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Electrical Tree Image De-Noising using Threshold Wavelet Transform and Wiener Filter (2024)
Journal Article
Abdulah, C. S. K., Gazata, N. D. A., Rohani, M. N. K. H., Ismail, B., Mohd Isa, M. A., Rosmi, A. S., Mansor, N. S., Jamil, M. K., Muhammad-Sukki, F., & Mas'ud, A. A. (2025). Electrical Tree Image De-Noising using Threshold Wavelet Transform and Wiener Filter. Journal of Advanced Research in Applied Sciences and Engineering Technology, 53(1), 73-85. https://doi.org/10.37934/araset.53.1.7385

Electrical treeing occurred in solid dielectric materials, especially in electrical application with high voltage. The occurrence of electrical tree happens when high electric fields applied, causing tiny channels or paths to form. The main issue dur... Read More about Electrical Tree Image De-Noising using Threshold Wavelet Transform and Wiener Filter.

A linear dissipativity approach to incremental input-to-state stability for a class of positive Lur’e systems (2024)
Journal Article
Piengeon, V., & Guiver, C. (online). A linear dissipativity approach to incremental input-to-state stability for a class of positive Lur’e systems. International Journal of Control, https://doi.org/10.1080/00207179.2024.2403473

Incremental stability properties are considered for certain systems of forced, nonlinear differential equations with a particular positivity structure. An incremental stability estimate is derived for pairs of input/state/output trajectories of the L... Read More about A linear dissipativity approach to incremental input-to-state stability for a class of positive Lur’e systems.

DeFT-Net: Dual-Window Extended Frequency Transformer for Rhythmic Motion Prediction (2024)
Presentation / Conference Contribution
Ademola, A., Sinclair, D., Koniaris, B., Hannah, S., & Mitchell, K. (2024, September). DeFT-Net: Dual-Window Extended Frequency Transformer for Rhythmic Motion Prediction. Presented at EG UK Computer Graphics & Visual Computing (2024), London, UK

Enabling online virtual reality (VR) users to dance and move in a way that mirrors the real-world necessitates improvements in the accuracy of predicting human motion sequences paving way for an immersive and connected experience. However, the drawba... Read More about DeFT-Net: Dual-Window Extended Frequency Transformer for Rhythmic Motion Prediction.

Exploring the impact of data representation on neural data-to-text generation (2024)
Presentation / Conference Contribution
Howcroft, D. M., Watson, L. N., Nedopas, O., & Gkatzia, D. (2024, September). Exploring the impact of data representation on neural data-to-text generation. Presented at INLG 2024, Tokyo, Japan

A relatively under-explored area in research on neural natural language generation is the impact of the data representation on text quality. Here we report experiments on two leading input representations for data-to-text generation: attribute-value... Read More about Exploring the impact of data representation on neural data-to-text generation.

An Open Intent Discovery Evaluation Framework (2024)
Presentation / Conference Contribution
Anderson, G., Hart, E., Gkatzia, D., & Beaver, I. (2024, September). An Open Intent Discovery Evaluation Framework. Presented at SIGDIAL 2024, Kyoto, Japan

In the development of dialog systems the discovery of the set of target intents to identify is a crucial first step that is often overlooked. Most intent detection works assume that a labelled dataset already exists, however creating these datasets i... Read More about An Open Intent Discovery Evaluation Framework.

The effect of scaffolding-based digital instructional media on higher-order thinking skills (2024)
Journal Article
Setyaningrum, W., Pastoriko, F. M., Fabian, K., & Ying, C. Y. (2024). The effect of scaffolding-based digital instructional media on higher-order thinking skills. Journal on Mathematics Education, 15(4), 1077-1094. https://doi.org/10.22342/jme.v15i4.pp1077-1094

Higher-order thinking skills (HOTS) are widely recognized as an essential for addressing the challenges of modern life. As a result, numerous educational systems prioritize the development of students' HOTS. While previous studies have explored the i... Read More about The effect of scaffolding-based digital instructional media on higher-order thinking skills.

