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Welcome to USIR

Welcome to the University of Salford repository (USIR), an Open Access showcase for the published research output of the university. Our collection contains a wide range of research across multiple formats and subject areas.

Whenever possible, outputs will be made openly available here in full digital format for download, with many under a Creative Commons license. See our Policies for further information https://salford-repository.worktribe.com/policies.

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Latest Additions

Simulation-Based Design of a Cam-Driven Hydraulic Prosthetic Ankle (2025)
Journal Article
Pace, A., Gardiner, J., & Howard, D. (2025). Simulation-Based Design of a Cam-Driven Hydraulic Prosthetic Ankle. Prosthesis, 7(1), https://doi.org/10.3390/prosthesis7010014

Objectives: A cam-driven hydraulic prosthetic ankle was designed to overcome the weaknesses of commercial prostheses and research prototypes, which largely fail to mimic the energy-recycling behaviour of an intact ankle, resulting in poor walking per... Read More about Simulation-Based Design of a Cam-Driven Hydraulic Prosthetic Ankle.

A Novel Topic Modelling Framework for Automated Surveying of Computer Vision Research in Prostate Cancer Detection (2025)
Journal Article
Mansouri, T., Kiani, K., Palaiahnakote, S., & Fadaeidehcheshmeh, R. (in press). A Novel Topic Modelling Framework for Automated Surveying of Computer Vision Research in Prostate Cancer Detection. International Journal of Pattern Recognition and Artificial Intelligence,

Retrieving the relevant information or material makes a big difference in the medical field because it is necessary to acquire updates on recent findings and inferences so that the practitioners can understand the state-of-the-art topics. Thus, extra... Read More about A Novel Topic Modelling Framework for Automated Surveying of Computer Vision Research in Prostate Cancer Detection.

Speech-To-Screen: Listening Experiment Data and Statistical Analyses spreadsheets (2022)
Dataset
Demonte, P. (2022). Speech-To-Screen: Listening Experiment Data and Statistical Analyses spreadsheets. [Dataset]. https://doi.org/10.17866/rd.salford.19692724.v1

An Excel spreadsheet related to the Speech-To-Screen listening experiment conducted in the Listening Room at the University of Salford in 2017 as part of the EPSRC-funded S3A Future Spatial Audio at Home project. The aim of the experiment was to test... Read More about Speech-To-Screen: Listening Experiment Data and Statistical Analyses spreadsheets.

Speech-To-Screen collated correct word percentages (2022)
Dataset
Demonte, P., Tang, Y., Hughes, R. J., Cox, T. J., Fazenda, B. M., & Shirley, B. G. (2022). Speech-To-Screen collated correct word percentages. [Dataset]. https://doi.org/10.17866/rd.salford.6724727.v1

.txt file containing results from the 'Speech-To-Screen listening experiment collated as correct word percentages.

20 x participants (s1-s20)
16 x combination of conditions tested per participant:
- 2 x masking noise types: SSN and SMN
- 2 x vi... Read More about Speech-To-Screen collated correct word percentages.

Read Me info for Speech-To-Screen raw data zip file (2022)
Dataset
Demonte, P., Tang, Y., Hughes, R. J., Cox, T. J., Fazenda, B. M., & Shirley, B. G. (2022). Read Me info for Speech-To-Screen raw data zip file. [Dataset]. https://doi.org/10.17866/rd.salford.6724715.v1

.txt file with information relating to the S2S Raw Data zip file.


Note that:

INT: Speech internalised; Noise internalised.

SN: Speech internalised; Noise externalised (at screen).

NS: Speech externalised (at screen); Noise internalised.... Read More about Read Me info for Speech-To-Screen raw data zip file.