All Outputs (11123)

Performance of yellow and pink oyster mushroom dyes in dye sensitized solar cell (2024)
Journal Article
Muhammad-Sukki, F., Pirdaus, N. A., Ahmad, N., Dahlan, N. Y., Redzuan, A. N., Zalizan, A. H., Bani, N. A., Abdul Patah, M. F., & Wan-Mohtar, W. A. A. Q. I. (2024). Performance of yellow and pink oyster mushroom dyes in dye sensitized solar cell. Scientific Reports, 14, Article 23757. https://doi.org/10.1038/s41598-024-73865-z

A solar photovoltaic (PV) cell, is an electrical device that uses the PV effect to convert light energy into electricity. The application of oyster mushroom dyes in dye sensitized solar cell (DSSC) is a novel strategy to substitute the costly chemica... Read More about Performance of yellow and pink oyster mushroom dyes in dye sensitized solar cell.

A Secure Authentication Framework for Consumer Mobile Crowdsourcing Networks (2024)
Journal Article
Aldosary, A., Tanveer, M., Ahmad, M., Maghrabi, L. A., Ahmed, E. A., Hussain, A., & El-Latif, A. A. A. (2024). A Secure Authentication Framework for Consumer Mobile Crowdsourcing Networks. IEEE Transactions on Consumer Electronics, https://doi.org/10.1109/tce.2024.3473930

The Mobile crowdsourcing network (MCN) leverages collaborative intelligence to solve complex tasks through group cooperation. It comprises three main components: the end-user, the service provider, and the mobile user. The end-user requests crowd-sen... Read More about A Secure Authentication Framework for Consumer Mobile Crowdsourcing Networks.

Pedagogical Approaches in Music and Audio Education for Deaf and Hard-of-Hearing Students (2024)
Journal Article
Cheng, L., & Mcgregor, I. (online). Pedagogical Approaches in Music and Audio Education for Deaf and Hard-of-Hearing Students. Organised Sound, https://doi.org/10.1017/s1355771824000074

Learning about music, sound or audio can present significant challenges for individuals who are deaf and hard of hearing (DHH). Given the advancements in technology and the increasing emphasis on equality, diversity and inclusion (EDI) in education,... Read More about Pedagogical Approaches in Music and Audio Education for Deaf and Hard-of-Hearing Students.

UHF Partial Discharge Detection for Power Transformer Based on Hilbert Fractal Antenna with Different Feeding Techniques (2024)
Journal Article
Abd Jalil, M. A., Rosmi, A. S., Rohani, M. N. K. H., Jamlos, M. A., Ananda-Rao, K., Abdul Nasir, A. S., Abdul Majid, M. H. H., & Muhammad-Sukki, F. (2026). UHF Partial Discharge Detection for Power Transformer Based on Hilbert Fractal Antenna with Different Feeding Techniques. Journal of Advanced Research in Applied Sciences and Engineering Technology, 60(1), 166-181. https://doi.org/10.37934/araset.60.1.166181

In power transformer, Partial Discharge (PD) can cause a major equipment risk and lead to further accidents. One of the PD detection techniques is Ultra-High Frequency (UHF) antenna. UHF antenna have a major advantage which is it immune to external i... Read More about UHF Partial Discharge Detection for Power Transformer Based on Hilbert Fractal Antenna with Different Feeding Techniques.

Numerical investigations into the comparison of hydrogen and gas mixtures storage within salt caverns (2024)
Journal Article
Wallace, R. L., Cai, Z., Zhang, H., & Guo, C. (2024). Numerical investigations into the comparison of hydrogen and gas mixtures storage within salt caverns. Energy, 311, Article 133369. https://doi.org/10.1016/j.energy.2024.133369

Salt caverns, long used for natural gas storage to manage peak loads, are being considered for hydrogen storage as part of the shift towards greener fuels. This transition necessitates re-evaluating heat and fluid transport to ensure the suitability... Read More about Numerical investigations into the comparison of hydrogen and gas mixtures storage within salt caverns.

Impact of the Finch case on EIA and the carbon accounting space (2024)
Journal Article
Landsburgh, C., D'Amico, B., & Davies, I. (online). Impact of the Finch case on EIA and the carbon accounting space. Proceedings of the ICE - Engineering Sustainability, https://doi.org/10.1680/jensu.24.00108

The UK Supreme Court's ruling in "R (on the application of Finch on behalf of the Weald Action Group) (Appellant) v Surrey County Council and others (Respondents)" marks a pivotal moment in environmental law and greenhouse gas emission responsibility... Read More about Impact of the Finch case on EIA and the carbon accounting space.

Assessing the risk of pedestrian crossing behavior on suburban roads using structural equation model (2024)
Journal Article
Kavianpour, S., Haghighi, F., Sheykhfard, A., Das, S., Fountas, G., & Oshanreh, M. M. (online). Assessing the risk of pedestrian crossing behavior on suburban roads using structural equation model. Journal of Traffic and Transportation Engineering, https://doi.org/10.1016/j.jtte.2023.12.001

While pedestrian crashes on suburban roads have received more attention over recent years, the role of pedestrian crossing risk in areas adjacent to pedestrian crossing facilities, such as pedestrian overpasses, has been neglected. Most pedestrians i... Read More about Assessing the risk of pedestrian crossing behavior on suburban roads using structural equation model.

RI-L1Approx: A novel Resnet-Inception-based Fast L1-approximation method for face recognition (2024)
Journal Article
Bajpai, S., Mishra, G., Jain, R., Jain, D. K., Saini, D., & Hussain, A. (online). RI-L1Approx: A novel Resnet-Inception-based Fast L1-approximation method for face recognition. Neurocomputing, 128708. https://doi.org/10.1016/j.neucom.2024.128708

Performance of deep learning methods for face recognition often relies on abundant data, posing challenges in surveillance and security where data availability is limited and environments are unconstrained. To address this challenge, we propose a nov... Read More about RI-L1Approx: A novel Resnet-Inception-based Fast L1-approximation method for face recognition.

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.

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.

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.

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.

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.

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.

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.

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. *New journal, 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.

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.

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.

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.

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.