Automated Human-Readable Label Generation in Open Intent Discovery (2024)
Presentation / Conference Contribution
Anderson, G., Hart, E., Gkatzia, D., & Beaver, I. (2024, September). Automated Human-Readable Label Generation in Open Intent Discovery. Presented at Interspeech 2024, Kos, Greece

The correct determination of user intent is key in dialog systems. However, an intent classifier often requires a large, labelled training dataset to identify a set of known intents. The creation of such a dataset is a complex and time-consuming task... Read More about Automated Human-Readable Label Generation in Open Intent Discovery.

Automatic Metrics in Natural Language Generation: A survey of Current Evaluation Practices (2024)
Presentation / Conference Contribution
Schmidtova, P., Mahamood, S., Balloccu, S., Dusek, O., Gatt, A., Gkatzia, D., Howcroft, D. M., Platek, O., & Sivaprasad, A. (2024, September). Automatic Metrics in Natural Language Generation: A survey of Current Evaluation Practices. Presented at INLG 2024, Tokyo, Japan

Automatic metrics are extensively used to evaluate Natural Language Processing systems. However, there has been increasing focus on how the are used and reported by practitioners within the field. In this paper, we have conducted a survey on the use... Read More about Automatic Metrics in Natural Language Generation: A survey of Current Evaluation Practices.

Real-Time Digital Twin Platform: A Case Study on Core Network Selection in Aeronautical Ad-hoc Networks (2024)
Journal Article
Cakir, L. V., Kocak, M., Özdem, M., & Canberk, B. (2024). Real-Time Digital Twin Platform: A Case Study on Core Network Selection in Aeronautical Ad-hoc Networks. ITU Journal of Wireless Communications and Cybersecurity, 1(1), 41-46

The development of Digital Twins (DTs) is hindered by a lack of specialized, open-source solutions that can meet the demands of dynamic applications. This has caused state-of-the-art DT applications to be validated using offline data. However, this a... Read More about Real-Time Digital Twin Platform: A Case Study on Core Network Selection in Aeronautical Ad-hoc Networks.

Hardwoods in the United Kingdom Considerations When Looking to Future Planting and Future Value Chains (2024)
Presentation / Conference Contribution
Ridley-Ellis, D., & Cramer, M. (2024, September). Hardwoods in the United Kingdom Considerations When Looking to Future Planting and Future Value Chains. Presented at International Scientific Conference on Hardwood Processing, Coimbra, Portugal

Reasons for increasing the diversity of the tree species providing wood for the value chain include: improving forest resilience to climate change; mitigating the risks of pests and pathogens; and improving other important functions of forests such a... Read More about Hardwoods in the United Kingdom Considerations When Looking to Future Planting and Future Value Chains.

DTRAN: A Special Use Case of RAN Optimization using Digital Twin (2024)
Presentation / Conference Contribution
Tunc, C., Duran, K., Bilgin, B., Kalem, G., & Canberk, B. (2024, June). DTRAN: A Special Use Case of RAN Optimization using Digital Twin. Paper presented at 2024 European Conference on Networks and Communications EuCNC & 6G Summit, Antwerp, Belgium

The emergence of beyond 5G (B5G) and 6G networks underscores the critical role of advanced computer-aided tools, such as network digital twins (DTs), in fostering autonomous networks and ubiquitous intelligence. Existing solutions in the DT domain pr... Read More about DTRAN: A Special Use Case of RAN Optimization using Digital Twin.

Playable Archive: The management of data in the FIFA/EA Sports franchise (2024)
Presentation / Conference Contribution
Donald, I. (2024, July). Playable Archive: The management of data in the FIFA/EA Sports franchise. Presented at DiGRA 2024, Guadalajara, Jalisco, México

The FIFA series (now known as EA Sports FC) of video games are football (soccer) sports simulation games that claim to provide “unrivaled authenticity” for fans (Escaravage and Ludlow 2023). EA releases a new version annually and each iteration routi... Read More about Playable Archive: The management of data in the FIFA/EA Sports franchise.

Intelligent Digital Twin Communication Framework for Addressing Accuracy and Timeliness Tradeoff in Resource-Constrained Networks (2024)
Journal Article
Cakir, L. V., Thomson, C. J., Özdem, M., Canberk, B., Nguyen, V.-L., & Duong, T. Q. (online). Intelligent Digital Twin Communication Framework for Addressing Accuracy and Timeliness Tradeoff in Resource-Constrained Networks. IEEE Transactions on Cognitive Communications and Networking, https://doi.org/10.1109/tccn.2024.3469234

The accuracy and timeliness tradeoff prevents Digital Twins (DTs) from realizing their full potential. High accuracy is crucial for decision-making, and timeliness is equally essential for responsiveness. Therefore, this tradeoff in DT communication... Read More about Intelligent Digital Twin Communication Framework for Addressing Accuracy and Timeliness Tradeoff in Resource-Constrained Networks.

