All Outputs (8406)

A comprehensive review of multiple physical and data-driven model fusion methods for accurate lithium-ion battery inner state factor estimation. (2024)
Journal Article
TAO, J., WANG, S., CAO, W., FERNANDEZ, C. and BLAABJERG, F. 2024. A comprehensive review of multiple physical and data-driven model fusion methods for accurate lithium-ion battery inner state factor estimation. Batteries [online], 10(12), article 442. Available from: https://doi.org/10.3390/batteries10120442

With the rapid global growth in demand for renewable energy, the traditional energy structure is accelerating its transition to low-carbon, clean energy. Lithium-ion batteries, due to their high energy density, long cycle life, and high efficiency, h... Read More about A comprehensive review of multiple physical and data-driven model fusion methods for accurate lithium-ion battery inner state factor estimation..

Bridging borders in engineering education: an analysis of collaborative online international learning for sustainable development. (2024)
Presentation / Conference Contribution
ABOLLE-OKOYEAGU, C.J., ONOSHAKPOR, C., MAHON, R. and OKPU, A. 2024. Bridging borders in engineering education: an analysis of collaborative online international learning for sustainable development. Presented at the 8th World conference on Future of education, 12-14 December 2024, Cambridge, UK.

Global challenges, such as climate change and scarcity of resources, require engineers who can innovate, think critically, and collaborate across societies. This study investigates the role of Collaborative Online International Learning (COIL) in bri... Read More about Bridging borders in engineering education: an analysis of collaborative online international learning for sustainable development..

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..

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], 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..

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..

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, 01-05 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?.

Comparative analysis of mechanical response in epoxy nanocomposites reinforced with MXene and other carbon-based nano-fillers: an experimental and numerical study. (2024)
Journal Article
SAHARUDIN, M.S., HASBI, S., AHMAD, E.Z., SAGAR, S., DAOUSH, W.M. and INAM, F. 2024. Comparative analysis of mechanical response in epoxy nanocomposites reinforced with MXene and other carbon-based nano-fillers: an experimental and numerical study. Journal of advanced research in micro and nano engineering [online], 26(1), pages 54-65. Available from: https://doi.org/10.37934/armne.26.1.5465

This research introduces a finite element model tailored explicitly to assess the mechanical characteristics inherent in MXene/polymer nano-composite. The primary focus revolves around elucidating the performance attributes through numerical simulati... Read More about Comparative analysis of mechanical response in epoxy nanocomposites reinforced with MXene and other carbon-based nano-fillers: an experimental and numerical study..

A dominance-based surrogate classifier for multi-objective evolutionary algorithms. (2024)
Presentation / Conference Contribution
BANDA, T.M. and ZĂVOIANU, A.-C. 2025. A dominance-based surrogate classifier for multi-objective evolutionary algorithms. In Bramer, M. and Stahl, F. (eds.) Artificial Intelligence XLI: proceedings of the 44th SGAI (Specialist Group on Artificial Intelligence) International conference on artificial intelligence 2024 (AI 2024), 17-19 December 2024, Cambridge, UK. Lecture notes in computer science, 15446. Cham: Springer [online], part I, pages 268-281. Available from: https://doi.org/10.1007/978-3-031-77915-2_19

The application of Multi-Objective Evolutionary Algorithms (MOEAs) is often constrained when addressing computationally expensive Multi-Objective Optimisation Problems (MOOPs). To mitigate this, we propose a dominance-based surrogate classifier that... Read More about A dominance-based surrogate classifier for multi-objective evolutionary algorithms..

Explaining a staff rostering problem using partial solutions. (2024)
Presentation / Conference Contribution
CATALANO, G.A.P.I., BROWNLEE, A.E.I., CAIRNS, D., MCCALL, J.A.W., FYVIE, M. and AINSLIE, R. 2025. Explaining a staff rostering problem using partial solutions. In Bramer, M. and Stahl, F. (eds) Artificial intelligence XLI: proceedings of the 44th SGAI (Specialist Group on Artificial Intelligence) International conference on artificial intelligence 2024 (AI 2024), 17-19 December 2024, Cambridge, UK. Lecture notes in computer science, 15447. Cham: Springer [online], part II, pages 179-193. Available from: https://doi.org/10.1007/978-3-031-77918-3_13

There are many critical optimisation tasks that metaheuristic approaches have been shown to be able to solve effectively. Despite promising results, users might not trust these algorithms due to their intrinsic lack of interpretability. This paper de... Read More about Explaining a staff rostering problem using partial solutions..

Long COVID in healthcare workers: longitudinal mixed-methods study. (2024)
Journal Article
GRANT, A., ADAMS, N.N., MACIVER, E., SKÅTUN, D., SCOTT, N., KENNEDY, C., DOUGLAS, F., HERNANDEZ-SANTIAGO, V. and TORRANCE, N. [2024]. Long COVID in healthcare workers: longitudinal mixed-methods study. Occupational medicine [online], Advance Articles. Available from: https://doi.org/10.1093/occmed/kqae113

Healthcare workers (HCWs) report higher rates of Long COVID (LC) than other occupational groups. It is still unclear whether LC is a lifelong condition. Workforce shortfalls are apparent due to sick leave, reduced hours, and lower productivity. To in... Read More about Long COVID in healthcare workers: longitudinal mixed-methods study..