Research Repository

See what's under the surface



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

Human activity recognition with deep metric learners. (2019)
Conference Proceeding
MARTIN, K., WIJEKOON, A. and WIRATUNGA, N. [2019]. Human activity recognition with deep metric learners. In Workshop proceedings of the 27th International conference on case-based reasoning (ICCBR 2019), 8-12 September 2019, Otzenhausen, Germany. CEUR workshop proceedings: CEUR-WS [online], (accepted).

Establishing a strong foundation for similarity-based return is a top priority in Case-Based Reasoning (CBR) systems. Deep Metric Learners (DMLs) are a group of neural network architectures which learn to optimise case representations for similarity-... Read More

Catalytic membrane reactor-separator for environmental applications. (2016)
Thesis
KAJAMA, M.N. 2016. Catalytic membrane reactor-separator for environmental applications. Robert Gordon University [online], PhD thesis. Available from: https://openair.rgu.ac.uk

Flow-through catalytic membrane reactors offer the potential for improved conversions at reduced operating temperature due to product separation and catalyst activity. An experimental work dealing with a forced flow-through membrane reactor is the su... Read More

Probabilistic modelling of oil rig drilling operations for business decision support: a real world application of Bayesian networks and computational intelligence. (2013)
Thesis
FOURNIER, F.A. 2013. Probabilistic modelling of oil rig drilling operations for business decision support: a real world application of Bayesian networks and computational intelligence. Robert Gordon University [online], PhD thesis. Available from: https://openair.rgu.ac.uk

This work investigates the use of evolved Bayesian networks learning algorithms based on computational intelligence meta-heuristic algorithms. These algorithms are applied to a new domain provided by the exclusive data, available to this project from... Read More

Chemical and physical effects of interaction between oilfield chemicals and formation rocks and integration with sand failure prediction models. (2018)
Thesis
WUYEP, E.O. 2018. Chemical and physical effects of interaction between oilfield chemicals and formation rocks and integration with sand failure prediction models. Robert Gordon University [online], PhD thesis. Available from: https://openair.rgu.ac.uk

Sand failure may result in the production of formation sand at the same time the formation fluids are being produced. Sand failure occurs when the formation stress exceeds the strength of the formation, which is derived mainly from the natural materi... Read More

Exploration of how a mobile health (mHealth) intervention may support midwives in the management and referral of women with pre-eclampsia in rural and remote areas of highland Scotland. (2018)
Thesis
WHITE, A. 2018. Exploration of how a mobile health (mHealth) intervention may support midwives in the management and referral of women with pre-eclampsia in rural and remote areas of highland Scotland. Robert Gordon University [online], MRes thesis. Available from: https://openair.rgu.ac.uk

Mobile health (mHealth) interventions have elsewhere been shown to support midwives in the early identification of pregnancy complications in rural and remote locations. The purpose of this thesis was to undertake a qualitative and descriptive invest... Read More