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Outputs (121)

Breaking down disciplinary walls: redefining the teaching of Translation for Intercultural Dialogue (2021)
Presentation / Conference Contribution
Penman, C., & Wilkinson, J. (2021, May). Breaking down disciplinary walls: redefining the teaching of Translation for Intercultural Dialogue. Paper presented at Breaking down the walls of Babel: dialogues in translation, University of Warwick

The study of translation is experiencing a revival and a transformation as recognition of its pedagogical value beyond the training of future translators grows. Training in translation not only enhances linguistic competence (Cook 2010) in both first... Read More about Breaking down disciplinary walls: redefining the teaching of Translation for Intercultural Dialogue.

Embodied online dance learning objectives of CAROUSEL + (2021)
Presentation / Conference Contribution
Mitchell, K., Koniaris, B., Tamariz, M., Kennedy, J., Cheema, N., Mekler, E., Van Der Linden, P., Herrmann, E., Hämäläinen, P., McGregor, I., Slusallek, P., & Mac Williams, C. (2021, March). Embodied online dance learning objectives of CAROUSEL +. Presented at 2021 IEEE VR 6th Annual Workshop on K-12+ Embodied Learning through Virtual and Augmented Reality (KELVAR), Lisbon, Portugal

This is a position paper concerning the embodied dance learning objectives of the CAROUSEL + 1 project, which aims to impact how online immersive technologies influence multiuser interaction and communication with a focus on dancing and learning danc... Read More about Embodied online dance learning objectives of CAROUSEL +.

(Dis)locating Democratisation: Grime, Digitalisation, and 'The PlayStation Generation' (2021)
Presentation / Conference Contribution
Harkins, P. (2021, May). (Dis)locating Democratisation: Grime, Digitalisation, and 'The PlayStation Generation'. Paper presented at Annual Symposium of Music Scholars in Finland, Online

For many commentators over the last two decades, digitisation represents nothing short of a watershed moment in how music is produced, stored, and consumed. In this paper, I address claims around the democratisation of music making with the advent of... Read More about (Dis)locating Democratisation: Grime, Digitalisation, and 'The PlayStation Generation'.

Artificial Intelligence and Blockchain for Future Cybersecurity Applications (2021)
Book
Maleh, Y., Baddi, Y., Alazab, M., Tawalbeh, L., & Romdhani, I. (Eds.). (2021). Artificial Intelligence and Blockchain for Future Cybersecurity Applications. Springer. https://doi.org/10.1007/978-3-030-74575-2

Presents the state-of-the-art and the latest discoveries in the field of Artificial Intelligence and Blockchain techniques and methods for future cybersecurity applications
Proposes new models, practical solutions and technological advances related... Read More about Artificial Intelligence and Blockchain for Future Cybersecurity Applications.

A Conceptual Framework for Establishing Trust in Real World Intelligent Systems (2021)
Journal Article
Guckert, M., Gumpfer, N., Hannig, J., Keller, T., & Urquhart, N. (2021). A Conceptual Framework for Establishing Trust in Real World Intelligent Systems. Cognitive Systems Research, 68, 143-155. https://doi.org/10.1016/j.cogsys.2021.04.001

Intelligent information systems that contain emergent elements often encounter trust problems because results do not get sufficiently explained and the procedure itself can not be fully retraced. This is caused by a control flow depending either on s... Read More about A Conceptual Framework for Establishing Trust in Real World Intelligent Systems.

A hybrid CNN-LSTM model for predicting PM2.5 in Beijing based on spatiotemporal correlation (2021)
Journal Article
Ding, C., Wang, G., Zhang, X., Liu, Q., & Liu, X. (2021). A hybrid CNN-LSTM model for predicting PM2.5 in Beijing based on spatiotemporal correlation. Environmental and Ecological Statistics, 128(3), 503-522. https://doi.org/10.1007/s10651-021-00501-8

Long-term exposure to air environments full of suspended particles, especially PM2.5, would seriously damage people's health and life (i.e., respiratory diseases and lung cancers). Therefore, accurate PM2.5 prediction is important for the government... Read More about A hybrid CNN-LSTM model for predicting PM2.5 in Beijing based on spatiotemporal correlation.

