Outputs (609)

DenMerD: a feature enhanced approach to radar beam blockage correction with edge-cloud computing (2024)
Journal Article
Liu, Q., Sun, J., Zhang, Y., & Liu, X. (2024). DenMerD: a feature enhanced approach to radar beam blockage correction with edge-cloud computing. Journal of cloud computing: advances, systems and applications, 13, Article 32. https://doi.org/10.1186/s13677-024-00607-x

In the field of meteorology, the global radar network is indispensable for detecting weather phenomena and offering early warning services. Nevertheless, radar data frequently exhibit anomalies, including gaps and clutter, arising from atmospheric re... Read More about DenMerD: a feature enhanced approach to radar beam blockage correction with edge-cloud computing.

Utilization of a Genetic Algorithm to Identify Optimal Geometric Shapes for a Seismic Protective Barrier (2024)
Journal Article
Bratov, V., Murachev, A., & Kuznetsov, S. V. (2024). Utilization of a Genetic Algorithm to Identify Optimal Geometric Shapes for a Seismic Protective Barrier. Mathematics, 12(3), Article 492. https://doi.org/10.3390/math12030492

The utilization of seismic barriers for protection against the hazardous impact of natural or technogenic waves is an extremely promising emerging technology to secure buildings, structures and entire areas against earthquake-generated seismic waves,... Read More about Utilization of a Genetic Algorithm to Identify Optimal Geometric Shapes for a Seismic Protective Barrier.

Exponential input-to-state stability for Lur’e systems via Integral Quadratic Constraints and Zames-Falb Multipliers (2024)
Journal Article
Drummond, R., Guiver, C., & Turner, M. (2024). Exponential input-to-state stability for Lur’e systems via Integral Quadratic Constraints and Zames-Falb Multipliers. IMA Journal of Mathematical Control and Information, 41(1), 1-17. https://doi.org/10.1093/imamci/dnae003

Absolute stability criteria which are sufficient for global exponential stability are shown, under a Lipschitz assumption, to be sufficient for the a priori stronger exponential input-to-state stability property. Important corollaries of this result... Read More about Exponential input-to-state stability for Lur’e systems via Integral Quadratic Constraints and Zames-Falb Multipliers.

Proposing an Approach for the Diffusion of Building Integrated Photovoltaics (BIPVs)—A Case Study (2024)
Journal Article
Amo Awuku, S., Bennadji, A., Muhammad-Sukki, F., Prabhu, R., & Sellami, N. (2024). Proposing an Approach for the Diffusion of Building Integrated Photovoltaics (BIPVs)—A Case Study. New Energy Exploitation and Application, 3(1), 8-26. https://doi.org/10.54963/neea.v3i1.196

Consistent probing into building integrity has led to the exploration of clean energy options such as building integrated photovoltaic (BIPV). BIPV has proven to be aesthetically pleasing, architecturally feasible, and capable of making buildings ene... Read More about Proposing an Approach for the Diffusion of Building Integrated Photovoltaics (BIPVs)—A Case Study.

Information Literacy Impact Framework (2024)
Presentation / Conference Contribution
Ryan, B., Cruickshank, P., & Milosheva, M. (2023, October). Information Literacy Impact Framework. Presented at European Conference on Information Literacy (ECIL2023), Krakow, Poland

This paper presents findings from a scoping review of academic literature reporting on information literacy (IL) impact. It is intended to deliver considerations towards a framework for impactful IL interventions, including development of parameters... Read More about Information Literacy Impact Framework.

‘New Clicks’: Developing User-Led Digital Literacies in Older Adults Within Scottish Public Libraries (2024)
Presentation / Conference Contribution
Feeney, A. J. (2023, October). ‘New Clicks’: Developing User-Led Digital Literacies in Older Adults Within Scottish Public Libraries. Presented at European Conference on Information Literacy, Krakow, Poland

Background
Research details that our present ‘digital-by-default' society structurally supports inequalities, where users without the requisite skills to enable meaningful engagement in the digital world are at an i ncreasingly severe disadvantage (... Read More about ‘New Clicks’: Developing User-Led Digital Literacies in Older Adults Within Scottish Public Libraries.

A Review of the Non-Fungible Tokens (NFT): Challenges and Opportunities (2024)
Presentation / Conference Contribution
Abubakar, M., Gunathilake, N. A., Buchanan, W. J., & O’Reilly, B. (2023, August). A Review of the Non-Fungible Tokens (NFT): Challenges and Opportunities. Presented at 13th EAI International Conference, BDTA 2023, Edinburgh

Non-Fungible Token (NFT) is an emerging blockchain-based technology. These tokens can represent digital assets, as it has proof of ownership built in. NFTs have the potential to hugely influence both the decentralised markets that exist now and the c... Read More about A Review of the Non-Fungible Tokens (NFT): Challenges and Opportunities.

RI-L1Approx: A novel Resnet-Inception-based Fast L1-approximation method for face recognition (2024)
Journal Article
Bajpai, S., Mishra, G., Jain, R., Jain, D. K., Saini, D., & Hussain, A. (2024). RI-L1Approx: A novel Resnet-Inception-based Fast L1-approximation method for face recognition. Neurocomputing, 613, Article 128708. https://doi.org/10.1016/j.neucom.2024.128708

Performance of deep learning methods for face recognition often relies on abundant data, posing challenges in surveillance and security where data availability is limited and environments are unconstrained. To address this challenge, we propose a nov... Read More about RI-L1Approx: A novel Resnet-Inception-based Fast L1-approximation method for face recognition.

The Lions’ Gate Permaculture Garden (2024)
Newspaper / Magazine
Egan, C. (2024). The Lions’ Gate Permaculture Garden

Callum Egan explains how his academic community transformed The Lions’ Gate at Napier University, Edinburgh, into a series of permaculture gardens to create a healthier, nature-focused form of educational workplace

Better trees: an empirical study on hyperparameter tuning of classification decision tree induction algorithms (2024)
Journal Article
Mantovani, R. G., Horváth, T., Rossi, A. L. D., Cerri, R., Barbon Junior, S., Vanschoren, J., & de Carvalho, A. C. P. L. F. (2024). Better trees: an empirical study on hyperparameter tuning of classification decision tree induction algorithms. Data Mining and Knowledge Discovery, 38, 1364–1416. https://doi.org/10.1007/s10618-024-01002-5

Machine learning algorithms often contain many hyperparameters whose values affect the predictive performance of the induced models in intricate ways. Due to the high number of possibilities for these hyperparameter configurations and their complex i... Read More about Better trees: an empirical study on hyperparameter tuning of classification decision tree induction algorithms.