Skip to main content

Research Repository

Advanced Search

All Outputs (4470)

A Technical Review on Blue and Blue-Green Roofs (2024)
Presentation / Conference Contribution
Smith, R., & Sajjadian, S. M. (2023, September). A Technical Review on Blue and Blue-Green Roofs. Presented at International Conference on Sustainability in Energy and Buildings SEB-23, Bari, Italy

Increased development of Greenfield areas to tackle housing shortages, combined with increased rainfall due to climate change has created drainage issues within urban areas, this has increased pressure on existing drainage infrastructure and has inte... Read More about A Technical Review on Blue and Blue-Green Roofs.

Deep Learning-Based Receiver Design for IoT Multi-User Uplink 5G-NR System (2024)
Presentation / Conference Contribution
Gupta, A., Bishnu, A., Ratnarajah, T., Adeel, A., Hussain, A., & Sellathurai, M. (2023, December). Deep Learning-Based Receiver Design for IoT Multi-User Uplink 5G-NR System. Presented at GLOBECOM 2023 - 2023 IEEE Global Communications Conference, Kuala Lumpur, Malaysia

Designing an efficient receiver for multiple users transmitting orthogonal frequency-division multiplexing signals to the base station remain a challenging interference-limited problem in 5G-new radio (5G-NR) system. This can lead to stagnation of de... Read More about Deep Learning-Based Receiver Design for IoT Multi-User Uplink 5G-NR System.

A Deep Transfer Learning-Powered EDoS Detection Mechanism for 5G and Beyond Network Slicing (2024)
Presentation / Conference Contribution
Benzaïd, C., Taleb, T., Sami, A., & Hireche, O. (2023, December). A Deep Transfer Learning-Powered EDoS Detection Mechanism for 5G and Beyond Network Slicing. Presented at GLOBECOM 2023 - 2023 IEEE Global Communications Conference, Kuala Lumpur, Malaysia

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 Economical Denial of Sustainability (EDoS) attack, causing economic losses t... Read More about A Deep Transfer Learning-Powered EDoS Detection Mechanism for 5G and Beyond Network Slicing.

A Grading Entropy Review of PSD-Based Frost Susceptibility Criteria (2024)
Presentation / Conference Contribution
Leak, J., Barreto, D., Wright, C., Bernal Sanchez, J., & Imre, E. (2024, February). A Grading Entropy Review of PSD-Based Frost Susceptibility Criteria. Presented at Geo-Congress 2024, Vancouver, British Columbia

Particle size distribution (PSD) is recognised among geotechnical engineers as an informative soil descriptor, and often used to predict geomechanical behaviours. However, the effectiveness of PSD to characterise frost action is debatable. Existing c... Read More about A Grading Entropy Review of PSD-Based Frost Susceptibility Criteria.

Exploring the Use of Rock Flour for Sustainable Peat Stabilisation (2024)
Presentation / Conference Contribution
Bernal-Sanchez, J., Coll, J., Leak, J., & Barreto, D. (2024, February). Exploring the Use of Rock Flour for Sustainable Peat Stabilisation. Presented at Geo-Congress 2024, Vancouver, British Columbia, Canada

This paper aims to investigate the mechanical behaviour of peat stabilised with glacial rock flour for foundation construction. Peat, a natural organic soil, presents challenges for construction due to its high compressibility and low bearing capacit... Read More about Exploring the Use of Rock Flour for Sustainable Peat Stabilisation.

Screen Printed RuO2 Films for Energy Storage and Electrochemical Sensors (2024)
Presentation / Conference Contribution
Paul, F., Sam, V., Uppuluri, K., Beg, M., & Manjakkal, L. (2024, February). Screen Printed RuO2 Films for Energy Storage and Electrochemical Sensors. Poster presented at The 10th annual Innovations in Large-Area Electronics Conference (innoLAE 2024), Cambridge

Electrochemical Capacitors based on Organic Semiconductors and Metal Oxides (2024)
Presentation / Conference Contribution
Kanathedath, J., Nair, R., Peringath, A. R., Sasikumar, A., Paul, F., Beg, M., & Manjakkal, L. (2024, February). Electrochemical Capacitors based on Organic Semiconductors and Metal Oxides. Poster presented at The 10th annual Innovations in Large-Area Electronics Conference (innoLAE 2024), Cambridge

‘New Clicks’: Developing User-Led Digital Literacies in Older Adults Within Scottish Public Libraries (2024)
Presentation / Conference Contribution
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 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.

Information Literacy Impact Framework (2024)
Presentation / Conference Contribution
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 framework for impactful IL interventions, including development of parameters... Read More about Information Literacy Impact Framework.

