All Outputs (463)

Meta-verse assisted healthcare body sensor network architecture (2024)
Presentation / Conference Contribution

These days, the usage of body area network enabled healthcare services has been increasing widely in practice. The objective is to monitor healthcare in real time from different remote services. However, the existing body area network architecture fo... Read More about Meta-verse assisted healthcare body sensor network architecture.

Quantum blockchain: Trends, technologies, and future directions (2024)
Journal Article

AbstractBlockchain technology is a highly developed database system that shares information within a business web. It stores details in blocks connected chronologically, ensuring information integrity through consensus mechanisms that prevent unautho... Read More about Quantum blockchain: Trends, technologies, and future directions.

Living electronics in cellulose zoogleal mats (2024)
Journal Article

The review starts by investigating the concepts that underpin the use of kombucha in electronic systems, such as its conducting properties, self-healing properties, and capacity to form long-lasting biofilms. The research explores the diverse uses of... Read More about Living electronics in cellulose zoogleal mats.

Re-routing game: The inadequacy of mean-field approach in modeling the herd behavior in path switching (2024)
Journal Article

Coordination of vehicle routes is a feasible way to ease traffic congestion issues amid a fixed road infrastructure. Nevertheless, even when optimal route configurations are provided to individual drivers, it is hard to achieve due to the fact that g... Read More about Re-routing game: The inadequacy of mean-field approach in modeling the herd behavior in path switching.

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.

We have all been on a journey (2024)
Digital Artefact

Album of 6 works, made using synthesis, field recording and generative techniques.

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.