Launching Adversarial Attacks against Network Intrusion Detection Systems for IoT (2021)
Journal Article
Papadopoulos, P., Thornewill Von Essen, O., Pitropakis, N., Chrysoulas, C., Mylonas, A., & Buchanan, W. J. (2021). Launching Adversarial Attacks against Network Intrusion Detection Systems for IoT. Journal of Cybersecurity and Privacy, 1(2), 252-273. https://doi.org/10.3390/jcp1020014

As the internet continues to be populated with new devices and emerging technologies, the attack surface grows exponentially. Technology is shifting towards a profit-driven Internet of Things market where security is an afterthought. Traditional defe... Read More about Launching Adversarial Attacks against Network Intrusion Detection Systems for IoT.

Modelling transport emission of an out of town centre to achieve emission reduction targets (2021)
Presentation / Conference Contribution
Malik, F. A., Bell, M., Dala, L., & Busawon, K. (2021, March). Modelling transport emission of an out of town centre to achieve emission reduction targets. Presented at 2021 6th International Symposium on Environment-Friendly Energies and Applications (EFEA), Sofia, Bulgaria

Transportation negatively affects the environment due to a high carbon footprint associated with travel. In this paper, we estimate the commuter travel emissions of an out-of-town centre and evaluate the modelled emission against the targets set out... Read More about Modelling transport emission of an out of town centre to achieve emission reduction targets.

Offering Zero-Rated Content in the Shadow of Net Neutrality (2021)
Journal Article
Colangelo, G., & Torti, V. (2021). Offering Zero-Rated Content in the Shadow of Net Neutrality. Market and Competition Law Review, 5(1), 141-166. https://doi.org/10.34632/mclawreview.2021.10011

In the recent Telenor case, the EU Court of Justice has for the first time interpreted the relationship between net neutrality regulation and zero-rating offers, considering the former incompatible with the offer of packages in which data traffic gen... Read More about Offering Zero-Rated Content in the Shadow of Net Neutrality.

A novel tensor-information bottleneck method for multi-input single-output applications (2021)
Journal Article
Lu, L., Ren, X., Cui, C., Tan, Z., Wu, Y., & Qin, Z. (2021). A novel tensor-information bottleneck method for multi-input single-output applications. Computer Networks, 193, Article 108088. https://doi.org/10.1016/j.comnet.2021.108088

Ensuring timeliness and mobility for multimedia computing is a crucial task for wireless communication. Previous algorithms that utilize information channels, such as the information bottleneck method, have shown great performance and efficiency, whi... Read More about A novel tensor-information bottleneck method for multi-input single-output applications.

When to (or not to) trust intelligent machines: Insights from an evolutionary game theory analysis of trust in repeated games (2021)
Journal Article
Han, T. A., Perrett, C., & Powers, S. T. (2021). When to (or not to) trust intelligent machines: Insights from an evolutionary game theory analysis of trust in repeated games. Cognitive Systems Research, 68, Article 111-124. https://doi.org/10.1016/j.cogsys.2021.02.003

The actions of intelligent agents, such as chatbots, recommender systems, and virtual assistants are typically not fully transparent to the user. Consequently , users take the risk that such agents act in ways opposed to the users' preferences or goa... Read More about When to (or not to) trust intelligent machines: Insights from an evolutionary game theory analysis of trust in repeated games.

Real Time Optimisation of Traffic Signals to Prioritise Public Transport (2021)
Presentation / Conference Contribution
Plötz, P.-A., Wittpohl, M., & Urquhart, N. (2021, April). Real Time Optimisation of Traffic Signals to Prioritise Public Transport. Presented at EvoApplications 2021, Online

This paper examines the optimisation of traffic signals to prioritise public transportation (busses) in real time. A novel representation for the traffic signal prioritisation problem is introduced. Through the novel representation a creative evoluti... Read More about Real Time Optimisation of Traffic Signals to Prioritise Public Transport.

