All Outputs (81)

Review of the partially overlapping samples framework: Paired observations and independent observations in two samples (2022)
Journal Article
Derrick, B., & White, P. (2022). Review of the partially overlapping samples framework: Paired observations and independent observations in two samples. Quantitative Methods for Psychology, 18(1), 55-65. https://doi.org/10.20982/tqmp.18.1.p055

A frequently asked question in quantitative research is how to compare two samples that include some combination of paired observations and unpaired observations. In our publications and R package, we refer to the scenario as ‘partially overlapping... Read More about Review of the partially overlapping samples framework: Paired observations and independent observations in two samples.

Modelling interrelationship between diseases with communicating stream x-machines (2022)
Journal Article
Jayatilake, D., Phung, K., Ogunshile, E., & Aydin, M. (2022). Modelling interrelationship between diseases with communicating stream x-machines. Proceedings of the Institute for System Programming of the RAS, 34(6), 147-164. https://doi.org/10.15514/ispras-2022-34%286%29-11

The world is moving towards alternative medicine and behavioural alteration for treating, managing, and preventing chronical diseases. In the last few decades, diagrammatical models have been extensively used to describe and understand the behaviou... Read More about Modelling interrelationship between diseases with communicating stream x-machines.

Predictive maintenance analytics and implementation for aircraft: Challenges and opportunities (2022)
Journal Article
Stanton, I., Munir, K., Ikram, A., & El-Bakry, M. (2023). Predictive maintenance analytics and implementation for aircraft: Challenges and opportunities. Systems Engineering, 26(2), 216-237. https://doi.org/10.1002/sys.21651

The increase in available data from sensors embedded in industrial equipment has led to a recent rise in the use of industrial predictive maintenance. In the aircraft industry, predictive maintenance has become an essential tool for optimizing mainte... Read More about Predictive maintenance analytics and implementation for aircraft: Challenges and opportunities.

Defending against adversarial machine learning attacks using hierarchical learning: A case study on network traffic attack classification (2022)
Journal Article
McCarthy, A., Ghadafi, E., Andriotis, P., & Legg, P. (2023). Defending against adversarial machine learning attacks using hierarchical learning: A case study on network traffic attack classification. Journal of Information Security and Applications, 72, Article 103398. https://doi.org/10.1016/j.jisa.2022.103398

Machine learning is key for automated detection of malicious network activity to ensure that computer networks and organizations are protected against cyber security attacks. Recently, there has been growing interest in the domain of adversarial mach... Read More about Defending against adversarial machine learning attacks using hierarchical learning: A case study on network traffic attack classification.

Reducing false negatives in ransomware detection: A critical evaluation of machine learning algorithms (2022)
Journal Article
Bold, R., Al-Khateeb, H., & Ersotelos, N. (2022). Reducing false negatives in ransomware detection: A critical evaluation of machine learning algorithms. Applied Sciences, 12(24), Article 12941. https://doi.org/10.3390/app122412941

Technological achievement and cybercriminal methodology are two parallel growing paths; protocols such as Tor and i2p (designed to offer confidentiality and anonymity) are being utilised to run ransomware companies operating under a Ransomware as a S... Read More about Reducing false negatives in ransomware detection: A critical evaluation of machine learning algorithms.

Electrical potential spiking of Kombucha zoogleal mats: A symbiotic community of bacteria and yeasts (2022)
Journal Article
Adamatzky, A. (2023). Electrical potential spiking of Kombucha zoogleal mats: A symbiotic community of bacteria and yeasts. Bioelectricity, 5(2), 99-108. https://doi.org/10.1089/bioe.2022.0030

Background: A kombucha is a sugared tea fermented by a symbiotic community of over 20 species of bacteria and yeasts. The community produces and inhabits cellulosic gelatinous zoogleal mats. Methods: We studied electrical activity of the kombucha mat... Read More about Electrical potential spiking of Kombucha zoogleal mats: A symbiotic community of bacteria and yeasts.

Solvability of superlinear fractional parabolic equations (2022)
Journal Article
Fujishima, Y., Hisa, K., Ishige, K., & Laister, R. (2023). Solvability of superlinear fractional parabolic equations. Journal of Evolution Equations, 23(1), 4. https://doi.org/10.1007/s00028-022-00853-z

We study necessary conditions and sufficient conditions for the existence of local-in-time solutions of the Cauchy problem for superlinear fractional parabolic equations. Our conditions are sharp and clarify the relationship between the solvability o... Read More about Solvability of superlinear fractional parabolic equations.

