All Outputs (448)

Exploring Out-of-Classroom Activities for Students with Disabilities: Implications for Employability Skills Development (2024)
Presentation / Conference Contribution
Tungli, T., & Meharg, D. (2024, September). Exploring Out-of-Classroom Activities for Students with Disabilities: Implications for Employability Skills Development. Presented at The 4th Transdisciplinary Workplace Research (TWR) Conference, Edinburgh, UK

The inclusion of students with disabilities in tertiary education is rising globally, however research on their participation in out-of-classroom activities remains limited. This paper investigates the significance of out-of-classroom engagement for... Read More about Exploring Out-of-Classroom Activities for Students with Disabilities: Implications for Employability Skills Development.

ICT Systems Security and Privacy Protection: 39th IFIP International Conference, SEC 2024, Edinburgh, UK, June 12–14, 2024, Proceedings (2024)
Book
Pitropakis, N., Katsikas, S., Furnell, S., & Markantonakis, K. (Eds.). (2024). ICT Systems Security and Privacy Protection: 39th IFIP International Conference, SEC 2024, Edinburgh, UK, June 12–14, 2024, Proceedings. Springer. https://doi.org/10.1007/978-3-031-65175-5

This book constitutes the proceedings of the 39th IFIP International Conference on ICT Systems Security and Privacy Protection, SEC 2024, held in Edinburgh, UK, during June 12–14, 2024.

The 34 full papers presented were carefully reviewed and sel... Read More about ICT Systems Security and Privacy Protection: 39th IFIP International Conference, SEC 2024, Edinburgh, UK, June 12–14, 2024, Proceedings.

ABCNN-IDS: Attention-Based Convolutional Neural Network for Intrusion Detection in IoT Networks (2024)
Journal Article
Momand, A., Jan, S. U., & Ramzan, N. (in press). ABCNN-IDS: Attention-Based Convolutional Neural Network for Intrusion Detection in IoT Networks. Wireless Personal Communications, 136(4), 1981-2003. https://doi.org/10.1007/s11277-024-11260-7

This paper proposes an attention-based convolutional neural network (ABCNN) for intrusion detection in the Internet of Things (IoT). The proposed ABCNN employs an attention mechanism that aids in the learning process for low-instance classes. On the... Read More about ABCNN-IDS: Attention-Based Convolutional Neural Network for Intrusion Detection in IoT Networks.

Participatory Explorations in the Techno-Spiritual (2024)
Presentation / Conference Contribution
Grandison, T. (2024, June). Participatory Explorations in the Techno-Spiritual. Presented at The 22nd European Conference on Computer-Supported Cooperative Work, Rimini, Italy

This exploratory paper presents a pilot study conducted with 64 undergraduate students at Edinburgh Napier University in November 2023. The aim of this study was to understand how people who do not necessarily identify as religious engaged in what th... Read More about Participatory Explorations in the Techno-Spiritual.

Convex neural network synthesis for robustness in the 1-norm (2024)
Presentation / Conference Contribution
Drummond, R., Guiver, C., & Turner, M. C. (2024, July). Convex neural network synthesis for robustness in the 1-norm. Presented at 6th Annual Learning for Dynamics & Control Conference, Oxford, England

With neural networks being used to control safety-critical systems, they increasingly have to be both accurate (in the sense of matching inputs to outputs) and robust. However, these two properties are often at odds with each other and a trade-off ha... Read More about Convex neural network synthesis for robustness in the 1-norm.

A Comparison of the Efficiencies of various Structured and Semi- Structured Data Formats in Data Analysis and Big Data Analytic Development (2024)
Presentation / Conference Contribution
Peng, T., & Graham, H. (2024, July). A Comparison of the Efficiencies of various Structured and Semi- Structured Data Formats in Data Analysis and Big Data Analytic Development. Presented at DATA 2024: 13th International Conference on Data Science, Technology and Applications, Dijon, France

As data volumes grow, so too does our need and ability to analyse it. Cloud computing technologies offer a wide variety of options for analysing big data and make this ability available to anyone. However, the monetary implications for doing this in... Read More about A Comparison of the Efficiencies of various Structured and Semi- Structured Data Formats in Data Analysis and Big Data Analytic Development.

How Much do Robots Understand Rudeness? Challenges in Human-Robot Interaction (2024)
Presentation / Conference Contribution
Orme, M., Yu, Y., & Tan, Z. (2024, May). How Much do Robots Understand Rudeness? Challenges in Human-Robot Interaction. Presented at The 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024), Torino, Italy

This paper concerns the pressing need to understand and manage inappropriate language within the evolving human-robot interaction (HRI) landscape. As intelligent systems and robots transition from controlled laboratory settings to everyday households... Read More about How Much do Robots Understand Rudeness? Challenges in Human-Robot Interaction.

