All Outputs (463)

ARUC-GAN: A CycleGAN-based attention residual U-Net for low-dose CT denoising in smart healthcare (2025)
Journal Article

Low-dose computed tomography (LDCT) is increasingly adopted in medical imaging to minimize radiation exposure. However, the diagnostic accuracy is primarily affected by different noise sources, e.g., quantum, electronic, and reconstruction. Moreover,... Read More about ARUC-GAN: A CycleGAN-based attention residual U-Net for low-dose CT denoising in smart healthcare.

Leveraging activation and optimisation layers as dynamic strategies in the multi-task fuzzing scheme (2025)
Journal Article

Fuzzing is a common technique for identifying vulnerabilities in software. Recent approaches, like She et al.’s Multi-Task Fuzzing (MTFuzz), use neural networks to improve fuzzing efficiency. However, key elements like network architecture and hyperp... Read More about Leveraging activation and optimisation layers as dynamic strategies in the multi-task fuzzing scheme.

Thermal colloid programming (2025)
Journal Article

This paper investigates the computational capabilities of colloidal systems, focusing on the integration of Boolean logic operations within gold nanoparticle suspensions under varying temperature conditions. As climate change, artificial intelligence... Read More about Thermal colloid programming.

An explainable ensemble-based intrusion detection system for software-defined vehicle ad-hoc networks (2025)
Journal Article

Intrusion Detection Systems (IDS) are widely employed to detect and mitigate external network security events. Vehicle ad-hoc Networks (VANETs) continue to evolve, especially with developments related to Connected Autonomous Vehicles (CAVs). In this... Read More about An explainable ensemble-based intrusion detection system for software-defined vehicle ad-hoc networks.

Liquid ferrofluid synapses for spike-based neuromorphic learning (2025)
Journal Article

Solid-state memory devices have emerged as promising synapses for neuromorphic engineering and computing. However, features such as limited endurance, static sensitivity, and lower ON/OFF ratios, as well as the need for peculiar conditions including... Read More about Liquid ferrofluid synapses for spike-based neuromorphic learning.

Federated learning in IoT environments: Examining the three-way see-saw for privacy, model-performance, and network-efficiency (2025)
Journal Article

This survey paper provides an in-depth exploration of Federated Learning (FL) in Internet of Things (IoT) environments , focusing on privacy-preserving techniques and their influence on model performance and network efficiency. It highlights key chal... Read More about Federated learning in IoT environments: Examining the three-way see-saw for privacy, model-performance, and network-efficiency.

An integrated approach to mitigate poisoning attacks in federated learning frameworks (2025)
Presentation / Conference Contribution

While Federated learning (FL) is considered privacy-preserving by nature, it remains vulnerable to many attacks, such as data and model poisoning, that compromise data integrity and model accuracy. Conventional privacy-preserving federated learning (... Read More about An integrated approach to mitigate poisoning attacks in federated learning frameworks.

Enhancing public participation in urban planning: The role of VR, HBIM, and gamification (2025)
Presentation / Conference Contribution

The study demonstrates a novel method of urban planning through a col-laborative digital platform that promotes engagement and interaction among people, technicians, and administrators. Utilizing the suggested digital plat-form, the citizen acts as a... Read More about Enhancing public participation in urban planning: The role of VR, HBIM, and gamification.

A machine learning-based intrusion detection algorithm for securing bioinformatics pipelines (2025)
Presentation / Conference Contribution

Bioinformatics pipelines, which process vast amounts of sensitive biological data, are increasingly targeted by cyberattacks. Traditional security measures often fail to provide adequate protection due to the unique computational and network characte... Read More about A machine learning-based intrusion detection algorithm for securing bioinformatics pipelines.

Ethical implications of WannaCry: A cybersecurity dilemma (2025)
Presentation / Conference Contribution

The WannaCry ransomware attack of May 2017 marked a critical turning point in cybersecurity history, prompting profound ethical discussions about software vulnerability management. This comprehensive analysis examines the ethical dimensions of the Wa... Read More about Ethical implications of WannaCry: A cybersecurity dilemma.

