Utilizing the Ensemble Learning and XAI for Performance Improvements in IoT Network Attack Detection
Conference Proceeding
Kalutharage, C. S., Liu, X., Chrysoulas, C., & Bamgboye, O. (2024)
Utilizing the Ensemble Learning and XAI for Performance Improvements in IoT Network Attack Detection. In Computer Security. ESORICS 2023 International Workshops (125-139). https://doi.org/10.1007/978-3-031-54129-2_8
Vacuum Insulation Panels for Domestic New Builds and Refurbishment in Scotland
Conference Proceeding
Mitchell, N., & Sajjadian, S. M. (2024)
Vacuum Insulation Panels for Domestic New Builds and Refurbishment in Scotland. In Sustainability in Energy and Buildings 2023. https://doi.org/10.1007/978-981-99-8501-2_1
Insulations have fundamental role in buildings’ thermal performance by assisting in reducing heat loss and excessive heat gain through the thermal envelope, which subsequently...
A Technical Review on Blue and Blue-Green Roofs
Conference Proceeding
Smith, R., & Sajjadian, S. M. (2024)
A Technical Review on Blue and Blue-Green Roofs. In Sustainability in Energy and Buildings 2023. https://doi.org/10.1007/978-981-99-8501-2_5
Increased development of Greenfield areas to tackle housing shortages, combined with increased rainfall due to climate change has created drainage issues within urban areas, t...
A Review on Blue Roofs in new UK Constructions
Conference Proceeding
Jack, J., & Sajjadian, S. M. (2024)
A Review on Blue Roofs in new UK Constructions. In Sustainability in Energy and Buildings 2023 (79-87). https://doi.org/10.1007/978-981-99-8501-2
Flooding causes significant risk to the UK’s infrastructure and the need for additional stormwater management systems is growing rapidly. The demand for housing, lack of land,...
A Deep Transfer Learning-Powered EDoS Detection Mechanism for 5G and Beyond Network Slicing
Conference Proceeding
Benzaïd, C., Taleb, T., Sami, A., & Hireche, O. (2024)
A Deep Transfer Learning-Powered EDoS Detection Mechanism for 5G and Beyond Network Slicing. In GLOBECOM 2023 - 2023 IEEE Global Communications Conference (4747-4753). https://doi.org/10.1109/globecom54140.2023.10436891
Network slicing is recognized as a key enabler for 5G and beyond (B5G) services. However, its dynamic nature and the growing sophistication of DDoS attacks put it at risk of E...
A Grading Entropy Review of PSD-Based Frost Susceptibility Criteria
Conference Proceeding
Leak, J., Barreto, D., Wright, C., Bernal Sanchez, J., & Imre, E. (2024)
A Grading Entropy Review of PSD-Based Frost Susceptibility Criteria. In T. M. Evans, N. Stark, & S. Chang (Eds.), Geo-Congress 2024: Soil Improvement, Sustainability, Geoenvironmental, and Cold Regions Engineering (714-724). https://doi.org/10.1061/9780784485330.072
Particle size distribution (PSD) is recognised among geotechnical engineers as an informative soil descriptor, and often used to predict geomechanical behaviours. However, the...
How Much do Robots Understand Rudeness? Challenges in Human-Robot Interaction
Conference Proceeding
Orme, M., Yu, Y., & Tan, Z. (in press)
How Much do Robots Understand Rudeness? Challenges in Human-Robot Interaction.
This paper concerns the pressing need to understand and manage inappropriate language within the evolving human-robot interaction (HRI) landscape. As intelligent systems and r...
Information Literacy Impact Framework
Conference Proceeding
Ryan, B., Cruickshank, P., & Milosheva, M. (in press)
Information Literacy Impact Framework. In ECIL2023 (15-27). https://doi.org/10.1007/978-3-031-52998-6_2
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 fra...
‘New Clicks’: Developing User-Led Digital Literacies in Older Adults Within Scottish Public Libraries
Conference Proceeding
Feeney, A. J. (2024)
‘New Clicks’: Developing User-Led Digital Literacies in Older Adults Within Scottish Public Libraries. In European Conference on Information Literacy (121-129). https://doi.org/10.1007/978-3-031-53001-2_11
Background
Research details that our present ‘digital-by-default' society structurally supports inequalities, where users without the requisite skills to enable meaningful eng...
Can Federated Models Be Rectified Through Learning Negative Gradients?
Conference Proceeding
Tahir, A., Tan, Z., & Babaagba, K. O. (2024)
Can Federated Models Be Rectified Through Learning Negative Gradients?. In Big Data Technologies and Applications (18-32). https://doi.org/10.1007/978-3-031-52265-9_2
Federated Learning (FL) is a method to train machine learning (ML) models in a decentralised manner, while preserving the privacy of data from multiple clients. However, FL is...