Privacy-Aware Single-Nucleotide Polymorphisms (SNPs) Using Bilinear Group Accumulators in Batch Mode (2024)
Presentation / Conference Contribution
Buchanan, W., Grierson, S., & Uribe, D. (2024, February). Privacy-Aware Single-Nucleotide Polymorphisms (SNPs) Using Bilinear Group Accumulators in Batch Mode. Presented at 10th International Conference on Information Systems Security and Privacy, Rome, Italy

Biometric data is often highly sensitive, and a leak of this data can lead to serious privacy breaches. Some of the most sensitive of this type of data relates to the usage of DNA data on individuals. A leak of this type of data without consent could... Read More about Privacy-Aware Single-Nucleotide Polymorphisms (SNPs) Using Bilinear Group Accumulators in Batch Mode.

Eco-friendly 3D Printing Mortar with Low Cement Content: Investigation on Printability and Mechanical Properties (2024)
Journal Article
Sukontasukkul, P., Komkham, S., Jamnam, S., Zhang, H., Fujikake, K., Puttiwongrak, A., & Hansapinyo, C. (2024). Eco-friendly 3D Printing Mortar with Low Cement Content: Investigation on Printability and Mechanical Properties. Civil Engineering Journal, 10(3), https://doi.org/10.28991/CEJ-2024-010-03-010

The conventional approach to achieving optimal printability and buildability in 3D printing mortar relies heavily on cement, which is both costly and environmentally detrimental due to substantial carbon emissions from its production. This study aims... Read More about Eco-friendly 3D Printing Mortar with Low Cement Content: Investigation on Printability and Mechanical Properties.

Digital Twins: Towards an Overarching Framework for the Built Environment (2024)
Journal Article
Bagireanu, A., Bros-Williamson, J., Duncheva, M., & Currie, J. (2024). Digital Twins: Towards an Overarching Framework for the Built Environment. Architectural and Environmental Engineering, 18(1), 1-11

Digital Twins (DTs) have entered the built environment from more established industries like aviation and manufacturing, although there has never been a common goal for utilising DTs at scale. Their assimilation into the built environment lacked its... Read More about Digital Twins: Towards an Overarching Framework for the Built Environment.

Library catalogue’s search interface: Making the most of subject metadata (2024)
Journal Article
Gnoli, C., Golub, K., Haynes, D., Salaba, A., Shiri, A., & Slavic, A. (2024). Library catalogue’s search interface: Making the most of subject metadata. Knowledge Organization, 51, 169-186. https://doi.org/10.5771/0943-7444-2024-3-169

This article addresses the underutilization of knowledge organization systems (KOS) elements in online library catalogues, hindering effective subject-based search and discovery. It highlights the International Society for Knowledge Organization's in... Read More about Library catalogue’s search interface: Making the most of subject metadata.

Generative AI-enabled Digital Twins for 6G-enhanced Smart Cities (2024)
Presentation / Conference Contribution
Duran, K., Cakir, L. V., Ozdem, M., Gursu, K., & Canberk, B. (2024, December). Generative AI-enabled Digital Twins for 6G-enhanced Smart Cities. Paper presented at IEEE Global Communications Conference (GLOBECOM) 2024, Cape Town, South Africa

6G networks are envisioned to enable a wide range of applications, such as autonomous vehicles and smart cities. However, this rapid expansion of network topologies makes the management of 6G wireless networks more complex and leads to performance de... Read More about Generative AI-enabled Digital Twins for 6G-enhanced Smart Cities.

Group-Signature Authentication to Secure Task Offloading in Vehicular Edge Twin Networks (2024)
Presentation / Conference Contribution
Al-Shareeda, S., Ozguner, F., & Canberk, B. (2024, December). Group-Signature Authentication to Secure Task Offloading in Vehicular Edge Twin Networks. Paper presented at 2024 IEEE Global Communications Conference (GLOBECOM), Cape Town, South Africa

This study delves into the integration of Group Signature (GS)-based authentication within Vehicular Edge Twin Networks (VETNs), a critical component in ensuring secure and efficient vehicular communication. By leveraging Proximal Policy Optimization... Read More about Group-Signature Authentication to Secure Task Offloading in Vehicular Edge Twin Networks.