Understanding colourism in the UK: Development and assessment of the everyday colourism scale (2022)
Journal Article
Craddock, N., Phoenix, A., White, P., Gentili, C., Diedrichs, P. C., & Barlow, F. (in press). Understanding colourism in the UK: Development and assessment of the everyday colourism scale. Ethnic and Racial Studies, 1-36. https://doi.org/10.1080/01419870.2022.2149275

This paper details the development and psychometric validation of the Everyday Colourism Scale (ECS), a measure designed to capture perceived skin shade prejudice from the ingroup (ethnic peers) and the outgroup (White people). The ECS was adapted fr... Read More about Understanding colourism in the UK: Development and assessment of the everyday colourism scale.

Achieving the health and well-being sustainable development goals among adolescent mothers and their children in South Africa: Cross-sectional analyses of a community-based mixed HIV-status cohort (2022)
Journal Article
Toska, E., Saal, W., Chen Charles, J., Wittesaele, C., Langwenya, N., Jochim, J., …Cluver, L. (2022). Achieving the health and well-being sustainable development goals among adolescent mothers and their children in South Africa: Cross-sectional analyses of a community-based mixed HIV-status cohort. PLoS ONE, 17(12), https://doi.org/10.1371/journal.pone.0278163

The Sustainable Development Goals (SDGs) are a visionary and multi-sectoral agenda for human development. With less than a decade left to reach these targets, it is important to identify those at greatest risk of not meeting these ambitious targets.... Read More about Achieving the health and well-being sustainable development goals among adolescent mothers and their children in South Africa: Cross-sectional analyses of a community-based mixed HIV-status cohort.

Cryptanalysis of two recent ultra-lightweight authentication protocols (2022)
Journal Article
Servati, M. R., Safkhani, M., Ali, S., Malik, M. H., Ahmed, O. H., Hosseinzadeh, M., & Mosavi, A. H. (2022). Cryptanalysis of two recent ultra-lightweight authentication protocols. Mathematics, 10(23), 4611. https://doi.org/10.3390/math10234611

Radio Frequency Identification (RFID) technology is a critical part of many Internet of Things (IoT) systems, including Medical IoT (MIoT) for instance. On the other hand, the IoT devices’ numerous limitations (such as memory space, computing capabil... Read More about Cryptanalysis of two recent ultra-lightweight authentication protocols.

Experimental validation of computerised models of clustering of platelet glycoprotein receptors that signal via tandem SH2 domain proteins (2022)
Journal Article
Maqsood, Z., Clark, J. C., Martin, E. M., Cheung, Y. F. H., Morán, L. A., Watson, S. E. T., …Watson, S. P. (2022). Experimental validation of computerised models of clustering of platelet glycoprotein receptors that signal via tandem SH2 domain proteins. PLoS Computational Biology, 18(11), Article e1010708. https://doi.org/10.1371/journal.pcbi.1010708

The clustering of platelet glycoprotein receptors with cytosolic YxxL and YxxM motifs, including GPVI, CLEC-2 and PEAR1, triggers activation via phosphorylation of the conserved tyrosine residues and recruitment of the tandem SH2 (Src homology 2) dom... Read More about Experimental validation of computerised models of clustering of platelet glycoprotein receptors that signal via tandem SH2 domain proteins.

BRIVEST: A ‘real-world’ observational, single-centre study investigating the efficacy, safety and tolerability of Brivaracetam (2022)
Journal Article
Naddell, S., Manuel, M., Cavill, R., White, P., & Sieradzan, K. (2023). BRIVEST: A ‘real-world’ observational, single-centre study investigating the efficacy, safety and tolerability of Brivaracetam. Epilepsy and Behavior, 138, 108985. https://doi.org/10.1016/j.yebeh.2022.108985

Objective: Via measures of efficacy, tolerability, and safety, this open-label, single-center study assessed the overall effectiveness of Brivaracetam (BRV) for the treatment of epilepsy in the context of ‘real-world’ clinical practice. Methods: Unse... Read More about BRIVEST: A ‘real-world’ observational, single-centre study investigating the efficacy, safety and tolerability of Brivaracetam.

Logics in fungal Mycelium networks (2022)
Journal Article
Adamatzky, A., Ayres, P., Beasley, A. E., Roberts, N., & Wösten, H. A. B. (2022). Logics in fungal Mycelium networks. Logica Universalis, 16(4), 655-669. https://doi.org/10.1007/s11787-022-00318-4

The living mycelium networks are capable of efficient sensorial fusion over very large areas and distributed decision making. The information processing in the mycelium networks is implemented via propagation of electrical and chemical signals en pai... Read More about Logics in fungal Mycelium networks.

