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Welcome to Repository@Nottingham

The Repository@Nottingham is intended to be an Open Access showcase for the published research output of the university. Whenever possible, refereed documents accepted for publication, or finished artistic compositions presented in public, will be made available here in full digital format, and hyperlinks to standard published versions will be provided. See our Policies for further information.



Latest Additions

Into the Here and Now: Explorations within a New Acoustic Virtual Reality (2024)
Journal Article
Cliffe, L. (in press). Into the Here and Now: Explorations within a New Acoustic Virtual Reality. Leonardo,

The author reflects upon listeners’ experiences and the practice of developing a number of audio augmented reality sound installations deployed between 2019 and 2020. The installations realized audio augmented objects: physical real-world objects aug... Read More about Into the Here and Now: Explorations within a New Acoustic Virtual Reality.

Digital twin based photogrammetry field-of-view evaluation and 3D layout optimisation for reconfigurable manufacturing systems (2024)
Journal Article
Wang, Z., Wang, L., Martínez-Arellano, G., Griffin, J., Sanderson, D., & Ratchev, S. (2024). Digital twin based photogrammetry field-of-view evaluation and 3D layout optimisation for reconfigurable manufacturing systems. Journal of Manufacturing Systems, 77, 1045-1061. https://doi.org/10.1016/j.jmsy.2024.11.001

Photogrammetry is extensively used in manufacturing processes due to its non-contact nature and rapid data acquisition. Positioning photogrammetry cameras requires knowledge of the manufacturing process and time in manual field-of-view (FoV) adjustme... Read More about Digital twin based photogrammetry field-of-view evaluation and 3D layout optimisation for reconfigurable manufacturing systems.

Trialling floral‐baited traps to survey flower‐visiting insects in tropical crops: Findings from an oil palm case study (2024)
Journal Article
Popkin, M., Harianja, M. F., Luke, S. H., Setyawan, Y. P., Naim, M., Caliman, J., & Turner, E. C. (2024). Trialling floral‐baited traps to survey flower‐visiting insects in tropical crops: Findings from an oil palm case study. Entomologia Experimentalis et Applicata, https://doi.org/10.1111/eea.13525

Monitoring pollinating arthropods in crop systems can provide important information about pollinator populations and potential yield but can be hampered by accessibility to flowers in some systems, or by the timing of flowering and pollinator visits.... Read More about Trialling floral‐baited traps to survey flower‐visiting insects in tropical crops: Findings from an oil palm case study.

Diagnostic performance of axial T2-weighted MRI sequence for exclusion of brain tumour in paediatric patients with non-localizing symptoms (2024)
Journal Article
Gerrish, A. C., Malik, L., Swain, C., Thomas, A. G., Jaspan, T., & Dineen, R. A. (in press). Diagnostic performance of axial T2-weighted MRI sequence for exclusion of brain tumour in paediatric patients with non-localizing symptoms. British Journal of Radiology,

Objective
To establish diagnostic performance of a single axial T2-weighted sequence for detection of brain tumours in children with non-localizing symptoms, compared to a standard MRI protocol.

Methods
Retrospective analysis of children undergo... Read More about Diagnostic performance of axial T2-weighted MRI sequence for exclusion of brain tumour in paediatric patients with non-localizing symptoms.

Deep generative modelling for nonlinear analysis and in-situ assessment of masonry using multiple mechanical fields (2024)
Journal Article
Adaileh, A., Ghiassi, B., & Briganti, R. (2024). Deep generative modelling for nonlinear analysis and in-situ assessment of masonry using multiple mechanical fields. Construction and Building Materials, 456, Article 138745. https://doi.org/10.1016/j.conbuildmat.2024.138745

Design and in-situ assessment of masonry structures is a challenging task due to the brittle and nonlinear nature of this widely used material, the complex interaction between its components, and the vast variability of material properties in its des... Read More about Deep generative modelling for nonlinear analysis and in-situ assessment of masonry using multiple mechanical fields.