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Outputs (3390)

Learning-Based Neural Ant Colony Optimization (2023)
Presentation / Conference Contribution
Liu, Y., Qiu, J., Hart, E., Yu, Y., Gan, Z., & Li, W. (2023, July). Learning-Based Neural Ant Colony Optimization. Presented at GECCO 2023, Lisbon, Portugal

In this paper, we propose a new ant colony optimization algorithm , called learning-based neural ant colony optimization (LN-ACO), which incorporates an "intelligent ant". This intelligent ant contains a convolutional neural network pre-trained on a... Read More about Learning-Based Neural Ant Colony Optimization.

FestForward: Participatory Design Futuring and World-Building for Equitable Digital Futures in Performing Arts Festivals (2023)
Presentation / Conference Contribution
Elsden, C., Jones, V., Helgason, I., Abernethy, L., & Brown, W. (2023, July). FestForward: Participatory Design Futuring and World-Building for Equitable Digital Futures in Performing Arts Festivals. Presented at DIS '23: Designing Interactive Systems Conference, Pittsburgh, PA, USA

FestForward is a fictional, local, cultural magazine, set in 2030, designed to stimulate conversations about equitable and sustainable digital futures in performing arts festivals. This extensive design fiction was developed through a series of parti... Read More about FestForward: Participatory Design Futuring and World-Building for Equitable Digital Futures in Performing Arts Festivals.

Critical perspectives on policing rural environments: Cops, context, communication and COVID-19 (2023)
Presentation / Conference Contribution
Wooff, A., Horgan, S., & Tatnell, A. (2023, September). Critical perspectives on policing rural environments: Cops, context, communication and COVID-19. Presented at 23rd Annual Conference of the European Society of Criminology, Florence, Italy

Recent work on policing in rural communities has highlighted the importance of reflecting critically on the context and environment being policed. Research has pointed to the importance of police discretion, order maintenance and police-community rel... Read More about Critical perspectives on policing rural environments: Cops, context, communication and COVID-19.

Editorial: Games May Host the First Rightful AI Citizens (2023)
Journal Article
Mitchell, K. (2023). Editorial: Games May Host the First Rightful AI Citizens. Games: Research and Practice, 1(2), 1-7. https://doi.org/10.1145/3606834

GAMES creatively take place in imaginative worlds informed by, but often not limited by, real-world challenges, and this advantageously provides an accelerated environment for innovation, where concepts and ideas can be explored unencumbered by physi... Read More about Editorial: Games May Host the First Rightful AI Citizens.

Extending AGADE Traffic To Simulate Auctions In Shared Mobility Services (2023)
Presentation / Conference Contribution
Nguyen, J., Powers, S., Urquhart, N., Eckerle, D., Farrenkopf, T., & Guckert, M. (2023, June). Extending AGADE Traffic To Simulate Auctions In Shared Mobility Services. Presented at 37th ECMS International Conference on Modelling and Simulation, Florence, Italy

With the number of individual vehicles meeting the capacity limit of urban road infrastructure, the deployment of new mobility services may help to achieve more efficient use of available resources and prevent critical overload. It may be observed th... Read More about Extending AGADE Traffic To Simulate Auctions In Shared Mobility Services.

PMNet: A Multi-branch and Multi-scale Fusion Convolutional Neural Network for Water Body Extraction of High-resolution Remote Sensing Images (2023)
Journal Article
Liu, Q., Zhang, Z., Liu, X., Zhang, Y., & Du, Z. (in press). PMNet: A Multi-branch and Multi-scale Fusion Convolutional Neural Network for Water Body Extraction of High-resolution Remote Sensing Images. Intelligent Automation and Soft Computing,

Automatic extraction of water body information from high-resolution remote sensing images is one of the core tasks of remote sensing image interpretation. Since the complex multi-scale characteristics of high-resolution remote sensing images, it is d... Read More about PMNet: A Multi-branch and Multi-scale Fusion Convolutional Neural Network for Water Body Extraction of High-resolution Remote Sensing Images.

