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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

A pharmacist clinician model as part of a collaborative clinical workforce: a philosophical critique. (2024)
Journal Article
RUSHWORTH, G.F., FORSYTH, P., RADLEY, A., DUGGAN, C., SAMPSON, R., CUNNINGHAM, S. and MAGUIRE, B. [2024]. A pharmacist clinician model as part of a collaborative clinical workforce: a philosophical critique. Research in social and administrative pharmacy [online], Articles in Press. Available from: https://doi.org/10.1016/j.sapharm.2024.06.006

The term "clinician" is not reserved for any healthcare professional group. However, there is a general acceptance that a clinician would have the knowledge, skills and behaviours to enable them to clinically assess and manage a patient autonomously.... Read More about A pharmacist clinician model as part of a collaborative clinical workforce: a philosophical critique..

Assessing the impact: a 2024 perspective on Scotland's Hate Crime and Public Order Act of 2021. (2024)
Journal Article
MAK, C.H.W. 2024. Assessing the impact: a 2024 perspective on Scotland's Hate Crime and Public Order Act of 2021. Scots law times [online], 2024(19), pages 83-85. Available from: https://uk.westlaw.com

The author reviews the background of the the Hate Crime and Public Order (Scotland) Act 2021 and it's impact and complexity of implementation. The primary objective of the law was to offer enhanced protection for victims and communities by consolidat... Read More about Assessing the impact: a 2024 perspective on Scotland's Hate Crime and Public Order Act of 2021..

HRMOT: two-step association based multi-object tracking in satellite videos enhanced by high-resolution feature fusion. (2024)
Conference Proceeding
WU, Y., ZHANG, X., LIU, Q., XUE, D., SUN, H. and REN, J. 2024. HRMOT: two-step association based multi-object tracking in satellite videos enhanced by high-resolution feature fusion. In: Ren, J., Hussain, A., Liao, I.Y. et al. (eds.) Advances in brain inspired cognitive systems: proceedings of the 13th Brain-inspired cognitive systems 2023 (BICS 2023), 5-6 August 2023, Kuala Lumpur, Malaysia. Lecture notes in computer sciences, 14374. Cham: Springer [online], pages 251-263. Available from: https://doi.org/10.1007/978-981-97-1417-9_24

Multi-object tracking in satellite videos (SV-MOT) is one of the most challenging tasks in remote sensing, its difficulty mainly comes from the low spatial resolution, small target and extremely complex background. The widely studied multi-object tra... Read More about HRMOT: two-step association based multi-object tracking in satellite videos enhanced by high-resolution feature fusion..

Underwater object detection for smooth and autonomous operations of naval missions: a pilot Dataset. (2024)
Conference Proceeding
YAN, Y., LI, Y., LIN, H., SARKER, M.M.K., REN, J. and MCCALL, J. 2024. Underwater object detection for smooth and autonomous operations of naval missions: a pilot dataset. In: Ren, J., Hussain, A., Liao, I.Y. et al. (eds.) Advances in brain inspired cognitive systems: proceedings of the 13th Brain-inspired cognitive systems 2023 (BICS 2023), 5-6 August 2023, Kuala Lumpur, Malaysia. Lecture notes in computer sciences, 14374. Cham: Springer [online], pages 113-122. Available from: https://doi.org/10.1007/978-981-97-1417-9_11

Underwater object detection is essential for ensuring autonomous naval operations. However, this task is challenging due to the complexities of underwater environments that often degrade image quality, thereby hampering the performance of detection a... Read More about Underwater object detection for smooth and autonomous operations of naval missions: a pilot Dataset..

MLM-LSTM: multi-layer memory learning framework based on LSTM for hyperspectral change detection. (2024)
Conference Proceeding
LI, Y., YAN, Y. and REN, C., LIU, Q. and SUN, H. 2024. MLM-LSTM: multi-layer memory learning framework based on LSTM for hyperspectral change detection. In: Ren, J., Hussain, A., Liao, I.Y. et al. (eds.) Advances in brain inspired cognitive systems: proceedings of the 13th Brain-inspired cognitive systems 2023 (BICS 2023), 5-6 August 2023, Kuala Lumpur, Malaysia. Lecture notes in computer sciences, 14374. Cham: Springer [online], pages 51-61. Available from: https://doi.org/10.1007/978-981-97-1417-9_5.

Hyperspectral change detection plays a critical role in remote sensing by leveraging spectral and spatial information for accurate land cover variation identification. Long short-term memory (LSTM) has demonstrated its effectiveness in capturing depe... Read More about MLM-LSTM: multi-layer memory learning framework based on LSTM for hyperspectral change detection..