The evolution of phishing and future directions: A review (2025)
Presentation / Conference Contribution

Phishing has emerged as one of the most persistent and evolving threats in cybersecurity. Its development from simple email scams to highly sophisticated and targeted attacks has been driven by technological advancements, the rise of social media, an... Read More about The evolution of phishing and future directions: A review.

Defining the recommended gray zone in MGMT promoter methylation pyrosequencing reporting: A robust translatable method to implement new EANO guidelines (2025)
Journal Article

Background
The DNA repair protein O6-methylguanine-DNA methyltransferase (MGMT) may cause resistance of tumour cells to alkylating agents, and is a predictive biomarker in high-grade gliomas treated with temozolomide. Recent EANO guidelines recommen... Read More about Defining the recommended gray zone in MGMT promoter methylation pyrosequencing reporting: A robust translatable method to implement new EANO guidelines.

Post-apocalyptic computing and technology towards computing from natural colloids and micro-fragments (2025)
Book Chapter

Having established a solid software and hardware protocol to perform microwave impedance spectroscopy of substances in the liquid state, we discuss some numerical and practical aspects of the key figures related to this technique, and highlight the p... Read More about Post-apocalyptic computing and technology towards computing from natural colloids and micro-fragments.

Inter-rater reliability of stress signatures in exfoliated primary dentition - Improving scientific rigor and reproducibility in histological data collection (2025)
Journal Article

Accentuated Lines (ALs) in tooth enamel can reflect metabolic disruptions from physiological or psychological stresses during development. They can therefore serve as a retrospective biomarker of generalized stress exposure in archaeological and clin... Read More about Inter-rater reliability of stress signatures in exfoliated primary dentition - Improving scientific rigor and reproducibility in histological data collection.

Monitoring environmental factors for optimal health and welfare of broiler chickens using sensor technology in Southwest Nigeria (2025)
Presentation / Conference Contribution

Multiple factors affect the health and welfare of broiler chickens under the deep litter system. These factors include daily variations in temperature, humidity, noxious gases (such as ammonia, hydrogen sulphide, and nitrous oxide), particulate matte... Read More about Monitoring environmental factors for optimal health and welfare of broiler chickens using sensor technology in Southwest Nigeria.

Ring of Animals (2025)
Exhibition / Performance

A new 6 channel iteration of my collaboration with Young In Hong shown as part of Lining Revealed – A Journey Through Folk Wisdom and Contemporary Vision at CHAT, Hong Kong.

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I was asked by Young In Hong to collaborate on this work by develo... Read More about Ring of Animals.

Empirical research on green jobs: A review and reflection with practitioners (2025)
Journal Article

Green jobs is a priority area in advancing socio-economic transitions to enhance an environmentally sustainable economy, particularly in democracies. This paper firstly provides a review of different focuses of empirical research on green jobs and th... Read More about Empirical research on green jobs: A review and reflection with practitioners.

Time series forecasting for air quality with structured and unstructured data using artificial neural networks (2025)
Journal Article

Various machine learning algorithms exist to predict air quality, but they can only analyse structured data gathered from monitoring stations. However, the concentration of certain pollutants, such as PM2.5 and PM10, can be visually significant when... Read More about Time series forecasting for air quality with structured and unstructured data using artificial neural networks.

AI under attack: Metric-driven analysis of cybersecurity threats in deep learning models for healthcare applications (2025)
Journal Article

Incorporating Artificial Intelligence (AI) in healthcare has transformed disease diagnosis and treatment by offering unprecedented benefits. However, it has also revealed critical cybersecurity vulnerabilities in Deep Learning (DL) models, which rais... Read More about AI under attack: Metric-driven analysis of cybersecurity threats in deep learning models for healthcare applications.

Exploring filter placement in convolutional layer topologies based on ResNet for image classification (2025)
Journal Article

In this paper we investigate the impact that altering the convolutional layer topology has upon the performance of computer vision tasks using a variety of widely used benchmark image datasets. Despite the widespread convention in convolutional neura... Read More about Exploring filter placement in convolutional layer topologies based on ResNet for image classification.