All Outputs (2058)

A novel, scalable social media-based intervention Warna-Warni Waktu to reduce body dissatisfaction among young Indonesian women: Protocol for a parallel randomized controlled trial (2022)
Journal Article

Background: Despite the prevalence of body dissatisfaction among young Indonesian women and its consequential negative impacts, there are currently no evidence-based, culturally appropriate interventions to tackle this issue. Therefore, there is a ne... Read More about A novel, scalable social media-based intervention Warna-Warni Waktu to reduce body dissatisfaction among young Indonesian women: Protocol for a parallel randomized controlled trial.

Insights into the dynamics of ligand-induced dimerisation via mathematical modelling and analysis (2022)
Journal Article

The vascular endothelial growth factor (VEGF) receptor (VEGFR) system plays a role in cancer and many other diseases. It is widely accepted that VEGFR receptors dimerise in response to VEGF binding. However, analysis of these mechanisms and their imp... Read More about Insights into the dynamics of ligand-induced dimerisation via mathematical modelling and analysis.

HyperModels - A framework for GPU accelerated physical modelling sound synthesis (2022)
Presentation / Conference Contribution

Physical modelling sound synthesis methods generate vast and intricate sound spaces that are navigated using meaningful parameters. Numerical based physical modelling nsynthesis methods provide authentic representations of the physics they model. Unf... Read More about HyperModels - A framework for GPU accelerated physical modelling sound synthesis.

Inter-annotator agreement using the Conversation Analysis Modelling Schema, for dialogue (2022)
Journal Article

We present the Conversation Analysis Modeling Schema (CAMS), a novel dialogue labeling schema that combines the Conversation Analysis concept of Adjacency Pairs, with Dialogue Acts. The aim is to capture both the semantic and syntactic structure of d... Read More about Inter-annotator agreement using the Conversation Analysis Modelling Schema, for dialogue.

Transfer learning for operator selection: A reinforcement learning approach (2022)
Journal Article

In the past two decades, metaheuristic optimisation algorithms (MOAs) have been increasingly popular, particularly in logistic, science, and engineering problems. The fundamental characteristics of such algorithms are that they are dependent on a par... Read More about Transfer learning for operator selection: A reinforcement learning approach.

An acceptance and commitment therapy prototype mobile program for individuals with a visible difference: Mixed methods feasibility study (2022)
Journal Article

Background: Mobile apps may offer a valuable platform for delivering evidence-based psychological interventions for individuals with atypical appearances, or visible differences, who experience psychosocial appearance concerns such as appearance-base... Read More about An acceptance and commitment therapy prototype mobile program for individuals with a visible difference: Mixed methods feasibility study.

Network maintenance planning via multi-agent reinforcement learning (2022)
Presentation / Conference Contribution

Within this work, the challenge of developing maintenance planning solutions for networked assets is considered. This is challenging due to the very nature of these systems which are often heterogeneous, distributed and have complex co-dependencies b... Read More about Network maintenance planning via multi-agent reinforcement learning.

On the fairness of generative adversarial networks (GANs) (2022)
Presentation / Conference Contribution

Generative adversarial networks (GANs) are one of the greatest advances in AI in recent years. With their ability to directly learn the probability distribution of data and then sample synthetic realistic data. Many applications have emerged, using G... Read More about On the fairness of generative adversarial networks (GANs).

Marimo actuated rover systems (2022)
Journal Article

Background: The potential to directly harness photosynthesis to make actuators, biosensors and bioprocessors has been previously demonstrated in the literature. Herein, this capability has been expanded to more advanced systems — Marimo Actuated Rove... Read More about Marimo actuated rover systems.

Survival of the synthesis—GPU accelerating evolutionary sound matching (2022)
Journal Article

Manually configuring synthesizer parameters to reproduce a particular sound is a complex and challenging task. Researchers have previously used different optimization algorithms, including evolutionary algorithms to find optimal sound matching soluti... Read More about Survival of the synthesis—GPU accelerating evolutionary sound matching.

Memory-constrained context-aware reasoning (2022)
Presentation / Conference Contribution

The context-aware computing paradigm introduces environments, known as smart spaces, which can unobtrusively and proactively assist their users. These systems are currently mostly implemented on mobile platforms considering various techniques, includ... Read More about Memory-constrained context-aware reasoning.

Electrical spiking of psilocybin fungi (2022)
Journal Article

Psilocybin fungi, aka “magic” mushrooms, are well known for inducing colorful and visionary states of mind. Such psychoactive properties and the ease of cultivating their basidiocarps within low-tech setups make psilocybin fungi promising pharmacolog... Read More about Electrical spiking of psilocybin fungi.

The role of text analytics in healthcare: A review of recent developments and applications (2021)
Presentation / Conference Contribution

The implementation of Data Analytics has achieved a significant momentum across a very wide range of domains. Part of that progress is directly linked to the implementation of Text Analytics solutions. Organisations increasingly seek to harness the p... Read More about The role of text analytics in healthcare: A review of recent developments and applications.

Automatic for the people: Crowd-driven generative scores using Manhattan and machine vision (2021)
Presentation / Conference Contribution

This paper details a workshop and optional public installation based on the development of situational scores that combine music notation, AI, and code to create dynamic interactive art driven by the realtime movements of objects and people in a live... Read More about Automatic for the people: Crowd-driven generative scores using Manhattan and machine vision.

Fungal electronics (2021)
Journal Article

Fungal electronics is a family of living electronic devices made of mycelium bound composites or pure mycelium. Fungal electronic devices are capable of changing their impedance and generating spikes of electrical potential in response to external co... Read More about Fungal electronics.

Pandemic management with social media analytics (2021)
Book Chapter

Social media analytics appears as one of recently developing disciplines that helps understand public perception, reaction, and emerging developments. Particularly, pandemics are one of overwhelming phenomena that push public concerns and necessitate... Read More about Pandemic management with social media analytics.

Analysing the effect of food supply chain traceability on product waste (2021)
Presentation / Conference Contribution

This paper presents initial results from an agent-based simulation study into the impact of supply chain traceability information sharing on food waste reduction in the fresh food supply chain. Based on data collected during a 2019 study of a multi-t... Read More about Analysing the effect of food supply chain traceability on product waste.

Blockchain and artificial intelligence – Managing a secure and sustainable supply chain (2021)
Book Chapter

Supply chain management is often the most challenging part of any business that manufactures, sells goods, or provides services. Regardless of whether the operations are mostly physical or online, managing supply chains largely relies on being able t... Read More about Blockchain and artificial intelligence – Managing a secure and sustainable supply chain.

Deep learning based customer preferences analysis in industry 4.0 environment (2021)
Journal Article

Customer preferences analysis and modelling using deep learning in edge computing environment are critical to enhance customer relationship management that focus on a dynamically changing market place. Existing forecasting methods work well with ofte... Read More about Deep learning based customer preferences analysis in industry 4.0 environment.

Bespoke anywhere (2021)
Presentation / Conference Contribution

This paper reports on a project aimed to break away from the portability concerns of native DSP code between different platforms, thus freeing the instrument designer from the burden of porting new Digital Musical Instruments (DMIs) to different arch... Read More about Bespoke anywhere.