Outputs (465)

Chondroitin sulfate and proteinoids in neuron models (2025)
Journal Article

This study examines the relationship between chondroitin sulfate, proteinoids, and computational neuron models, with a specific emphasis on the Izhikevich neuron model. We investigate the effect of chondroitin sulfate-proteinoid complexes on the beha... Read More about Chondroitin sulfate and proteinoids in neuron models.

Domain-specific implications of error-type metrics in risk-based software fault prediction (2025)
Journal Article

In software development, Software Fault Prediction (SFP) is essential for optimising resource allocation and improving testing efficiency. Traditional SFP methods typically use binary-class models, which can provide a limited perspective on the varyi... Read More about Domain-specific implications of error-type metrics in risk-based software fault prediction.

Integrating multi-omics data with deep learning for predictive modelling of autoimmune and neurodegenerative diseases (2025)
Presentation / Conference Contribution

In precision medicine, predicting the onset and progression of autoimmune and neurodegenerative diseases poses a multifaceted challenge due to their intricate molecular complexities. Traditional diagnostic methods, while foundational, often fall shor... Read More about Integrating multi-omics data with deep learning for predictive modelling of autoimmune and neurodegenerative diseases.

Simulated autopoiesis in liquid automata (2024)
Journal Article

We present a novel form of Liquid Automata, using this to simulate autopoiesis, whereby living machines self-organise in the physical realm. This simulation is based on an earlier Cellular Automaton described by Francisco Varela. The basis of Liquid... Read More about Simulated autopoiesis in liquid automata.

Enhanced heart sound classification using Mel frequency cepstral coefficients and comparative analysis of single vs. ensemble classifier strategies (2024)
Journal Article

This paper seeks to enhance the performance of Mel Frequency Cepstral Coefficients (MFCCs) for detecting abnormal heart sounds. Heart sounds are first pre-processed to remove noise and then segmented into S1, systole, S2, and diastole intervals, with... Read More about Enhanced heart sound classification using Mel frequency cepstral coefficients and comparative analysis of single vs. ensemble classifier strategies.

Enhancing DDoS attack detection in software-defined networks with entropy-based techniques (2024)
Journal Article

The introduction of Software-Defined Networks (SDN) represents significant advancements in network design by separating control and forwarding planes. While SDN improves network administration productivity, it has many vulnerabilities which hackers c... Read More about Enhancing DDoS attack detection in software-defined networks with entropy-based techniques.

Advances in Teaching and Learning for Cyber Security Education (2024)
Book

This book showcases latest trends and innovations for how we teach and approach cyber security education. Cyber security underpins the technological advances of the 21st century and is a fundamental requirement in today’s society. Therefore, how we t... Read More about Advances in Teaching and Learning for Cyber Security Education.

Privacy based triage of suspicious activity reports using offline large language models (2024)
Book Chapter

Suspicious Activity Reports (SAR) form a vital part of incident response and case management for the investigation of known or suspected money laundering. However, those submitting SARs, and those tasked with analysing SARs, often find the task overw... Read More about Privacy based triage of suspicious activity reports using offline large language models.

Stress reactivity moderates the association between stressful life events and depressive symptoms in adolescents: Results from a population-based study (2024)
Journal Article

A large body of evidence links stressful life events with depression. However, little is understood about the role of perceived impact in this association. We performed regression analysis to investigate whether self-reported stress reactivity (deriv... Read More about Stress reactivity moderates the association between stressful life events and depressive symptoms in adolescents: Results from a population-based study.

Cyber security unplugged: Teaching security management through immersive gameplay (2024)
Presentation / Conference Contribution

Cyber security education and the online safety of young people is key on the government agenda. A variety of initiatives are designed to raise awareness about the threats and safeguards related to children and their use of technology. Furthermore, cy... Read More about Cyber security unplugged: Teaching security management through immersive gameplay.