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Approach to breech face impression comparison based on the robust estimation of a correspondence function (2022)
Journal Article
Zhang, H., Zaman Robin, A. U., Zhu, J., Lu, C., Fang, C., & Shyha, I. (2022). Approach to breech face impression comparison based on the robust estimation of a correspondence function. Forensic Science International, 333, Article 111229. https://doi.org/1

Forensic firearm analysis concerns an attempt to determine if ammunition is associated with a specific firearm based on tool-marks produced by it. A feature-based method using the Scale Invariant Feature Transform (SIFT) and RANdom SAmple Consensus (... Read More about Approach to breech face impression comparison based on the robust estimation of a correspondence function.

Detecting Alzheimer’s Disease Using Machine Learning Methods (2022)
Presentation / Conference Contribution
Dashtipour, K., Taylor, W., Ansari, S., Zahid, A., Gogate, M., Ahmad, J., Assaleh, K., Arshad, K., Ali Imran, M., & Abbasi, Q. (2021, October). Detecting Alzheimer’s Disease Using Machine Learning Methods. Presented at 16th EAI International Conference,

As the world is experiencing population growth, the portion of the older people, aged 65 and above, is also growing at a faster rate. As a result, the dementia with Alzheimer’s disease is expected to increase rapidly in the next few years. Currently,... Read More about Detecting Alzheimer’s Disease Using Machine Learning Methods.

Comparing the Performance of Different Classifiers for Posture Detection (2022)
Presentation / Conference Contribution
Suresh Kumar, S., Dashtipour, K., Gogate, M., Ahmad, J., Assaleh, K., Arshad, K., Imran, M. A., Abbasi, Q., & Ahmad, W. (2021, October). Comparing the Performance of Different Classifiers for Posture Detection. Presented at 16th EAI International Conferen

Human Posture Classification (HPC) is used in many fields such as human computer interfacing, security surveillance, rehabilitation, remote monitoring, and so on. This paper compares the performance of different classifiers in the detection of 3 post... Read More about Comparing the Performance of Different Classifiers for Posture Detection.

Sustainable Building Renovation in Residential Buildings: Barriers and Potential Motivations in Norwegian Culture (2022)
Journal Article
Jowkar, M., Temeljotov-Salajb, A., Margaret Lindkvist, C., & Støre-Valen, M. (2022). Sustainable Building Renovation in Residential Buildings: Barriers and Potential Motivations in Norwegian Culture. Construction Management and Economics, 40(3), 161-172.

Retrofit of existing housing increases the possibility of meeting Sustainable Development Goals. Improving quality of life, minimising energy consumption and increasing productivity in buildings process with the aim of affordable housing (social, env... Read More about Sustainable Building Renovation in Residential Buildings: Barriers and Potential Motivations in Norwegian Culture.

Blockchain-based Platform for Secure Sharing and Validation of Vaccination Certificates (2022)
Presentation / Conference Contribution
Abubakar, M., McCarron, P., Jaroucheh, Z., Al Dubai, A., & Buchanan, B. (2022). Blockchain-based Platform for Secure Sharing and Validation of Vaccination Certificates. In 2021 14th International Conference on Security of Information and Networks (SIN).

The COVID-19 pandemic has recently emerged as a worldwide health emergency that necessitates coordinated international measures. To contain the virus's spread, governments and health organisations raced to develop vaccines that would lower Covid-19 m... Read More about Blockchain-based Platform for Secure Sharing and Validation of Vaccination Certificates.

Beyond recycling: an LCA-based decision-support tool to accelerate Scotland's transition to a circular economy (2022)
Journal Article
Salemdeeb, R., Saint, R., Pomponi, F., Pratt, K., & Lenaghan, M. (2022). Beyond recycling: an LCA-based decision-support tool to accelerate Scotland's transition to a circular economy. Resources, Conservation and Recycling, 13, Article 200069. https://doi

Resources and waste strategies have recently seen a shift in focus from weight-based recycling targets to impact-driven policies. To support this transition, numerous decision-support tools were developed to help identify waste streams with the highe... Read More about Beyond recycling: an LCA-based decision-support tool to accelerate Scotland's transition to a circular economy.

