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Welcome to OpenAIR@RGU

OpenAIR@RGU is the open access institutional repository of Robert Gordon University. It contains examples of research outputs produced by staff and research students, as well as related information about the university's funded projects and staff research interests. Further information is available in the repository policy. Any questions about submissions to the repository or problems with access to any of its content should be sent to the Publications Team at publications@rgu.ac.uk



Latest Additions

Towards automated remote inspection of anomalies in offshore components. (2024)
Thesis
TORAL QUIJAS, L.A. 2024. Towards automated remote inspection of anomalies in offshore components. Robert Gordon University, MRes thesis. Hosted on OpenAIR [online]. Available from: https://doi.org/10.48526/rgu-wt-2801306

This dissertation marks a significant advancement in offshore structural inspections, focusing on the development, integration and evaluation of advanced deep-learning models. The research encompasses: a thorough literature review, identifying innova... Read More about Towards automated remote inspection of anomalies in offshore components..

A mixed-methods study of the impact of simulation-based education on the general practice clinical pharmacist in NHS Scotland. (2024)
Thesis
STEEL, L.M. 2024. A mixed-methods study of the impact of simulation-based education on the general practice clinical pharmacist in NHS Scotland. Robert Gordon University, MRes thesis. Hosted on OpenAIR [online]. Available from: https://doi.org/10.48526/rgu-wt-2801295

Clinical decision making in healthcare is the process by which healthcare professionals make personalised prescribing and treatment choices for patient care using a combination of clinical evidence, patient preferences and their own clinical expertis... Read More about A mixed-methods study of the impact of simulation-based education on the general practice clinical pharmacist in NHS Scotland..

Integrating predictive and hybrid machine learning approaches for optimizing solar still performance: a comprehensive review. (2025)
Journal Article
ELSHEIKH, A., FAQEHA, H., HAMMOODI, K.A., BAWAHAB, M., FUJII, M., SHANMUGAN, S., ESSA, F.A., ABD-ELAZIEM, W., RAMESH, B., SATHYAMURTHY, R. and EGIZA, M. 2025. Integrating predictive and hybrid machine learning approaches for optimizing solar still performance: a comprehensive review. Solar energy [online], 295, article number 113536. Available from: https://doi.org/10.1016/j.solener.2025.113536

The increasing global need for freshwater, coupled with the imperative for sustainable and energy-efficient solutions, has fueled interest in solar distillation technologies. Solar stills (SSs) offer a simple, low-cost and environmentally friendly ap... Read More about Integrating predictive and hybrid machine learning approaches for optimizing solar still performance: a comprehensive review..

Enhancing Android application security through source code vulnerability mitigation using artificial intelligence: a privacy-preserved, community-driven, federated-learning-based approach. (2024)
Thesis
SENANAYAKE, J.M.D. 2024. Enhancing Android application security through source code vulnerability mitigation using artificial intelligence: a privacy-preserved, community-driven, federated-learning-based approach. Robert Gordon University, PhD thesis. Hosted on OpenAIR [online]. Available from: https://doi.org/10.48526/rgu-wt-2801183

As technology advances, Android devices and apps are rapidly increasing. It is crucial to adhere to security protocols during app development, especially as many apps lack sufficient safeguards. Despite the use of automated tools for risk mitigation,... Read More about Enhancing Android application security through source code vulnerability mitigation using artificial intelligence: a privacy-preserved, community-driven, federated-learning-based approach..

An investigation into the media's genderisation of Democrat candidates during the selection process for the 2020 presidential nomination. (2024)
Thesis
SAVAGE, J. 2024. An investigation into the media's genderisation of Democrat candidates during the selection process for the 2020 presidential nomination. Robert Gordon University, PhD thesis. Hosted on OpenAIR [online]. Available from: https://doi.org/10.48526/rgu-wt-2801175

This research examines, through critical discourse analysis (Fairclough 2010), the way US media portrayed gender during the TV debates for the Democratic Party nomination for the 2020 US presidential election. Media coverage from debates from Novembe... Read More about An investigation into the media's genderisation of Democrat candidates during the selection process for the 2020 presidential nomination..