Protocol-specific and sensor network-inherited attack detection in IoT using machine learning (2022)
Journal Article
Zahra, F., Jhanjhi, N. Z., Khan, N. A., Brohi, S. N., Masud, M., & Aljahdali, S. (2022). Protocol-specific and sensor network-inherited attack detection in IoT using machine learning. Applied Sciences, 12(22), https://doi.org/10.3390/app122211598

For networks with limited resources, such as IoT-enabled smart homes, smart industrial equipment, and urban infrastructures, the Routing Protocol for Low-power and Lossy Networks (RPL) was developed. Additionally, a number of optimizations have been... Read More about Protocol-specific and sensor network-inherited attack detection in IoT using machine learning.

Electrical frequency discrimination by fungi Pleurotus ostreatus (2022)
Journal Article
Przyczyna, D., Szacilowski, K., Chiolerio, A., & Adamatzky, A. (2022). Electrical frequency discrimination by fungi Pleurotus ostreatus. BioSystems, 222, 104797. https://doi.org/10.1016/j.biosystems.2022.104797

We stimulate mycelian networks of oyster fungi Pleurotus ostreatus with low frequency sinusoidal electrical signals. We demonstrate that the fungal networks can discriminate between frequencies in a fuzzy or threshold based manner. Details about the... Read More about Electrical frequency discrimination by fungi Pleurotus ostreatus.

Development of a lightweight centralized authentication mechanism for the internet of things driven by fog (2022)
Journal Article
Lansky, J., Sadrishojaei, M., Rahmani, A. M., Malik, M. H., Kazemian, F., & Hosseinzadeh, M. (2022). Development of a lightweight centralized authentication mechanism for the internet of things driven by fog. Mathematics, 10(22), 4166. https://doi.org/10.3390/math10224166

The rapid development of technology has made the Internet of Things an integral element of modern society. Modern Internet of Things’ implementations often use Fog computing, an offshoot of the Cloud computing that offers localized processing power a... Read More about Development of a lightweight centralized authentication mechanism for the internet of things driven by fog.

Joint communication, computation, and control for computational task offloading in vehicle-assisted multi-access edge computing (2022)
Journal Article
Dang, T. N., Manzoor, A., Tun, Y. K., Kazmi, S. M. A., Haw, R., Hong, S. H., …Hong, C. S. (2022). Joint communication, computation, and control for computational task offloading in vehicle-assisted multi-access edge computing. IEEE Access, 10, 122513-122529. https://doi.org/10.1109/ACCESS.2022.3220251

Future generation of Electric Vehicles (EVs) equipped with modern technologies will impose a significant burden on computation and communication to the network due to the vast extension of onboard infotainment services. To overcome this challenge, mu... Read More about Joint communication, computation, and control for computational task offloading in vehicle-assisted multi-access edge computing.

“It’s important to think of Pepper as a teaching aid or resource external to the classroom”: A social robot in a school for autistic children (2022)
Journal Article
Lemaignan, S., Newbutt, N., Rice, L., & Daly, J. (in press). “It’s important to think of Pepper as a teaching aid or resource external to the classroom”: A social robot in a school for autistic children. International Journal of Social Robotics, https://doi.org/10.1007/s12369-022-00928-4

For a period of 3 weeks in June 2021, we embedded a social robot (Softbank Pepper) in a Special Educational Needs (SEN) school for autistic children. The robot’s behaviours and integration into the school were co-designed with the children and teache... Read More about “It’s important to think of Pepper as a teaching aid or resource external to the classroom”: A social robot in a school for autistic children.

A generalised dropout mechanism for distributed systems (2022)
Journal Article
Bull, L., & Liu, H. (2023). A generalised dropout mechanism for distributed systems. Artificial Life, 29(2), 146-152. https://doi.org/10.1162/artl_a_00393

This letter uses a modified form of the NK model introduced to explore aspects of distributed control. In particular, a previous result suggesting the use of dynamically formed subgroups within the overall system can be more effective than global con... Read More about A generalised dropout mechanism for distributed systems.

Multiple adversarial domains adaptation approach for mitigating adversarial attacks effects (2022)
Journal Article
Rasheed, B., Khan, A., Ahmad, M., Mazzara, M., & Kazmi, S. M. (2022). Multiple adversarial domains adaptation approach for mitigating adversarial attacks effects. International Transactions on Electrical Energy Systems, 2022, 1-11. https://doi.org/10.1155/2022/2890761

Although neural networks are near achieving performance similar to humans in many tasks, they are susceptible to adversarial attacks in the form of a small, intentionally designed perturbation, which could lead to misclassifications. The best defense... Read More about Multiple adversarial domains adaptation approach for mitigating adversarial attacks effects.