All Outputs (8812)

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..

Advanced modelling and analytics for effective change and anomaly detection in hyperspectral images. (2024)
Thesis
LI, Y. 2024. Advanced modelling and analytics for effective change and anomaly detection in hyperspectral images. Robert Gordon University, PhD thesis. Hosted on OpenAIR [online]. Available from: https://doi.org/10.48526/rgu-wt-2795662

The main objective of this research is to design and implement novel models and analytics techniques for hyperspectral change detection and anomaly detection. With the widespread applications of hyperspectral imagery (HSI) in fields such as remote se... Read More about Advanced modelling and analytics for effective change and anomaly detection in hyperspectral images..

Hybrid analytical hierarchy process model for the optimisation of marginal field development in Nigeria. (2024)
Thesis
DANMADAMI, A.M. 2024. Hybrid analytical hierarchy process model for the optimisation of marginal field development in Nigeria. Robert Gordon University, PhD thesis. Hosted on OpenAIR [online]. Available from: https://doi.org/10.48526/rgu-wt-2795516

The slow pace of marginal field development in Nigeria poses a critical challenge to the nation's energy security and economic stability, given the reliance on oil and gas revenues. This stagnation stems from the lack of a systematic decision-making... Read More about Hybrid analytical hierarchy process model for the optimisation of marginal field development in Nigeria..

An investigation of the development of soft skills required for health supply chain practice in developing economies. (2024)
Thesis
CHINDOVE, S. 2024. An investigation of the development of soft skills required for health supply chain practice in developing economies. Robert Gordon University, DBA thesis. Hosted on OpenAIR [online]. Available from: https://doi.org/10.48526/rgu-wt-2795498

Soft skills, also referred to as non-technical skills, are becoming increasingly important in today's business environment. The focus now is on developing a well-rounded workforce with a blend of soft and technical skills to be better equipped to han... Read More about An investigation of the development of soft skills required for health supply chain practice in developing economies..

Building integrated photovoltaics in Ghana: aesthetics and policy. (2024)
Thesis
AWUKU, S.A. 2024. Building integrated photovoltaics in Ghana: aesthetics and policy. Robert Gordon University, PhD thesis. Hosted on OpenAIR [online]. Available from: https://doi.org/10.48526/rgu-wt-2795478

Buildings are known to account for over 40% of CO2 emissions globally, a number which is likely to increase if no feasible interventions are adopted. One sure way is the adoption of advanced solar applications such as building integrated photovoltaic... Read More about Building integrated photovoltaics in Ghana: aesthetics and policy..

A systematic literature review on the UK's enterprise investment scheme and seed enterprise investment scheme and comparison with similar schemes in selected countries. (2024)
Journal Article
OKEKE, O. and ASEKOMEH, A. 2024. A systematic literature review on the UK's enterprise investment scheme and seed enterprise investment scheme and comparison with similar schemes in selected countries. International journal of business and economic development [online], 12(2), pages 56-74. Available from: https://doi.org/10.24052/IJBED/V012N02/ART-05

This systematic literature review investigates the literature and theoretical underpinnings of government support schemes for micro, small and medium scale enterprise (MSME) financing with a focus on the UK's Enterprise Investment Scheme (EIS) and Se... Read More about A systematic literature review on the UK's enterprise investment scheme and seed enterprise investment scheme and comparison with similar schemes in selected countries..

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..

We go hunting...: understanding experiences of people living with obesity and food insecurity when shopping for food in the supermarket to meet their weight-related goals. (2024)
Journal Article
HUNTER, E., STONE, R.A., BROWN, A., HARDMAN, C.A., JOHNSTONE, A.M., GREATWOOD, H.C., DINEVA, M. and DOUGLAS, F. 2025. We go hunting...: understanding experiences of people living with obesity and food insecurity when shopping for food in the supermarket to meet their weight-related goals. Appetite [online], 205, article number 107794. Available from: https://doi.org/10.1016/j.appet.2024.107794

The high prevalence of food insecurity in the United Kingdom has been exacerbated by the cost-of-living crisis. In high-income countries, those experiencing food insecurity struggle to buy and consume foods that meet Government healthy eating recomme... Read More about We go hunting...: understanding experiences of people living with obesity and food insecurity when shopping for food in the supermarket to meet their weight-related goals..

