All Outputs (457)

Editorial: Improving autism spectrum disorder diagnosis using machine learning techniques (2024)
Journal Article

Autism Spectrum Disorder (ASD) is a complex neurodevelopmental condition characterized by challenges in social communication, repetitive behaviors, and restricted interests (American Psychiatric Association, 2013). Early and accurate diagnosis is cri... Read More about Editorial: Improving autism spectrum disorder diagnosis using machine learning techniques.

Control of biohybrid actuators using neuroevolution (2024)
Presentation / Conference Contribution

In medical-related tasks, soft robots can perform better than conventional robots because of their compliant building materials and the movements they are able perform. However, designing soft robot controllers is not an easy task, due to the non-lin... Read More about Control of biohybrid actuators using neuroevolution.

On emergence of spontaneous oscillations in kombucha and proteinoids (2024)
Journal Article

An important part of studying living systems is figuring out the complicated steps that lead to order from chaos. Spontaneous oscillations are a key part of self-organisation in many biological and chemical networks, including kombucha and proteinoid... Read More about On emergence of spontaneous oscillations in kombucha and proteinoids.

Modulation of electrical activity of proteinoid microspheres with chondroitin sulfate clusters (2024)
Journal Article

Proteinoids—thermal proteins—are produced by heating amino acids to their melting point and initiation of polymerisation to produce polymeric chains. Proteinoids swell in aqueous solution into hollow microspheres. The proteinoid microspheres produce... Read More about Modulation of electrical activity of proteinoid microspheres with chondroitin sulfate clusters.

DNA methylation mediates the link between adversity and depressive symptoms (2024)
Journal Article

Experiences of childhood adversity can double risk for depression. Although the mechanisms underlying this relationship remain unclear, DNA methylation (DNAm) has emerged as a potential pathway to explain the link between adversity and depression. Th... Read More about DNA methylation mediates the link between adversity and depressive symptoms.

Privacy-enhanced sentiment analysis in mental health: Federated learning with data obfuscation and bidirectional encoder representations from transformers (2024)
Journal Article

This research aims to find an optimal balance between privacy and performance in forecasting mental health sentiment. This paper investigates federated learning (FL) augmented with a novel data obfuscation (DO) technique, where synthetic data is used... Read More about Privacy-enhanced sentiment analysis in mental health: Federated learning with data obfuscation and bidirectional encoder representations from transformers.

LLM-guided instance-level image manipulation with diffusion u-net cross-attention maps (2024)
Presentation / Conference Contribution

The advancement of text-to-image synthesis has introduced powerful generative models capable of creating realistic images from textual prompts. However, precise control over image attributes remains challenging, especially at the instance level. Whil... Read More about LLM-guided instance-level image manipulation with diffusion u-net cross-attention maps.

Does intermittent nutrition enterally normalise hormonal and metabolic responses to feeding in critically ill adults? A protocol for the dine-normal proof-of-concept randomised parallel group study (2024)
Journal Article

Introduction
Over half of patients who spend >48 hours in the intensive care unit (ICU) are fed via a nasogastric (NG) tube. Current guidance recommends continuous delivery of feed throughout the day and night. Emerging evidence from healthy human s... Read More about Does intermittent nutrition enterally normalise hormonal and metabolic responses to feeding in critically ill adults? A protocol for the dine-normal proof-of-concept randomised parallel group study.

A review of large language models in healthcare: Taxonomy, threats, vulnerabilities, and framework (2024)
Journal Article

Due to the widespread acceptance of ChatGPT, implementing large language models (LLMs) in real-world applications has become an important research area. Such productisation of technologies allows the public to use AI without technical knowledge. LLMs... Read More about A review of large language models in healthcare: Taxonomy, threats, vulnerabilities, and framework.

Modelling generalised symmetry in neural networks (2024)
Presentation / Conference Contribution

Responding to the relationships between stimuli (i.e., relational responding) plays a central role in human intelligence (Colbert, 2017, Cassidy, 2016). Decades of psychological research have shown how relational responding behaviour is first learned... Read More about Modelling generalised symmetry in neural networks.

