All Outputs (2058)

Insights into the dynamics of ligand-induced dimerisation via mathematical modelling and analysis (2022)
Journal Article
White, C., Rottschäfer, V., & Bridge, L. (2022). Insights into the dynamics of ligand-induced dimerisation via mathematical modelling and analysis. Journal of Theoretical Biology, 538, 110996. https://doi.org/10.1016/j.jtbi.2021.110996

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
Renney, H., Willemsen, S., Gaster, B. R., & Mitchell, T. J. (2022, June). HyperModels - A framework for GPU accelerated physical modelling sound synthesis. Presented at The International Conference on New Interfaces for Musical Expression, The University of Auckland, New Zealand

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
Duran, N., Battle, S., & Smith, J. (2022). Inter-annotator agreement using the Conversation Analysis Modelling Schema, for dialogue. Communication Methods and Measures, 16(3), 182-214. https://doi.org/10.1080/19312458.2021.2020229

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
Durgut, R., Aydin, M. E., & Rakib, A. (2022). Transfer learning for operator selection: A reinforcement learning approach. Algorithms, 15(1), Article 24. https://doi.org/10.3390/a15010024

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
Zucchelli, F., Donnelly, O., Rush, E., White, P., Gwyther, H., Williamson, H., & The VTCT Foundation Research Team at the Centre for Appearance Research. (2022). An acceptance and commitment therapy prototype mobile program for individuals with a visible difference: Mixed methods feasibility study. JMIR Formative Research, 6(1), Article e33449. https://doi.org/10.2196/33449

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
Thomas, J., Pérez Hernández, M., Parlikad, A. K., & Piechocki, R. (2022). Network maintenance planning via multi-agent reinforcement learning. In 2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC) (2289-2295). https://doi.org/10.1109/SMC52423.2021.9659150

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
Kenfack, P. J., Arapov, D. D., Hussain, R., Kazmi, S. A., & Khan, A. (2022). On the fairness of generative adversarial networks (GANs). In 2021 International Conference "Nonlinearity, Information and Robotics" (NIR) (1-7). https://doi.org/10.1109/NIR52917.2021.9666131

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
Phillips, N., Draper, T. C., Mayne, R., Reynolds, D. M., & Adamatzky, A. (2022). Marimo actuated rover systems. Journal of Biological Engineering, 16(1), Article 3. https://doi.org/10.1186/s13036-021-00279-0

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
Renney, H., Gaster, B., & Mitchell, T. J. (2022). Survival of the synthesis—GPU accelerating evolutionary sound matching. Concurrency and Computation: Practice and Experience, 34(10), Article e6824. https://doi.org/10.1002/cpe.6824

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.

Electrical spiking of psilocybin fungi (2022)
Journal Article
Gandia, A., & Adamatzky, A. (2022). Electrical spiking of psilocybin fungi. Communicative and Integrative Biology, 15(1), 226-231. https://doi.org/10.1080/19420889.2022.2136118

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.

Memory-constrained context-aware reasoning (2022)
Presentation / Conference Contribution
Uddin, I., Rakib, A., Ali, M., & Vinh, P. C. (2022). Memory-constrained context-aware reasoning. In P. Cong Vinh, & A. Rakib (Eds.), Context-Aware Systems and Applications (133-146). https://doi.org/10.1007/978-3-030-93179-7_11

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.

Fungal electronics (2021)
Journal Article
Adamatzky, A., Ayres, P., Beasley, A. E., Chiolerio, A., Dehshibi, M. M., Gandia, A., …Wösten, H. A. (2022). Fungal electronics. BioSystems, 212, Article 104588. https://doi.org/10.1016/j.biosystems.2021.104588

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.

Blockchain and artificial intelligence – Managing a secure and sustainable supply chain (2021)
Book Chapter
Pimenidis, E., Patsavellas, J., & Tonkin, M. (2021). Blockchain and artificial intelligence – Managing a secure and sustainable supply chain. In H. Jahankhani, A. Jamal, & S. Lawson (Eds.), Cybersecurity, Privacy and Freedom Protection in the Connected World. (1). Springer. https://doi.org/10.1007/978-3-030-68534-8

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.

The role of text analytics in healthcare: A review of recent developments and applications (2021)
Presentation / Conference Contribution
Elbattah, M., Arnaud, É., Gignon, M., & Dequen, G. (2021). The role of text analytics in healthcare: A review of recent developments and applications. In Proceedings of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies (825-832). https://doi.org/10.5220/0010414508250832

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.

Pandemic management with social media analytics (2021)
Book Chapter
Sabuncu, I., & Aydin, M. E. (2021). Pandemic management with social media analytics. In Data Science Advancements in Pandemic and Outbreak Management (78-107). IGI Global. https://doi.org/10.4018/978-1-7998-6736-4.ch005

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.

Privacy-preserving pandemic monitoring (2021)
Book Chapter
Win, T. Y., & Tianfield, H. (2021). Privacy-preserving pandemic monitoring. In Data Science Advancements in Pandemic and Outbreak Management (194--206). IGI Global. https://doi.org/10.4018/978-1-7998-6736-4

Evolving Boolean regulatory networks with variable gene expression times (2021)
Book Chapter
Bull, L. (2021). Evolving Boolean regulatory networks with variable gene expression times. In Handbook of Unconventional Computing (247-259). World Scientific Publishing. https://doi.org/10.1142/9789811235726_0007

The time taken for gene expression varies not least because proteins vary in length considerably. This paper uses an abstract, tuneable Boolean regulatory network model to explore gene expression time variation. In particular, it is shown how non-uni... Read More about Evolving Boolean regulatory networks with variable gene expression times.

Bespoke anywhere (2021)
Presentation / Conference Contribution
Gaster, B., & Challinor, R. (2021). Bespoke anywhere.

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.

Analysing the effect of food supply chain traceability on product waste (2021)
Presentation / Conference Contribution
Glew, M. R., Perez Hernandez, M., & McFarlane, D. (2021). Analysing the effect of food supply chain traceability on product waste. In M. Fakhimi, T. Boness, & D. Robertson (Eds.), Proceedings of the Operational Research Society Simulation Workshop 2021 (SW21) (145-154)

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.

Deep learning based customer preferences analysis in industry 4.0 environment (2021)
Journal Article
Sun, Q., Feng, X., Zhao, S., Cao, H., Li, S., & Yao, Y. (2021). Deep learning based customer preferences analysis in industry 4.0 environment. Mobile Networks and Applications, 26, 2329–2340. https://doi.org/10.1007/s11036-021-01830-5

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.