HDL-IDS: A Hybrid Deep Learning Architecture for Intrusion Detection in the Internet of Vehicles (2022)
Journal Article
Ullah, S., Khan, M. A., Ahmad, J., Jamal, S. S., e Huma, Z., Hassan, M. T., …Buchanan, W. J. (2022). HDL-IDS: A Hybrid Deep Learning Architecture for Intrusion Detection in the Internet of Vehicles. Sensors, 22(4), Article 1340. https://doi.org/10.3390/

Internet of Vehicles (IoV) is an application of the Internet of Things (IoT) network that connects smart vehicles to the internet, and vehicles with each other. With the emergence of IoV technology, customers have placed great attention on smart vehi... Read More about HDL-IDS: A Hybrid Deep Learning Architecture for Intrusion Detection in the Internet of Vehicles.

Min-max Training: Adversarially Robust Learning Models for Network Intrusion Detection Systems (2022)
Presentation / Conference Contribution
Grierson, S., Thomson, C., Papadopoulos, P., & Buchanan, B. (2021, December). Min-max Training: Adversarially Robust Learning Models for Network Intrusion Detection Systems. Presented at 2021 14th International Conference on Security of Information and Ne

Intrusion detection systems are integral to the security of networked systems for detecting malicious or anomalous network traffic. As traditional approaches are becoming less effective, machine learning and deep learning-based intrusion detection sy... Read More about Min-max Training: Adversarially Robust Learning Models for Network Intrusion Detection Systems.

Privacy-preserving and Trusted Threat Intelligence Sharing using Distributed Ledgers (2022)
Presentation / Conference Contribution
Ali, H., Papadopoulos, P., Ahmad, J., Pit, N., Jaroucheh, Z., & Buchanan, W. J. (2021, December). Privacy-preserving and Trusted Threat Intelligence Sharing using Distributed Ledgers. Presented at IEEE SINCONF: 14th International Conference on Security of

Threat information sharing is considered as one of the proactive defensive approaches for enhancing the overall security of trusted partners. Trusted partner organizations can provide access to past and current cybersecurity threats for reducing the... Read More about Privacy-preserving and Trusted Threat Intelligence Sharing using Distributed Ledgers.

PAN-DOMAIN: Privacy-preserving Sharing and Auditing of Infection Identifier Matching (2022)
Presentation / Conference Contribution
Abramson, W., Buchanan, W. J., Sayeed, S., Pitropakis, N., & Lo, O. (2021, December). PAN-DOMAIN: Privacy-preserving Sharing and Auditing of Infection Identifier Matching. Presented at 14th International Conference on Security of Information and Networks,

The spread of COVID-19 has highlighted the need for a robust contact tracing infrastructure that enables infected individuals to have their contacts traced, and followed up with a test. The key entities involved within a contact tracing infrastructur... Read More about PAN-DOMAIN: Privacy-preserving Sharing and Auditing of Infection Identifier Matching.

Data-inspired co-design for museum and gallery visitor experiences (2022)
Journal Article
Darzentas, D., Cameron, H., Wagner, H., Craigon, P., Bodiaj, E., Spence, J., …Benford, S. (2022). Data-inspired co-design for museum and gallery visitor experiences. Artificial intelligence for engineering design, analysis and manufacturing : AI EDAM, 3

The capture and analysis of diverse data is widely recognized as being vital to the design of new products and services across the digital economy. We focus on its use to inspire the co-design of visitor experiences in museums as a distinctive case t... Read More about Data-inspired co-design for museum and gallery visitor experiences.

Wireless Electromagnetic Radiation Assessment Based on the Specific Absorption Rate (SAR): A Review Case Study (2022)
Journal Article
Abdul-Al, M., Amar, A. S., Elfergani, I., Littlehales, R., Parchin, N., Al-Yasir, Y., See, C. H., Zhou, D., Binti Zainal Abidin, Z., Alibakhshikenari, M., Zebiri, C., Elmegri, F., Abusitta, M., Ullah, A., Abdussalam, F. M., Rodriguez, J., McEwan, N. J., N

Employing Electromagnetic Fields (EMFs) in new wireless communication and sensing technologies has substantially increased the level of human exposure to EMF waves. This paper presents a useful insight into the interaction of electromagnetic fields w... Read More about Wireless Electromagnetic Radiation Assessment Based on the Specific Absorption Rate (SAR): A Review Case Study.