Neurons as autoencoders (2024)
Journal Article

This letter presents the idea that neural backpropagation is exploiting dendritic processing to enable individual neurons to perform autoencoding. Using a very simple connection weight search heuristic and artificial neural network model, the effects... Read More about Neurons as autoencoders.

Brain tumor diagnosis through transfer learning with CNNs: A comparative evaluation of Xception, InceptionV3, MobileNetV2, ResNet50, VGG19 and VGG16 models on MRI images (2024)
Presentation / Conference Contribution

Early and accurate detection of brain tumors is critical to improving treatment outcomes for affected individuals. Among diagnostic modalities, magnetic resonance imaging (MRI) has emerged as a potent tool for detecting brain tumors. Nevertheless, ma... Read More about Brain tumor diagnosis through transfer learning with CNNs: A comparative evaluation of Xception, InceptionV3, MobileNetV2, ResNet50, VGG19 and VGG16 models on MRI images.

When Seeds Speak (2024)
Digital Artefact

When Seeds Speak is a collaborative project with artist Miranda Whall that explores creative potentials within a dataset derived from the metabolic fingerprint analysis of six black oat seeds. The project seeks to uncover the processes and history ar... Read More about When Seeds Speak.

KLANG: Live and expressive C++ for audio [ADC24 Workshop] (2024)
Presentation / Conference Contribution

This workshop provides a practical introduction to two technologies developed to support C++ audio development: klang, a C++ dialect (language extension) that adds audio DSP semantics to modern C++, and rapIDE (rapid audio prototyping IDE), a complet... Read More about KLANG: Live and expressive C++ for audio [ADC24 Workshop].

Enhanced thermoelectric performance of p-type BiSbTe through incorporation of magnetic CrSb (2024)
Journal Article

There is evidence that magnetism can potentially increase the thermopower of materials , most likely due to magnon scattering, suggesting the incorporation of intrinsic magnetic semiconductors in non-magnetic thermoelectric materials. Here, samples o... Read More about Enhanced thermoelectric performance of p-type BiSbTe through incorporation of magnetic CrSb.

ONDL: An optimized Neutrosophic Deep Learning model for classifying waste for sustainability (2024)
Journal Article

Sustainability has become a key factor on our planet. If this concept is applied correctly, our planet will be greener and more eco-friendly. Nowadays, waste classification and management practices have become more evident than ever. It plays a cruci... Read More about ONDL: An optimized Neutrosophic Deep Learning model for classifying waste for sustainability.

Proteinoids–polyaniline interaction with stimulated neurons on living and plastic surfaces (2024)
Journal Article

The integration of proteinoid-polyaniline (PANI) nanofibers with neuromorphic architectures shows potential for developing computer systems that are adaptable, energy-efficient, and have the capacity of tolerating faults. This work examines the capac... Read More about Proteinoids–polyaniline interaction with stimulated neurons on living and plastic surfaces.

Cutting-edge intrusion detection in IoT networks: A focus on ensemble models (2024)
Journal Article

As the Internet of Things (IoT) landscape rapidly evolves, robust network security measures are imperative. In particular, Intrusion Detection Systems play a very important role in the preservation of an IoT environment from malicious activities. Thi... Read More about Cutting-edge intrusion detection in IoT networks: A focus on ensemble models.

In between: Ghostly control through slowness and the relational (2024)
Presentation / Conference Contribution

This presentation is about space and sustainability, exploring Massey’s theory of space and how it can enform musical interface design. In particular, how something can be imagined from the old and remade anew.

Academic reading: Fear and trembling or being and belonging? (2024)
Presentation / Conference Contribution

Context: a two-year project focusing on reading, most of which involved embedding collaborative reading techniques into curricula.
• Literature review on the emotional barriers to engaging with academic reading. These include:
- lack of confidence... Read More about Academic reading: Fear and trembling or being and belonging?.