All Outputs (467)

Ring of animals (2024)
Exhibition / Performance

I was asked by Young In Hong to collaborate on this work by developing a sound accompaniment for her installed work, Ring of Animals (2023). The sound was developed as a generative piece that interspersed sounds based in synthesis and field recording... Read More about Ring of animals.

The Internet of Things (IoT) Is revolutionizing inventory management (2024)
Book Chapter

Every part of the supply chain has been affected by the rise of Industry 4.0 technologies. Many businesses have been trying out this modern technology to see if it can help them make more money. IoT devices make it simple for companies to keep track... Read More about The Internet of Things (IoT) Is revolutionizing inventory management.

A comprehensive exploration of DDoS attacks and cybersecurity imperatives in the digital age (2024)
Book Chapter

This study emphasizes the critical role of cybersecurity in safeguarding digital infrastructure, ensuring passenger safety, and maintaining operational integrity. By highlighting the multifaceted challenges of DDoS attacks, the document advocates for... Read More about A comprehensive exploration of DDoS attacks and cybersecurity imperatives in the digital age.

The inadvertently revealing statistic: A systemic gap in statistical training? (2024)
Journal Article

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

Photographer-guided attributes for underwater image aesthetics (2024)
Journal Article

Automated aesthetic assessment of photographs is an active research area with applications in image editing and retrieval. There are many suggestions on the various factors of importance in making an image ‘good’ or ‘aesthetically pleasing’. However,... Read More about Photographer-guided attributes for underwater image aesthetics.

Advancing DDoS attack detection with hybrid deep learning: integrating convolutional neural networks, PCA, and vision transformers (2024)
Journal Article

Distributed denial of service (DDoS) attacks pose a significant security risk, particularly with the increasing reliance on cloud computing and information technology (IT). These attacks not only allow unauthorized users to access services but also d... Read More about Advancing DDoS attack detection with hybrid deep learning: integrating convolutional neural networks, PCA, and vision transformers.

Use of AI-based drones in smart cities (2024)
Book Chapter

Autonomous drones, known as AI drones, have been working without human intervention. It is doing something like navigation, avoiding obstacles, and taking picture recognition without explicit human direction, thanks to AI technology. It's an advantag... Read More about Use of AI-based drones in smart cities.

Explainable NLP model for predicting patient admissions at emergency department using triage notes (2024)
Presentation / Conference Contribution

Explainable Artificial Intelligence (XAI) has the potential to revolutionize healthcare by providing more transparent, trustworthy, and understandable predictions made by AI models. To this end, the present study aims to develop an explainable NLP mo... Read More about Explainable NLP model for predicting patient admissions at emergency department using triage notes.

On Cooperative Coevolution and Global Crossover (2024)
Journal Article

Cooperative coevolutionary algorithms (CCEAs) divide a given problem in to a number of subproblems and use an evolutionary algorithm to solve each subproblem. This letter is concerned with the scenario under which a single fitness measure exists. By... Read More about On Cooperative Coevolution and Global Crossover.

Pavlovian reflex in colloids (2024)
Journal Article

Liquid computers are devices that utilise the properties of liquid volumes or reactants to represent data and outputs. A recent development in this field is the emergence of colloid computers, which employ electromagnetic interactions among functiona... Read More about Pavlovian reflex in colloids.

Obmaaq: Ontology-based model for automated assessment of short-answer questions (2024)
Presentation / Conference Contribution

Automated scoring of short answers is becoming increasingly important nowadays, as more classes are taking place online due to COVID-19 outbreaks. Over the past 50 years, different techniques have been applied to develop ways of assessing short answe... Read More about Obmaaq: Ontology-based model for automated assessment of short-answer questions.

Electrical properties of proteinoids for unconventional computing architectures (2023)
Presentation / Conference Contribution

Proteinoids are peptide-like molecules that arise from the combination of amino acids in pre-biotic environments. Recent studies have revealed distinctive electrical characteristics of proteinoids, such as the presence of voltage-gated ion channels,... Read More about Electrical properties of proteinoids for unconventional computing architectures.

An assessment of Wi-Fi 5 and 6 and its effects on location tracking (2023)
Presentation / Conference Contribution

Location tracking is a privacy attack within the Wi-Fi protocol that recently gained the attention of researchers. Wi-Fi-enabled devices, such as smartphones and watches, constantly broadcast probe requests to connect to an Access Point. These reques... Read More about An assessment of Wi-Fi 5 and 6 and its effects on location tracking.

Evaluation of machine learning and deep learning-based intrusion detection systems in in-vehicle networks (2023)
Presentation / Conference Contribution

With the growing complexity and connectivity of Intelligent Connected Vehicles (ICVs), In-vehicle communication plays an important role in today's driving environment. The Controller Area Network (CAN) is the most used protocol in an in-vehicle netwo... Read More about Evaluation of machine learning and deep learning-based intrusion detection systems in in-vehicle networks.

An improved convolutional neural network for churn analysis (2023)
Journal Article

The significance of customer churn analysis has escalated due to the increasing availability of relevant data and intensifying competition. Researchers and practitioners are focused on enhancing prediction accuracy in modeling approaches, with deep n... Read More about An improved convolutional neural network for churn analysis.

Image enhancement approach for the underwater images using the optimized color balancing model (2023)
Journal Article

Marine resources are one of the valuable resources that need to be explored and protected, but are affected due to environmental factors. The underwater images are distorted due to the light scattering and absorption phenomenon, which draws the atten... Read More about Image enhancement approach for the underwater images using the optimized color balancing model.

Heuristic and swarm intelligence algorithms for work-life balance problem (2023)
Journal Article

Employee satisfaction significantly influences the success of business. This emphasises on the importance of employees managing their work, family and personal lives to maintain their physical and mental well-being. This is especially crucial in heal... Read More about Heuristic and swarm intelligence algorithms for work-life balance problem.

A cognitive dissonance body image intervention ‘Free Being Me’ delivered by Guide leaders to adolescent Girl Guides in India: A pilot and acceptability trial (2023)
Journal Article

This pilot study assessed the acceptability and pre-post intervention effects of a cognitive dissonance-based body image intervention, Free Being Me, delivered by Guide leaders to adolescent girls in India. Girls aged 11–14 years (Mage = 12.6, N = 11... Read More about A cognitive dissonance body image intervention ‘Free Being Me’ delivered by Guide leaders to adolescent Girl Guides in India: A pilot and acceptability trial.

Feature-based search space characterisation for data-driven adaptive operator selection (2023)
Journal Article

Combinatorial optimisation problems are known as unpredictable and challenging due to their nature and complexity. One way to reduce the unpredictability of such problems is to identify features and the characteristics that can be utilised to guide t... Read More about Feature-based search space characterisation for data-driven adaptive operator selection.

Crafting inclusive learning: The art of authentic curriculum design (2023)
Presentation / Conference Contribution

This plenary delves into the nuanced approach of developing an inclusive educational framework through authentic curriculum design. It explores the intricate artistry required to cultivate a learning environment that respects and integrates diverse c... Read More about Crafting inclusive learning: The art of authentic curriculum design.