Merging Fact & Fiction in War Comics: Diversity, Identity and Social Injustice (2024)
Book Chapter
Donald, I., Austin, H., & Pittner, F. Merging Fact & Fiction in War Comics: Diversity, Identity and Social Injustice. In Battle Lines Drawn: War Comics since 1914

This abstract discusses how war comics portray the historical record through a theoretical and conceptual textual model - the 3A Framework (3AF) which considers the representation of historical accuracy, authenticity and account (Donald & Reid, 2023)... Read More about Merging Fact & Fiction in War Comics: Diversity, Identity and Social Injustice.

Enhancing AI-Generated Image Detection with a Novel Approach and Comparative Analysis (2024)
Presentation / Conference Contribution
Weir, S., Khan, M. S., Moradpoor, N., & Ahmad, J. (2024, December). Enhancing AI-Generated Image Detection with a Novel Approach and Comparative Analysis. Paper presented at SINCONF 2024: 17th International Conference on Security of Information and Networks (SIN'24), Online

This study explores advancements in AI-generated image detection, emphasizing the increasing realism of images, including deepfakes, and the need for effective detection methods. Traditional Convolutional Neural Networks (CNNs) have shown success but... Read More about Enhancing AI-Generated Image Detection with a Novel Approach and Comparative Analysis.

Enhancing Security and Privacy in Federated Learning for Connected Autonomous Vehicles with Lightweight Blockchain and Binius Zero- Knowledge Proofs (2024)
Presentation / Conference Contribution
Andriambelo, N. H., & Moradpoor, N. (2024, December). Enhancing Security and Privacy in Federated Learning for Connected Autonomous Vehicles with Lightweight Blockchain and Binius Zero- Knowledge Proofs. Paper presented at SINCONF 2024: 17th International Conference on Security of Information and Networks (SIN'24), Online

The rise of autonomous vehicles (AVs) brings with it the need for secure and privacy-preserving machine learning models. Federated learning (FL) allows AVs to collaboratively train models while keeping raw data localized. However, traditional FL syst... Read More about Enhancing Security and Privacy in Federated Learning for Connected Autonomous Vehicles with Lightweight Blockchain and Binius Zero- Knowledge Proofs.

A narrative review on vital criteria of fungal dyes as dye-sensitized solar cell (DSSC) (2024)
Journal Article
Pirdaus, N. A., Muhammad-Sukki, F., Ahmad, N., & Wan-Mohtar, W. A. A. Q. I. (2024). A narrative review on vital criteria of fungal dyes as dye-sensitized solar cell (DSSC). Discover Applied Sciences, 6(10), Article 553. https://doi.org/10.1007/s42452-024-06256-8

The main two reasons for the shift to renewable energy are the depletion and the harmful effects of non-renewable energy, such as burning coal and fossil fuels. As a result, the use of solar cells as renewable energy resources, that prioritise high e... Read More about A narrative review on vital criteria of fungal dyes as dye-sensitized solar cell (DSSC).

Policies and technological landscapes in sustainable design (2024)
Book Chapter
Sajjadian, S. M. (2024). Policies and technological landscapes in sustainable design. In D. Clements-Croome (Ed.), Intelligent Buildings and Infrastructure with Sustainable and Social Values (205-214). (Third edition). Emerald

Performance of yellow and pink oyster mushroom dyes in dye sensitized solar cell (2024)
Journal Article
Muhammad-Sukki, F., Pirdaus, N. A., Ahmad, N., Dahlan, N. Y., Redzuan, A. N., Zalizan, A. H., Bani, N. A., Abdul Patah, M. F., & Wan-Mohtar, W. A. A. Q. I. (2024). Performance of yellow and pink oyster mushroom dyes in dye sensitized solar cell. Scientific Reports, 14, Article 23757. https://doi.org/10.1038/s41598-024-73865-z

A solar photovoltaic (PV) cell, is an electrical device that uses the PV effect to convert light energy into electricity. The application of oyster mushroom dyes in dye sensitized solar cell (DSSC) is a novel strategy to substitute the costly chemica... Read More about Performance of yellow and pink oyster mushroom dyes in dye sensitized solar cell.

A Secure Authentication Framework for Consumer Mobile Crowdsourcing Networks (2024)
Journal Article
Aldosary, A., Tanveer, M., Ahmad, M., Maghrabi, L. A., Ahmed, E. A., Hussain, A., & El-Latif, A. A. A. (2024). A Secure Authentication Framework for Consumer Mobile Crowdsourcing Networks. IEEE Transactions on Consumer Electronics, https://doi.org/10.1109/tce.2024.3473930

The Mobile crowdsourcing network (MCN) leverages collaborative intelligence to solve complex tasks through group cooperation. It comprises three main components: the end-user, the service provider, and the mobile user. The end-user requests crowd-sen... Read More about A Secure Authentication Framework for Consumer Mobile Crowdsourcing Networks.