Can Federated Models Be Rectified Through Learning Negative Gradients? (2024)
Presentation / Conference Contribution
Tahir, A., Tan, Z., & Babaagba, K. O. Can Federated Models Be Rectified Through Learning Negative Gradients?. Presented at 13th EAI International Conference, BDTA 2023, Edinburgh

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 vulnerable to malicious attacks, such as poisoning attacks, and is challen... Read More about Can Federated Models Be Rectified Through Learning Negative Gradients?.

An Auditable Framework for Evidence Sharing and Management using Smart Lockers and Distributed Technologies: Law Enforcement Use Case (2024)
Presentation / Conference Contribution
Onyeashie, B., Leimich, P., McKeown, S., & Russell, G. (2023, August). An Auditable Framework for Evidence Sharing and Management using Smart Lockers and Distributed Technologies: Law Enforcement Use Case. Presented at EAI BDTA 2023 - 13th EAI International Conference on Big Data Technologies and Applications, Edinburgh

This paper presents a decentralised framework for sharing and managing evidence that uses smart lockers, blockchain technology, and the InterPlanetary File System (IPFS). The system incorporates Hyperledger Fabric blockchain for immutability and tamp... Read More about An Auditable Framework for Evidence Sharing and Management using Smart Lockers and Distributed Technologies: Law Enforcement Use Case.

A Bibliometric Analysis and Systematic Review of a Blockchain-Based Chain of Custody for Digital Evidence (2024)
Presentation / Conference Contribution
Onyeashie, B. I., Leimich, P., McKeown, S., & Russell, G. (2023, August). A Bibliometric Analysis and Systematic Review of a Blockchain-Based Chain of Custody for Digital Evidence. Presented at EAI BDTA 2023 - 13th EAI International Conference on Big Data Technologies and Applications, Edinburgh, UK

The effective management of digital evidence is critical to modern forensic investigations. However, traditional evidence management approaches are often prone to security and integrity issues. In recent years, the use of blockchain technology has em... Read More about A Bibliometric Analysis and Systematic Review of a Blockchain-Based Chain of Custody for Digital Evidence.

Image Forgery Detection using Cryptography and Deep Learning (2024)
Presentation / Conference Contribution
Oke, A., & Babaagba, K. O. (2024). Image Forgery Detection using Cryptography and Deep Learning. In Big Data Technologies and Applications. BDTA 2023 (62-78). https://doi.org/10.1007/978-3-031-52265-9_5

The advancement of technology has undoubtedly exposed everyone to a remarkable array of visual imagery. Nowadays, digital technology is eating away the trust and historical confidence people have in the integrity of imagery. Deep learning is often us... Read More about Image Forgery Detection using Cryptography and Deep Learning.

Design Of A Serious Game For Safety In Manufacturing Industry Using Hybrid Simulation Modelling: Towards Eliciting Risk Preferences (2024)
Presentation / Conference Contribution
El Raoui, H., Quigley, J., Aslan, A., Vasantha, G., Hanson, J., Corney, J., & Sherlock, A. (2023, December). Design Of A Serious Game For Safety In Manufacturing Industry Using Hybrid Simulation Modelling: Towards Eliciting Risk Preferences. Presented at The Winter Simulation Conference 2023, San Antonio, Texas

Conventional methods used to elicit risk-taking preferences have demonstrated significant disparities with real-world behaviours, compromising the validity of the data collected. Serious gaming (SG) provides a high potential to bridge this gap. This... Read More about Design Of A Serious Game For Safety In Manufacturing Industry Using Hybrid Simulation Modelling: Towards Eliciting Risk Preferences.

A Multiple-stage Uniform Transmission Line Matching Technique for Triple-Band RF to-DC Rectifier with Harmonic Suppression for Wireless Power Transfer Applications. (2024)
Presentation / Conference Contribution
Odiamenhi, M., See, C. H., Ojaroudi Parchin, N., Yu, H., & Goh, K. (2024, February). A Multiple-stage Uniform Transmission Line Matching Technique for Triple-Band RF to-DC Rectifier with Harmonic Suppression for Wireless Power Transfer Applications. Presented at URSI UK Symposium, National Physics Laboratory, Teddington

A Review of the Benefits of Automation and Robotic Application in Building Construction (2024)
Presentation / Conference Contribution
Ejidike, C. C., Mewomo, M. C., Olawumi, T. O., & Esangbedo, O. P. (2023, June). A Review of the Benefits of Automation and Robotic Application in Building Construction. Presented at ASCE International Conference on Computing in Civil Engineering 2023, Corvallis, Oregon

Globally, building construction is complex and advanced in performance. The improvement of the economy and social benefits of building delivery depends critically on applying automation and robotic technology throughout all stages of construction. Th... Read More about A Review of the Benefits of Automation and Robotic Application in Building Construction.