GLASS: Towards Secure and Decentralized eGovernance Services using IPFS (2022)
Presentation / Conference Contribution
Chrysoulas, C., Thomson, A., Pitropakis, N., Papadopoulos, P., Lo, O., Buchanan, W. J., Domalis, G., Karacapilidis, N., Tsakalidis, D., & Tsolis, D. (2021, October). GLASS: Towards Secure and Decentralized eGovernance Services using IPFS. Presented at 7th

The continuously advancing digitization has provided answers to the bureaucratic problems faced by eGovernance services. This innovation led them to an era of automation, broadened the attack surface and made them a popular target for cyber attacks.... Read More about GLASS: Towards Secure and Decentralized eGovernance Services using IPFS.

SSDBN: A Single-Side Dual-Branch Network with Encoder–Decoder for Building Extraction (2022)
Journal Article
Li, Y., Lu, H., Liu, Q., Zhang, Y., & Liu, X. (2022). SSDBN: A Single-Side Dual-Branch Network with Encoder–Decoder for Building Extraction. Remote Sensing, 14(3), Article 768. https://doi.org/10.3390/rs14030768

In the field of building detection research, an accurate, state-of-the-art semantic segmentation model must be constructed to classify each pixel of the image, which has an important reference value for the statistical work of a building area. Recent... Read More about SSDBN: A Single-Side Dual-Branch Network with Encoder–Decoder for Building Extraction.

The relationship between bending and tension strength of Irish and UK spruce and pine (2022)
Journal Article
Gil-Moreno, D., Ridley-Ellis, D., O'Ceallaigh, C., & Harte, A. M. (2022). The relationship between bending and tension strength of Irish and UK spruce and pine. European Journal of Wood and Wood Products, 80, 585-596. https://doi.org/10.1007/s00107-022-01

The correct characterisation of wood properties is fundamental for the best utilisation of resources. In Europe, grading is defined by strength classes that are determined based on either bending or tension tests. The European standards give equation... Read More about The relationship between bending and tension strength of Irish and UK spruce and pine.

A Privacy-Preserving Platform for Recording COVID-19 Vaccine Passports (2022)
Presentation / Conference Contribution
Barati, M., Buchanan, W. J., Lo, O., & Rana, O. (2022). A Privacy-Preserving Platform for Recording COVID-19 Vaccine Passports. In UCC '21: Proceedings of the 14th IEEE/ACM International Conference on Utility and Cloud Computing Companion. https://doi.or

Digital vaccination passports are being proposed by various governments internationally. Trust, scalability and security are all key challenges in implementing an online vaccine passport. Initial approaches attempt to solve this problem by using cent... Read More about A Privacy-Preserving Platform for Recording COVID-19 Vaccine Passports.

Chest X-ray Classification for the Detection of COVID-19 Using Deep Learning Techniques (2022)
Journal Article
Khan, E., Rehman, M. Z. U., Ahmed, F., Alfouzan, F. A., Alzahrani, N. M., & Ahmad, J. (2022). Chest X-ray Classification for the Detection of COVID-19 Using Deep Learning Techniques. Sensors, 22(3), Article 1211. https://doi.org/10.3390/s22031211

Recent technological developments pave the path for deep learning-based techniques to be used in almost every domain of life. The precision of deep learning techniques make it possible for these to be used in the medical field for the classification... Read More about Chest X-ray Classification for the Detection of COVID-19 Using Deep Learning Techniques.

Computational analysis of an HCCI engine fuelled with hydrogen/hydrogen peroxide blends (2022)
Journal Article
Dimitrova, I. D., Megaritis, T., Ganippa, L. C., & Tingas, E. (2022). Computational analysis of an HCCI engine fuelled with hydrogen/hydrogen peroxide blends. International Journal of Hydrogen Energy, 47(17), 10083-10096. https://doi.org/10.1016/j.ijhyden

In the current work, Chemkin Pro's HCCI numerical model is used in order to explore the feasibility of using hydrogen in a dual fuel concept where hydrogen peroxide acts as ignition promoter. The analysis focuses on the engine performance characteris... Read More about Computational analysis of an HCCI engine fuelled with hydrogen/hydrogen peroxide blends.

Toward a reference architecture based science gateway framework with embedded e‐learning support (2022)
Journal Article
Pierantoni, G., Kiss, T., Bolotov, A., Kagialis, D., DesLauriers, J., Ullah, A., …Gesing, S. (2023). Toward a reference architecture based science gateway framework with embedded e‐learning support. Concurrency and Computation: Practice and Experience

Science gateways have been widely utilized by a large number of user communities to simplify access to complex distributed computing infrastructures. While science gateways are still becoming increasingly popular and the number of user communities is... Read More about Toward a reference architecture based science gateway framework with embedded e‐learning support.