Outputs (250)

Hydraulics, Hydrology and Environmental Engineering (2023)
Book
Mathias, S. A. (2023). Hydraulics, Hydrology and Environmental Engineering. Springer. https://doi.org/10.1007/978-3-031-41973-7

This textbook provides an excellent resource for engineering and science students to develop basic, intermediate and advanced level skills in hydraulics, hydrology and environmental engineering. Topics include open channel flow, ocean waves, kinemati... Read More about Hydraulics, Hydrology and Environmental Engineering.

A distributed renewable power system with hydrogen generation and storage for an island (2023)
Journal Article
Williams, L., & Wang, Y. (2024). A distributed renewable power system with hydrogen generation and storage for an island. Applied Energy, 358, Article 122500. https://doi.org/10.1016/j.apenergy.2023.122500

This study aimed to find a distributed renewable power system with hydrogen generation and storage to meet the current Isle of Rum's energy demands. Five different systems (Case 2–6) were evaluated compared to the current power system (Case 1), with... Read More about A distributed renewable power system with hydrogen generation and storage for an island.

Advancements, Challenges, and Prospects of Water-Filled Antennas (2023)
Journal Article
Sayem, A. S. M., Lalbakhsh, A., Esselle, K. P., Moloudian, G., Buckley, J. L., & Simorangkir, R. B. V. B. (2023). Advancements, Challenges, and Prospects of Water-Filled Antennas. IEEE Access, 11, 8301-8323. https://doi.org/10.1109/access.2023.3238571

Robust Semi-Supervised Anomaly Detection via Adversarially Learned Continuous Noise Corruption (2023)
Presentation / Conference Contribution
Barker, J., Bhowmik, N., Gaus, Y., & Breckon, T. (2023, February). Robust Semi-Supervised Anomaly Detection via Adversarially Learned Continuous Noise Corruption. Presented at VISAPP 2023: 18th International Conference on Computer Vision Theory and Applications, Lisbon, Portugal

Anomaly detection is the task of recognising novel samples which deviate significantly from pre-established normality. Abnormal classes are not present during training meaning that models must learn effective representations solely across normal clas... Read More about Robust Semi-Supervised Anomaly Detection via Adversarially Learned Continuous Noise Corruption.

A Semi-Analytical Method For Measuring The Strain Energy Release Rates Of Elliptical Cracks (2023)
Presentation / Conference Contribution
Burhan, M., Scalici, T., Ullah, Z., Kazancı, Z., Falzon, B., & Catalanotti, G. (2023, July). A Semi-Analytical Method For Measuring The Strain Energy Release Rates Of Elliptical Cracks. Presented at Twenty-Third International Conference On Composite Materials (ICCM23), Belfast, UK

Comparison of ARIMA, FARIMA, and LSTM methods for day-ahead forecasting for scenario generation for wind power systems (2023)
Presentation / Conference Contribution
Parker, S., & Kazemtabrizi, B. (2023, December). Comparison of ARIMA, FARIMA, and LSTM methods for day-ahead forecasting for scenario generation for wind power systems. Paper presented at Wind Energy Science Conference (WESC) 2023, Glasgow, UK

An open-source Julia code for geotechnical MPM (2023)
Presentation / Conference Contribution
Gavin, N., Bird, R. E., Coombs, W. M., & Augarde, C. E. (2023, June). An open-source Julia code for geotechnical MPM. Presented at 10th European Conference on Numerical Methods in Geotechnical Engineering, London

There is considerable interest in the Material Point Method (MPM) in the computational geotechnics community since it can model problems involving large deformations, e.g. landslides, collapses etc. without being too far from the standard finite elem... Read More about An open-source Julia code for geotechnical MPM.

Stress-strain characteristics of autoclaved aerated concrete masonry under varying displacement rates (2023)
Journal Article
Devi, N. R., Zade, N. P., Dhir, P. K., & Sarkar, P. (2024). Stress-strain characteristics of autoclaved aerated concrete masonry under varying displacement rates. Journal of Building Engineering, 82, Article 108398. https://doi.org/10.1016/j.jobe.2023.108398

Assessing the techno-economic viability of a trigeneration system integrating ammonia-fuelled solid oxide fuel cell (2023)
Journal Article
Roy, D., Roy, S., Smallbone, A., & Roskilly, A. P. (2023). Assessing the techno-economic viability of a trigeneration system integrating ammonia-fuelled solid oxide fuel cell. Applied Energy, 357, Article 122463. https://doi.org/10.1016/j.apenergy.2023.122463

In recent years, ammonia has gained traction as a clean fuel alternative and a promising energy carrier. In this study, a trigeneration system fuelled by ammonia has been conceptualised, integrating a solid oxide fuel cell stack for power generation,... Read More about Assessing the techno-economic viability of a trigeneration system integrating ammonia-fuelled solid oxide fuel cell.

Radio Map-Based Cognitive Satellite-UAV Networks Towards 6G On-Demand Coverage (2023)
Journal Article
Feng, W., Lin, Y., Wang, Y., Wang, J., Chen, Y., Ge, N., Jin, S., & Zhu, H. (2024). Radio Map-Based Cognitive Satellite-UAV Networks Towards 6G On-Demand Coverage. IEEE Transactions on Cognitive Communications and Networking, 10(3), 1075-1089. https://doi.org/10.1109/TCCN.2023.3345857

The sixth generation (6G) network is envisioned to cover remote areas, with the help of satellites and unmanned aerial vehicles (UAVs). Considering the vastness of remote areas and the sparsity of users therein, we investigate a cognitive satellite-U... Read More about Radio Map-Based Cognitive Satellite-UAV Networks Towards 6G On-Demand Coverage.