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Welcome to Edinburgh Napier Research Repository

The ‘Research Repository’ is the open access institutional repository of Edinburgh Napier 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.

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. Any questions about submissions to the repository or problems with access to any of its content should be sent to the Repository Team at repository@napier.ac.uk



Latest Additions

Diversity and inclusion in UK Higher Education: Staff perspectives on institutional representations and their reality (2023)
Journal Article
Richards, K., Pilcher, N., Galbrun, L., Forster, A., & Richards, J. (in press). Diversity and inclusion in UK Higher Education: Staff perspectives on institutional representations and their reality. Research in Post-Compulsory Education,

This paper examines staff perspectives on institutional representations of a range of areas of diversity and inclusion in a key post-compulsory education sector: that of UK Higher Education (HE). The paper focuses on comparing representational statem... Read More about Diversity and inclusion in UK Higher Education: Staff perspectives on institutional representations and their reality.

Role of Festivals for Promoting Scottish Pilgrimage (2023)
Presentation / Conference
Robertson, M. (2023, March). Role of Festivals for Promoting Scottish Pilgrimage. Paper presented at Pilgrimage Today: Routes to Flourishing Communities & Enterprise, Wexford

Unlocking the Potential of Two-Point Cells for Energy-Efficient and Resilient Training of Deep Nets (2023)
Journal Article
Adeel, A., Adetomi, A., Ahmed, K., Hussain, A., Arslan, T., & Phillips, W. A. (in press). Unlocking the Potential of Two-Point Cells for Energy-Efficient and Resilient Training of Deep Nets. IEEE Transactions on Emerging Topics in Computational Intelligence, https://doi.org/10.1109/tetci.2022.3228537

Context-sensitive two-point layer 5 pyramidal cells (L5PCs) were discovered as long ago as 1999. However, the potential of this discovery to provide useful neural computation has yet to be demonstrated. Here we show for the first time how a transform... Read More about Unlocking the Potential of Two-Point Cells for Energy-Efficient and Resilient Training of Deep Nets.

Distribution of Currents in 2 × 25 kV Electric Railway Systems under Normal Conditions (2023)
Journal Article
Sorrentino, E., Gupta, N., Montilla-DJesus, M., & Arriaga, P. (2023). Distribution of Currents in 2 × 25 kV Electric Railway Systems under Normal Conditions. International Transactions on Electrical Energy Systems, 2023, Article 4930801. https://doi.org/10.1155/2023/4930801

This article shows a detailed analysis of the distribution of currents in 2 × 25 kV electric railway systems under normal conditions. The network equations are clearly formulated in a way that enables the presentation of a novel simplified analytical... Read More about Distribution of Currents in 2 × 25 kV Electric Railway Systems under Normal Conditions.