From sands to solutions: the role of sand management in carbon capture and storage projects to enable the energy transition. (2024)
Presentation / Conference Contribution
MAHON, R. and OLUYEMI, G. 2024. From sands to solutions: the role of sand management in carbon capture and storage projects to enable the energy transition. Presented at the 10th Sand Management Network Euroforum 2024, 27-28 November 2024, Aberdeen, UK.

Carbon capture and storage (CCS) can play a pivotal role in decarbonising various hard-to-abate sectors and support an enabling environment to achieve the global energy transition to a more sustainable and low-carbon future. CO2 injection into geolog... Read More about From sands to solutions: the role of sand management in carbon capture and storage projects to enable the energy transition..

Emotional intelligence workshop. (2024)
Presentation / Conference Contribution
TABIB, M. and STEVENSON, G. 2024. Emotional intelligence workshop. Presented at the 2024 Scotland maternity and midwifery festival, 26 November 2024, Edinburgh, UK. Hosted on Vimeo [online]. Available from: https://vimeo.com/1033510204

Emotional intelligence refers to the ability to recognise and manage your emotions, and to recognise emotions in others with a view to building relationships. In this presentation, the authors provide an overview of how they have developed various em... Read More about Emotional intelligence workshop..

Performance enhancement of a modified solar still with inverted pyramid aluminum basin geometry: experimental optimization, thermal and economic assessment. (2024)
Journal Article
DIAB, M.R., ROZZA, M., ALHOSARY, M., NASSAR, S., FAISAL, N., ELSHEIKH, A.H. and EGIZA, M. 2025. Performance enhancement of a modified solar still with inverted pyramid aluminum basin geometry: experimental optimization, thermal and economic assessment. Process safety and environmental protection [online], 193, pages 1173-1187. Available from: https://doi.org/10.1016/j.psep.2024.11.104

Desalination is a promising solution to address the global challenges of water scarcity and energy demand, aided by industrialization and population growth. This study explores the potential to enhance solar still performance by redesigning the basin... Read More about Performance enhancement of a modified solar still with inverted pyramid aluminum basin geometry: experimental optimization, thermal and economic assessment..

Event classification on subsea pipeline inspection data using an ensemble of deep learning classifiers. (2024)
Journal Article
DANG, T., NGUYEN, T.T., LIEW, A.W.-C. and ELYAN, E. 2025. Event classification on subsea pipeline inspection data using an ensemble of deep learning classifiers. Cognitive computation [online], 17(1), article 10. Available from: https://doi.org/10.1007/s12559-024-10377-y

Subsea pipelines are the backbone of the modern oil and gas industry, transporting a total of 28% of global oil production. Due to several factors, such as corrosion or deformations, the pipelines might degrade over time, which might lead to serious... Read More about Event classification on subsea pipeline inspection data using an ensemble of deep learning classifiers..

Development of a straightforward direct injection UHPLC-MS/MS method for quantification of plastic additive chemicals in roadside retention ponds. (2024)
Journal Article
MCKENZIE, K., PLLU, A., CAMPBELL, I., LAWTON, L.A. and PETRIE, B. 2025. Development of a straightforward direct injection UHPLC-MS/MS method for quantification of plastic additive chemicals in roadside retention ponds. Analytical and bioanalytical chemistry [online], 417(3), pages 389-403. Available from: https://doi.org/10.1007/s00216-024-05657-3

There is growing interest in road pollution that enters surface waters. Additive chemicals used in the manufacture of plastics, including tyre rubber, are mobile pollutants that pose a threat to aquatic life. Therefore, an ultra-high performance liqu... Read More about Development of a straightforward direct injection UHPLC-MS/MS method for quantification of plastic additive chemicals in roadside retention ponds..