Outputs (15015)

Metric-based optimisation of acoustic lenses and waveguides (2022)
Thesis

This dissertation develops an automated procedure for the design of acoustic waveguides that can support single parameter (1P) wave propagation over a large bandwidth. 1P waves include plane, cylindrical and spherical waves, and the waveguides aim to... Read More about Metric-based optimisation of acoustic lenses and waveguides.

The predator problem and PCR primers in molecular dietary analysis: Swamped or silenced; depth or breadth? (2022)
Journal Article

Dietary metabarcoding has vastly improved our ability to analyse the diets of animals, but it is hampered by a plethora of technical limitations including potentially reduced data output due to the disproportionate amplification of the DNA of the foc... Read More about The predator problem and PCR primers in molecular dietary analysis: Swamped or silenced; depth or breadth?.

The spatio‐temporal distribution of pollen traits related to dispersal and desiccation tolerance in Canarian laurel forest (2022)
Journal Article

Questions
Pollen traits (e.g., size, wall thickness, number of apertures) have been suggested to be relevant in terms of pollination mechanisms and the ability of the male gametophyte to withstand desiccation. We examined the spatiotemporal distribu... Read More about The spatio‐temporal distribution of pollen traits related to dispersal and desiccation tolerance in Canarian laurel forest.

Sonic enhancement of virtual exhibits (2022)
Journal Article
Al-Taie, I., Di Franco, P., Tymkiw, M., Williams, D., & Daly, I. (2022). Sonic enhancement of virtual exhibits. PLoS ONE, 17(8), https://doi.org/10.1371/journal.pone.0269370

Museums have widely embraced virtual exhibits. However, relatively little attention is paid to how sound may create a more engaging experience for audiences. To begin addressing this lacuna, we conducted an online experiment to explore how sound infl... Read More about Sonic enhancement of virtual exhibits.

A Performance-Optimized Deep Learning-Based Plant Disease Detection Approach for Horticultural Crops of New Zealand (2022)
Journal Article
Saleem, M. H., Potgieter, J., & Arif, K. M. (2022). A Performance-Optimized Deep Learning-Based Plant Disease Detection Approach for Horticultural Crops of New Zealand. IEEE Access, 10, 89798-89822. https://doi.org/10.1109/access.2022.3201104

Deep learning-based plant disease detection has gained significant attention from the scientific community. However, various aspects of real horticultural conditions have not yet been explored. For example, the disease should be considered not only o... Read More about A Performance-Optimized Deep Learning-Based Plant Disease Detection Approach for Horticultural Crops of New Zealand.

Age‐related changes in microRNAs expression in cruciate ligaments of wild‐stock house mice (2022)
Journal Article

Cruciate ligaments (CL) of the knee joint are injured following trauma or aging. MicroRNAs (miRs) are potential therapeutic targets in musculoskeletal disorders, but there is little known about the role of miRs and their expression ligaments during a... Read More about Age‐related changes in microRNAs expression in cruciate ligaments of wild‐stock house mice.

Fake News Detection Techniques on Social Media: A Survey (2022)
Journal Article
Ali, I., Nizam Bin Ayub, M., Shivakumara, P., & Fazmidar Binti Mohd Noor, N. (2022). Fake News Detection Techniques on Social Media: A Survey. Wireless Communications and Mobile Computing, https://doi.org/10.1155/2022/6072084

Social media platforms like Twitter have become common tools for disseminating and consuming news because of the ease with which users can get access to and consume it. This paper focuses on the identification of false news and the use of cutting... Read More about Fake News Detection Techniques on Social Media: A Survey.

From dyads to collectives: a review of honeybee signalling (2022)
Journal Article
Hasenjager, M. J., Franks, V. R., & Leadbeater, E. (2022). From dyads to collectives: a review of honeybee signalling. Behavioral Ecology and Sociobiology, 76(9), https://doi.org/10.1007/s00265-022-03218-1

The societies of honeybees (Apis spp.) are microcosms of divided labour where the fitness interests of individuals are so closely aligned that, in some contexts, the colony behaves as an entity in itself. Self-organization at this extraordinary level... Read More about From dyads to collectives: a review of honeybee signalling.

Raytracing in Galerkin Boundary Integral form (2022)
Presentation / Conference
Emthyas, A., & Hargreaves, J. (2022, August). Raytracing in Galerkin Boundary Integral form. Presented at Internoise 2022, Glasgow, Scotland

Raytracing is an established method for computing the late-time part of room impulse responses. But it has the drawback that only very crude Monte Carlo models of boundary scattering and diffraction are possible to include without losing its attracti... Read More about Raytracing in Galerkin Boundary Integral form.

Analysis and control of acoustic modes in cylindrical cavities with application to Direct Field Acoustic Noise (DFAN) testing (2022)
Presentation / Conference
Hargreaves, J. (2022, August). Analysis and control of acoustic modes in cylindrical cavities with application to Direct Field Acoustic Noise (DFAN) testing. Presented at Internoise 2022, Glasgow, Scotland

It is well known that acoustic cavities have frequencies at which certain free-response ‘modes’ of propagation respond especially strongly. In the absence of significant damping, these cause peaks of high SPL in the frequency response as well as spat... Read More about Analysis and control of acoustic modes in cylindrical cavities with application to Direct Field Acoustic Noise (DFAN) testing.