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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

Surface area‐enhanced cerium and sulfur‐modified hierarchical bismuth oxide nanosheets for electrochemical carbon dioxide reduction to formate. (2024)
Journal Article
PALANTIMUTHU, N., SUBRAMANIAM, M.R., P, M.A., SHARMA, P.K., RAMALINGAM, V., PERAMAIAH, K., RAMAKRISHNAN, S., GU, G.H., YU, E.H. and YOO, D.J. 2024. Surface area-enhanced cerium and sulfur-modified hierarchical bismuth oxide nanosheets for electrochemical carbon dioxide reduction to formate. Small [online], Early View. Available from: https://doi.org/10.1002/smll.202400913

Electrochemical carbon dioxide reduction reaction (ECO2RR) is a promising approach to synthesize fuels and value-added chemical feedstocks while reducing atmospheric CO2 levels. Here, high surface area cerium and sulfur-doped hierarchical bismuth oxi... Read More about Surface area‐enhanced cerium and sulfur‐modified hierarchical bismuth oxide nanosheets for electrochemical carbon dioxide reduction to formate..

A robust self-supervised approach for fine-grained crack detection in concrete structures. (2024)
Journal Article
SOHAIB, M., HASAN, M.J., SHAH, M.A. and ZHENG, Z. 2024. A robust self-supervised approach for fine-grained crack detection in concrete structures. Scientific reports [online], 14(1), article number 12646. Available from: https://doi.org/10.1038/s41598-024-63575-x

This work addresses a critical issue: the deterioration of concrete structures due to fine-grained cracks, which compromises their strength and longevity. To tackle this problem, experts have turned to computer vision (CV) based automated strategies,... Read More about A robust self-supervised approach for fine-grained crack detection in concrete structures..

MIRRORS: a prospective cohort study assessing the feasibility of robotic interval debulking surgery for advanced-stage ovarian cancer. (2024)
Journal Article
UWINS, C., ASSALAARACHCHI, H., BENNETT, K., READ, J., TAILOR, A., CRAWSHAW, J., CHATTERJEE, J., ELLIS, P., SKENE, S.S., MICHAEL, A. and BUTLER-MANUEL, S. 2024. MIRRORS: a prospective cohort study assessing the feasibility of robotic interval debulking surgery for advanced-stage ovarian cancer. International journal of gynecological cancer [online], 34(6), pages 886-897. Available from: https://doi.org/10.1136/ijgc-2024-005265

The object of this research was to establish the feasibility and safety of robotic interval debulking surgery following the MIRRORS protocol (robot-assisted laparoscopic assessment prior to robotic or open surgery) in women with advanced-stage ovaria... Read More about MIRRORS: a prospective cohort study assessing the feasibility of robotic interval debulking surgery for advanced-stage ovarian cancer..

Decoding memes: a comprehensive analysis of late and early fusion models for explainable meme analysis. (2024)
Conference Proceeding
ABDULLAKUTTY, F. and NASEEM, U. 2024. Decoding memes: a comprehensive analysis of late and early fusion models for explainable meme analysis. In: Chua, T.-S., Ngo, C.-W., Kumar, R., Lauw, H.W. and Lee, R.K.-W. (eds.). WWW'24 companion: companion proceedings of the ACM web conference 2024, 13-17 May 2024, Singapore. New York: ACM [online], pages 1681-1689. Available from: https://doi.org/10.1145/3589335.3652504

Memes are important because they serve as conduits for expressing emotions, opinions, and social commentary online, providing valuable insight into public sentiment, trends, and social interactions. By combining textual and visual elements, multi-mod... Read More about Decoding memes: a comprehensive analysis of late and early fusion models for explainable meme analysis..

Machine learning algorithm, scaling technique and the accuracy: an application to educational data. (2024)
Conference Proceeding
WICKRAMASINGHE, I. and KALUTARAGE, H. 2024. Machine learning algorithm, scaling technique and the accuracy: an application to educational data. In: Proceedings of the 12th International conference on information and education technology 2024 (ICIET 2024) 18-20 March 2024, Yamaguchi, Japan. Piscataway: IEEE [online], pages 6-12. Available from: https://doi.org/10.1109/iciet60671.2024.10542714

Machine learning (ML) applications in educational data mining have become an increasingly popular research area. Literature indicates a lack of research investigating the impact of data scaling techniques, ML algorithms, and the nature of data on the... Read More about Machine learning algorithm, scaling technique and the accuracy: an application to educational data..