Changing Public Opinion on Fashion and Age: Unpacking Narrative Strategy in Instagram Message Posts of 50+ Fashion Influencers (2023)
Presentation / Conference Contribution
Logan-McFarlane, A., & Samsioe, E. (2023, June). Changing Public Opinion on Fashion and Age: Unpacking Narrative Strategy in Instagram Message Posts of 50+ Fashion Influencers. Paper presented at Consumer Culture Theory (CCT), Lund University, Sweden

Our study aims to investigate how narrative strategy can be employed to change public opinion on age in the Western beauty and fashion market. Our unique contribution lies in the interpretation of Instagram message post content to reveal how composit... Read More about Changing Public Opinion on Fashion and Age: Unpacking Narrative Strategy in Instagram Message Posts of 50+ Fashion Influencers.

MESON: A Mobility-aware Dependent Task Offloading Scheme for Urban Vehicular Edge Computing (2023)
Journal Article
Zhao, L., Zhang, E., Wan, S., Hawbani, A., Al-Dubai, A. Y., Min, G., & Zomaya, A. Y. (2024). MESON: A Mobility-aware Dependent Task Offloading Scheme for Urban Vehicular Edge Computing. IEEE Transactions on Mobile Computing, 23(5), 4259 - 4272. https://doi.org/10.1109/tmc.2023.3289611

Vehicular Edge Computing (VEC) is the transportation version of Mobile Edge Computing (MEC) in road scenarios. One key technology of VEC is task offloading, which allows vehicles to send their computation tasks to the surrounding Roadside Units (RSUs... Read More about MESON: A Mobility-aware Dependent Task Offloading Scheme for Urban Vehicular Edge Computing.

MedOptNet: Meta-Learning Framework for Few-shot Medical Image Classification (2023)
Journal Article
Lu, L., Cui, X., Tan, Z., & Wu, Y. (2024). MedOptNet: Meta-Learning Framework for Few-shot Medical Image Classification. IEEE/ACM Transactions on Computational Biology and Bioinformatics, 21(4), 725-736. https://doi.org/10.1109/TCBB.2023.3284846

In the medical research domain, limited data and high annotation costs have made efficient classification under few-shot conditions a popular research area. This paper proposes a meta-learning framework, termed MedOptNet, for few-shot medical image c... Read More about MedOptNet: Meta-Learning Framework for Few-shot Medical Image Classification.

A Multi-Swarm PSO Approach to Large-Scale Task Scheduling in a Sustainable Supply Chain Datacenter (2023)
Journal Article
Liu, Q., Zeng, L., Bilal, M., Song, H., Liu, X., Zhang, Y., & Cao, X. (2023). A Multi-Swarm PSO Approach to Large-Scale Task Scheduling in a Sustainable Supply Chain Datacenter. IEEE Transactions on Green Communications and Networking, 7(4), 1667 - 1677. https://doi.org/10.1109/tgcn.2023.3283509

Supply chain management is a vital part of ensuring service quality and production efficiency in industrial applications. With the development of cloud computing and data intelligence in modern industries, datacenters have become an important basic s... Read More about A Multi-Swarm PSO Approach to Large-Scale Task Scheduling in a Sustainable Supply Chain Datacenter.

The Arcade at Cheltenham Science Festival (Curator) (2023)
Exhibition / Performance
Kerr, G. The Arcade at Cheltenham Science Festival (Curator). [Exhibition]. Exhibited at Cheltenham Science Festival. 6 June 2023 - 11 June 2023

Welcome to The Arcade! Get your tokens ready to make, break and create. Test out your skills on our fun, creative and two-player challenges. Come along to The Arcade to play games of the past, present and future. Plus, hang out with our cyber cracker... Read More about The Arcade at Cheltenham Science Festival (Curator).

A numerical framework for the simulation of coupled electromechanical growth (2023)
Journal Article
Li, Z., Kadapa, C., Hossain, M., & Wang, J. (2023). A numerical framework for the simulation of coupled electromechanical growth. Computer Methods in Applied Mechanics and Engineering, 414, Article 116128. https://doi.org/10.1016/j.cma.2023.116128

Electro-mechanical response exists in growing materials such as biological tissues and hydrogels, influencing the growth process, pattern formation and geometry remodelling. To gain a better understanding of the mechanism of the coupled effects of gr... Read More about A numerical framework for the simulation of coupled electromechanical growth.