WILDA: Wide Learning of Diverse Architectures for Classification of Large Datasets (2021)
Presentation / Conference Contribution
Pitt, J., Burth Kurka, D., Hart, E., & Cardoso, R. P. (2021, April). WILDA: Wide Learning of Diverse Architectures for Classification of Large Datasets. Presented at 24th European Conference, EvoApplications 2021, Online

In order to address scalability issues, which can be a challenge for Deep Learning methods, we propose Wide Learning of Diverse Architectures-a model that scales horizontally rather than vertically, enabling distributed learning. We propose a distrib... Read More about WILDA: Wide Learning of Diverse Architectures for Classification of Large Datasets.

A Comparative Analysis of Honeypots on Different Cloud Platforms (2021)
Journal Article
Kelly, C., Pitropakis, N., Mylonas, A., McKeown, S., & Buchanan, W. J. (2021). A Comparative Analysis of Honeypots on Different Cloud Platforms. Sensors, 21(7), Article 2433. https://doi.org/10.3390/s21072433

In 2019, the majority of companies used at least one cloud computing service and it is expected that by the end of 2021, cloud data centres will process 94% of workloads. The financial and operational advantages of moving IT infrastructure to special... Read More about A Comparative Analysis of Honeypots on Different Cloud Platforms.

The Pacific Community Filmmaking Consortium – Doing Impact and Engagement during a global pandemic (2021)
Presentation / Conference Contribution
MacLeod, K. (2021, March). The Pacific Community Filmmaking Consortium – Doing Impact and Engagement during a global pandemic. Paper presented at MPE/MeCCSA Practice Network Symposium 2021, Bournemouth University

The presentation will discuss initial reflections on a UKRI funded impact and engagement project in the Pacific, aimed at addressing community based and participatory media production as a development methodology to tackle gender inequality and speci... Read More about The Pacific Community Filmmaking Consortium – Doing Impact and Engagement during a global pandemic.

Privacy and Trust Redefined in Federated Machine Learning (2021)
Journal Article
Papadopoulos, P., Abramson, W., Hall, A. J., Pitropakis, N., & Buchanan, W. J. (2021). Privacy and Trust Redefined in Federated Machine Learning. Machine Learning and Knowledge Extraction, 3(2), 333-356. https://doi.org/10.3390/make3020017

A common privacy issue in traditional machine learning is that data needs to be disclosed for the training procedures. In situations with highly sensitive data such as healthcare records, accessing this information is challenging and often prohibited... Read More about Privacy and Trust Redefined in Federated Machine Learning.

COVID-19 UK Social Media Dataset for Public Health Research (2021)
Data
Plant, R., Hussain, A., & Sheikh, A. (2021). COVID-19 UK Social Media Dataset for Public Health Research. [Data]. https://doi.org/10.17869/enu.2021.2755974

We present a benchmark database of public social media postings from the United Kingdom related to the Covid-19 pandemic for academic research purposes, along with some initial analysis, including a taxonomy of key themes organised by keyword. This r... Read More about COVID-19 UK Social Media Dataset for Public Health Research.

The Scottish Revival Network (2021)
Presentation / Conference Contribution
Lyall, S. (2021, March). The Scottish Revival Network. Paper presented at The Future of Scottish Cosmopolitanism at the Fin de Siècle, University of Glasgow [Online]

The worst is yet to come: the psychological impact of COVID-19 on Hong Kong music teachers (2021)
Journal Article
Cheng, L., & Lam, C. Y. (2021). The worst is yet to come: the psychological impact of COVID-19 on Hong Kong music teachers. Music Education Research, 23(2), 211-224. https://doi.org/10.1080/14613808.2021.1906215

The COVID-19 pandemic has made online and distance learning the new normal at all levels of education. Music as a school subject that relies heavily on multimodal sensory and auditory-motor interactions has been dramatically affected. Music teachers... Read More about The worst is yet to come: the psychological impact of COVID-19 on Hong Kong music teachers.