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Digital twins of cyber physical systems in smart manufacturing for threat simulation and detection with deep learning for time series classification (2024)
Presentation / Conference
Lo, C., Win, T. Y., Rezaeifar, Z., Khan, Z., & Legg, P. (2024, August). Digital twins of cyber physical systems in smart manufacturing for threat simulation and detection with deep learning for time series classification. Paper presented at The 29th International Conference on Automation and Computing (ICAC2024), University of Sunderland, UK

With increasing reliance on Cyber Physical Systems (CPS) for automation and control in Industry 4.0 and 5.0, ensuring their security against cyber threats has become paramount. Traditional security mechanisms, constrained by operational continuity an... Read More about Digital twins of cyber physical systems in smart manufacturing for threat simulation and detection with deep learning for time series classification.

Electrical signal transfer characteristics of mycelium-bound composites and fungal fruiting bodies (2024)
Journal Article
Phillips, N., Weerasekera, R., Roberts, N., Gandia, A., & Adamatzky, A. (in press). Electrical signal transfer characteristics of mycelium-bound composites and fungal fruiting bodies. Fungal Ecology, Article 101358. https://doi.org/10.1016/j.funeco.2024.101358

Mycelium-bound composites are normally made of discrete lignocellulosic substrate elements bound together by filamentous fungal hyphae. They can be formed into bespoke components of desired geometries by moulding or extrusion. Mycelium-bound composit... Read More about Electrical signal transfer characteristics of mycelium-bound composites and fungal fruiting bodies.

The inadvertently revealing statistic: A systemic gap in statistical training? (2024)
Journal Article
Derrick, B., Green, E., Ritchie, F., Smith, J., & White, P. (2024). The inadvertently revealing statistic: A systemic gap in statistical training?. Significance, 21(1), 24-27. https://doi.org/10.1093/jrssig/qmae009

While concerns around data privacy are well-known, there's a lack of awareness and training when it comes to the confidentiality risk of published statistics, argue Ben Derrick, Elizabeth Green, Felix Ritchie, Jim Smith, Paul White