similarity guided feature extraction and pruning. Robert Gordon University, PhD thesis. Hosted on OpenAIR [online]. Available from: https://doi.org/10.48526/rgu-wt-2801100

Federated Learning (FL) is a Machine Learning (ML) paradigm that learns from distributed clients to collaboratively train a global model in a privacy-preserved manner without sharing their private data. Traditional centralised ML approaches require a... Read More about Improving federated learning performance with similarity guided feature extraction and pruning..