Stroke recovery—what are people talking about on Twitter? A content analysis (2024)
Journal Article
Gallacher, K. I., Petrie, D., McAdie, D. R., McGuire, P., & Quinn, T. J. (online). Stroke recovery—what are people talking about on Twitter? A content analysis. Disability and Rehabilitation, https://doi.org/10.1080/09638288.2024.2403722

Purpose
Prioritisation exercises seek out what matters to key stakeholders to inform the planning of research. Social media platforms are potentially useful data sources. The aim was to examine the content of tweets, short messages containing text a... Read More about Stroke recovery—what are people talking about on Twitter? A content analysis.

Circular Solutions: Assessing the Viability of Photovoltaic Waste Recycling in the United Kingdom (2024)
Journal Article
Ganpatsinh Parmar, D., Muhammad Sukki, F., Abu-Bakar, S. H., Mas’ud, A. A., & Kamarudin, M. K. A. (2024). Circular Solutions: Assessing the Viability of Photovoltaic Waste Recycling in the United Kingdom. International Journal of Environmental Science and Development, 15(5), 240-249. https://doi.org/10.18178/ijesd.2024.15.5.1492

The demand for the generation of energy using photovoltaics (PV) has risen exponentially in recent times all over the world. The United Kingdom (UK) has also made a rapid increase in PV installations and is implementing more developing plans in the f... Read More about Circular Solutions: Assessing the Viability of Photovoltaic Waste Recycling in the United Kingdom.

Proceedings of the 4th Transdisciplinary Workplace Research (TWR) Conference, 4th – 7th September 2024, Edinburgh, UK (2024)
Presentation / Conference Contribution
Smith, A., Reid, A., Jowkar, M., & Jaradat, S. (2024, September). Proceedings of the 4th Transdisciplinary Workplace Research (TWR) Conference, 4th – 7th September 2024, Edinburgh, UK. Presented at The 4th Transdisciplinary Workplace Research (TWR) Conference, Edinburgh

PREFACE
Welcome to the proceedings of the Fourth Transdisciplinary Research Network Conference (TWR 2024). This year’s conference marks another milestone in our ongoing journey to foster collaboration and innovation to achieve our goal of contributi... Read More about Proceedings of the 4th Transdisciplinary Workplace Research (TWR) Conference, 4th – 7th September 2024, Edinburgh, UK.

A time series context self-supervised learning for soft measurement of the f-CaO content (2024)
Journal Article
Zhao, Y., Han, Y., Chen, B., Wang, Y., Sun, Y., & Yu, H. (2024). A time series context self-supervised learning for soft measurement of the f-CaO content. Measurement Science and Technology, 35(12), Article 125121. https://doi.org/10.1088/1361-6501/ad7be0

The content of free calcium oxide (f-CaO) in cement clinker is an important index for cement quality. In the production of cement clinker, the number of unlabeled samples is excessive and there is an interplay between the variables in time. A time se... Read More about A time series context self-supervised learning for soft measurement of the f-CaO content.

DID:RING: Ring Signatures Using Decentralised Identifiers For Privacy-Aware Identity Proof (2024)
Presentation / Conference Contribution
Kasimatis, D., Grierson, S., Buchanan, W. J., Eckl, C., Papadopoulos, P., Pitropakis, N., Chrysoulas, C., Thomson, C., & Ghaleb, B. (2024, September). DID:RING: Ring Signatures Using Decentralised Identifiers For Privacy-Aware Identity Proof. Presented at 2024 IEEE International Conference on Cyber Security and Resilience (CSR), London, UK

Decentralised identifiers have become a standardised element of digital identity architecture, with supra-national organisations such as the European Union adopting them as a key component for a unified European digital identity ledger. This paper de... Read More about DID:RING: Ring Signatures Using Decentralised Identifiers For Privacy-Aware Identity Proof.