Towards individualised speech enhancement: An SNR preference learning system for multi-modal hearing aids (2023)
Presentation / Conference Contribution
Kirton-Wingate, J., Ahmed, S., Gogate, M., Tsao, Y., & Hussain, A. (2023, June). Towards individualised speech enhancement: An SNR preference learning system for multi-modal hearing aids. Presented at 2023 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW), Rhodes Island, Greece

Since the advent of deep learning (DL), speech enhancement (SE) models have performed well under a variety of noise conditions. However, such systems may still introduce sonic artefacts, sound unnatural, and restrict the ability for a user to hear am... Read More about Towards individualised speech enhancement: An SNR preference learning system for multi-modal hearing aids.

Digital Twin Enriched Green Topology Discovery for Next Generation Core Networks (2023)
Journal Article
Duran, K., & Canberk, B. (2023). Digital Twin Enriched Green Topology Discovery for Next Generation Core Networks. IEEE Transactions on Green Communications and Networking, 7(4), 1946 - 1956. https://doi.org/10.1109/tgcn.2023.3282326

Topology discovery is the key function of core network management since it utilizes the perception of data and mapping network devices. Nevertheless, it holds operational and resource efficiency complexities. For example, traditional discovery cannot... Read More about Digital Twin Enriched Green Topology Discovery for Next Generation Core Networks.

Influence policing: exploring the use of targeted digital 'nudge' communications by law enforcement in the UK (2023)
Presentation / Conference Contribution
Collier, B., & Horgan, S. (2023, September). Influence policing: exploring the use of targeted digital 'nudge' communications by law enforcement in the UK. Presented at 23rd Annual Conference of the European Society of Criminology, Florence, Italy

This paper describes an emerging phenomenon in UK policing: the use of behavioural ‘nudge’ communications campaigns. These campaigns are both a reaction to a UK political and policing context of multiple overlapping crises, many of which are perceive... Read More about Influence policing: exploring the use of targeted digital 'nudge' communications by law enforcement in the UK.

Protecting Public Facing Professionals Online (3PO): Privacy policies and protections in routine police management (2023)
Presentation / Conference Contribution
Horgan, S., Aston, L., & Wong, Y. N. (2023, September). Protecting Public Facing Professionals Online (3PO): Privacy policies and protections in routine police management. Presented at 23rd Annual Conference of the European Society of Criminology, Florence, Italy

This paper explores the ways in which police organizations conceptualize and operationalize their sense of responsibility for officers’ online safety and privacy. Police officers and organizations are increasingly the targets of cyber-attacks and tec... Read More about Protecting Public Facing Professionals Online (3PO): Privacy policies and protections in routine police management.

DanceGraph: A Complementary Architecture for Synchronous Dancing Online (2023)
Presentation / Conference Contribution
Sinclair, D., Ademola, A. V., Koniaris, B., & Mitchell, K. (2023, May). DanceGraph: A Complementary Architecture for Synchronous Dancing Online. Paper presented at 36th International Computer Animation & Social Agents (CASA) 2023, Limassol, Cyprus

DanceGraph is an architecture for synchronized online dancing overcoming the latency of net-worked body pose sharing. We break down this challenge by developing a real-time bandwidth-efficient architecture to minimize lag and reduce the timeframe of... Read More about DanceGraph: A Complementary Architecture for Synchronous Dancing Online.

A Novel Federated Learning Scheme for Generative Adversarial Networks (2023)
Journal Article
Zhang, J., Zhao, L., Yu, K., Min, G., Al-Dubai, A., & Zomya, A. (2024). A Novel Federated Learning Scheme for Generative Adversarial Networks. IEEE Transactions on Mobile Computing, 23(5), 3633-3649. https://doi.org/10.1109/tmc.2023.3278668

Generative adversarial networks (GANs) have been advancing and gaining tremendous interests from both academia and industry. With the development of wireless technologies, a huge amount of data generated at the network edge provides an unprecedented... Read More about A Novel Federated Learning Scheme for Generative Adversarial Networks.

An exploration of diversity in Embodied Music Interaction (2023)
Presentation / Conference Contribution
Di Donato, B. (2023, May). An exploration of diversity in Embodied Music Interaction. Presented at CHIME: Music Interaction and Physical Disability, University of Edinburgh, Edinburgh

This is an exploration of diversity in Embodied Music Interaction through three case studies entitled (i) Accessible interactive digital signage for the visually impaired, (ii) Human-Sound Interaction and (iii) BSL in Embodied Music Interaction (EMI)... Read More about An exploration of diversity in Embodied Music Interaction.