Outputs (25)

Artificial intelligence for occupational health and safety management in construction (2023)
Book Chapter

Reducing occupational safety and health (OSH) incidents has been an area of significant importance to the construction industry. The industry remains one of the most dangerous, with significant occupational fatalities and injuries. Artificial intelli... Read More about Artificial intelligence for occupational health and safety management in construction.

Scope and arbitration in machine learning clinical EEG classification (2023)
Presentation / Conference Contribution

A key task in clinical EEG interpretation is to classify a recording or session as normal or abnormal. In machine learning approaches to this task, recordings are typically divided into shorter windows for practical reasons, and these windows inherit... Read More about Scope and arbitration in machine learning clinical EEG classification.

Machine learning models in trusted research environments - Understanding operational risks (2023)
Journal Article

IntroductionTrusted research environments (TREs) provide secure access to very sensitive data for research. All TREs operate manual checks on outputs to ensure there is no residual disclosure risk. Machine learning (ML) models require very large amou... Read More about Machine learning models in trusted research environments - Understanding operational risks.

Vision detection for early signs of DD lesions and lameness within dairy cattle (2023)
Presentation / Conference Contribution

Digital dermatitis stands as a primary cause of lameness in dairy cows, significantly impacting various facets of productivity. This paper proposes a two-stage vision system aimed at early detection of digital dermatitis (DD) lesions, ultimately prev... Read More about Vision detection for early signs of DD lesions and lameness within dairy cattle.

Regulating armed drone swarms under international law (2023)
Presentation / Conference Contribution

One of the most controversial military systems currently under development today are autonomous weapons systems (AWS). Indeed, many states are urging the United Nations to prohibit AWS by way of a specific treaty. The term AWS is, nevertheless, somew... Read More about Regulating armed drone swarms under international law.

Predicting social trust from implicit feedback (2023)
Presentation / Conference Contribution

Element of trust exists in every network structure of diverse fields, but suitable computational methods for evaluating the trust remain a problem since there are different definitions of trust in diverse fields where several entities interact with e... Read More about Predicting social trust from implicit feedback.

Non-contact characterisation of piezoelectric materials (2023)
Presentation / Conference Contribution

Piezoelectric materials play a key role in various technological applications owing to their unique elastic-piezoelectric-dielectric (EPD) properties, often represented in matrix form. Traditional methods for obtaining these properties, as defined by... Read More about Non-contact characterisation of piezoelectric materials.

Multiple innovations in characterizing piezoelectric materials (2023)
Presentation / Conference Contribution

Characterisation of piezoelectric materials is a key part. The IEEE standard is the only approach that can produce a full elastopiezodielectric matrix. However, it requires multiple samples. This often involves difficulties preparing the samples for... Read More about Multiple innovations in characterizing piezoelectric materials.

Multi-agent learning of asset maintenance plans through localised subnetworks (2023)
Journal Article

Maintenance planning of networked multi-asset systems is a complex problem due to the inherent individual and collective asset constraints and dynamics as well as the size of the system and interdependencies among assets. Although multi-asset systems... Read More about Multi-agent learning of asset maintenance plans through localised subnetworks.

Achieving goals using reward shaping and curriculum learning (2023)
Presentation / Conference Contribution

Real-time control for robotics is a popular research area in the reinforcement learning community. Through the use of techniques such as reward shaping, researchers have managed to train online agents across a multitude of domains. Despite these adva... Read More about Achieving goals using reward shaping and curriculum learning.

An internet of things enabled system for real-time monitoring and predictive maintenance of railway infrastructure (2023)
Thesis

The railway industry plays a pivotal role in the socioeconomic landscape of many countries. However, its operation poses considerable challenges in terms of safety, environmental impact, and the intricacies of intertwined technical and social structu... Read More about An internet of things enabled system for real-time monitoring and predictive maintenance of railway infrastructure.

Applying artificial intelligence in healthcare: lessons from the COVID-19 pandemic (2023)
Journal Article

The COVID-19 pandemic exposed vulnerabilities in global healthcare systems and highlighted the need for innovative, technology-driven solutions like Artificial Intelligence (AI). However, previous research on the topic has been limited and fragmented... Read More about Applying artificial intelligence in healthcare: lessons from the COVID-19 pandemic.

SACRO: Semi-Automated Checking Of Research Outputs (2023)
Presentation / Conference Contribution

Output checking can require significant resources, acting as a barrier to scaling up the research use of confidential data. We report on a project, SACRO, that is developing a general-purpose, semi-automatic output checking systems that works across... Read More about SACRO: Semi-Automated Checking Of Research Outputs.

A method to enable automatic extraction of cost and quantity data from hierarchical construction information documents to enable rapid digital comparison and analysis (2023)
Journal Article

Context: Despite the effort put into developing standards for structuring construction costs and the strong interest in the field, most construction companies still perform the process of data gathering and processing manually. This provokes inconsis... Read More about A method to enable automatic extraction of cost and quantity data from hierarchical construction information documents to enable rapid digital comparison and analysis.

Child safeguarding and immersive technologies - An outline of the risks (2023)
Report

Given the rapid growth of new technologies, including immersive environments, the current generation of extended reality products – Virtual Reality (VR) and Augmented Reality (AR) – and the clear shift towards the development of the metaverse, resear... Read More about Child safeguarding and immersive technologies - An outline of the risks.

Deep learning-based multi-target regression for traffic-related air pollution forecasting (2023)
Journal Article

Traffic-related air pollution (TRAP) remains one of the main contributors to urban pollution and its impact on climate change cannot be overemphasised. Experts in developed countries strive to make optimal use of traffic and air qua... Read More about Deep learning-based multi-target regression for traffic-related air pollution forecasting.

Near neighbours: Artificial intelligence and anti-racism as an activating pursuit in archival moving image practice (2023)
Presentation / Conference Contribution

Artificial intelligence (AI) is increasingly being utilized in various fields including the film industry and archives. The use of AI as a film analysis tool has the potential to develop the way we understand and critique cinema. AI systems can be tr... Read More about Near neighbours: Artificial intelligence and anti-racism as an activating pursuit in archival moving image practice.

Artificial life as controlled disequilibrium (2023)
Presentation / Conference Contribution

Artificial Life can be modeled using simulated au-topoiesis. Liquid Automata are used to define simulated chemical reaction systems; particle systems with rules governing how particles are transformed on collision with each other. Unlike cellular aut... Read More about Artificial life as controlled disequilibrium.

Blurred lines (2023)
Journal Article

In the age of rapid advancements in Generative Artificial Intelligence and machine learning, the creative landscape is witnessing a profound transformation. In this context, this article by Ben Goodman (under the pseudonym 'I Am Not A Robot') explore... Read More about Blurred lines.

Values, emotions and beliefs within generative AI arts practice patterns in practice: Values, beliefs and emotions within arts practitioners' engagements with machine learning and data mining (2023)
Presentation / Conference Contribution

Patterns in Practice (PIP) is a qualitative study investigating how practitioners' beliefs, values and emotions shape their interaction and engagement with the use of machine learning (ML) and data mining across three contrasting domains-science, edu... Read More about Values, emotions and beliefs within generative AI arts practice patterns in practice: Values, beliefs and emotions within arts practitioners' engagements with machine learning and data mining.