Outputs (11158)

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.

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.

Unveiling the Significance of Graphene Nanoplatelet (GNP) Localization in Tuning the Performance of PP/HDPE Blends (2024)
Journal Article
Salehiyan, R., El-Samak, A. A., Kamkar, M., Erfanian, E., Hodge, S. A., Sundararaj, U., & McNally, T. (2024). Unveiling the Significance of Graphene Nanoplatelet (GNP) Localization in Tuning the Performance of PP/HDPE Blends. Materials, 17(22), Article 5673. https://doi.org/10.3390/ma17225673

High-density polyethylene (HDPE) and polypropylene (PP) blends are widely used in industries requiring mechanically durable materials, yet the impact of processing parameters on blend performance remains underexplored. This study investigates the inf... Read More about Unveiling the Significance of Graphene Nanoplatelet (GNP) Localization in Tuning the Performance of PP/HDPE Blends.

You Are What You Write: Author re-identification privacy attacks in the era of pre-trained language models (2024)
Journal Article
Plant, R., Giuffrida, V., & Gkatzia, D. (online). You Are What You Write: Author re-identification privacy attacks in the era of pre-trained language models. Computer Speech and Language, https://doi.org/10.1016/j.csl.2024.101746

The widespread use of pre-trained language models has revolutionised knowledge transfer in natural language processing tasks. However, there is a concern regarding potential breaches of user trust due to the risk of re-identification attacks, where m... Read More about You Are What You Write: Author re-identification privacy attacks in the era of pre-trained language models.

Optimizing Carbon Structures in Laser-Induced Graphene Electrodes Using Design of Experiments for Enhanced Electrochemical Sensing Characteristics (2024)
Journal Article
Fantinelli Franco, F., Malik, M. H., Manjakkal, L., Roshanghias, A., Smith, C. J., & Gauchotte-Lindsay, C. (online). Optimizing Carbon Structures in Laser-Induced Graphene Electrodes Using Design of Experiments for Enhanced Electrochemical Sensing Characteristics. ACS applied materials & interfaces, https://doi.org/10.1021/acsami.4c13124

In this study, we explored the morphological and electrochemical properties of carbon-based electrodes derived from laser-induced graphene (LIG) and compared them to commercially available graphene-sheet screen-printed electrodes (GS-SPEs). By optimi... Read More about Optimizing Carbon Structures in Laser-Induced Graphene Electrodes Using Design of Experiments for Enhanced Electrochemical Sensing Characteristics.

The ‘Skills Gap’ in the Animation/VFX industry in Scotland (2024)
Journal Article
Mortimer, J., Richards, K., & Pilcher, N. (2024). The ‘Skills Gap’ in the Animation/VFX industry in Scotland. Animation, 19(2-3), 161-176. https://doi.org/10.1177/17468477241281629

Integral to the animation and visual effects (VFX) industry are graduates with industry focused skills. Yet, the industry is rapid and ever changing, almost defying attempts to define it. How then should animation/VFX, and indeed any subject of a sim... Read More about The ‘Skills Gap’ in the Animation/VFX industry in Scotland.

RF sensing enabled tracking of human facial expressions using machine learning algorithms (2024)
Journal Article
Hameed, H., Elsayed, M., Kaur, J., Usman, M., Tang, C., Ghadban, N., Kernec, J. L., Hussain, A., Imran, M., & Abbasi, Q. H. (2024). RF sensing enabled tracking of human facial expressions using machine learning algorithms. Scientific Reports, 14(1), Article 27800. https://doi.org/10.1038/s41598-024-75909-w

Automatic analysis of facial expressions has emerged as a prominent research area in the past decade. Facial expressions serve as crucial indicators for understanding human behavior, enabling the identification and assessment of positive and negative... Read More about RF sensing enabled tracking of human facial expressions using machine learning algorithms.