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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.

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.

Adversarial attacking and defensing modulation recognition with deep learning in cognitive radio-enabled IoT (2023)
Journal Article
Zhang, Z., Ma, L., Liu, M., Chen, Y., & Zhao, N. (2024). Adversarial attacking and defensing modulation recognition with deep learning in cognitive radio-enabled IoT. IEEE Internet of Things Journal, 11(8), 14949-14962. https://doi.org/10.1109/JIOT.2023.3345937

Modulation recognition using deep learning (DL) can efficiently recognize modulated signals in cognitive radio-enabled Internet of Things (IoT). However, it is vulnerable to the attack of adversarial examples designed by attackers, leading to a decre... Read More about Adversarial attacking and defensing modulation recognition with deep learning in cognitive radio-enabled IoT.

Low-complexity Tomlinson-Harashima precoding update algorithm for massive MIMO system (2023)
Journal Article
Fang, Y., Chen, L., Chen, Y., Yin, H., & Wei, G. (2024). Low-complexity Tomlinson-Harashima precoding update algorithm for massive MIMO system. IEEE Transactions on Communications, 72(4), 2063-2078. https://doi.org/10.1109/TCOMM.2023.3345419

Efficient implementation of Tomlinson-Harashima precoding (THP) is crucial in massive multiple-input-multiple-output (MIMO) systems with a large number of antennas at the base station (BS) serving many user equipments (UEs). To address the high compu... Read More about Low-complexity Tomlinson-Harashima precoding update algorithm for massive MIMO system.

Self-supervised adaptive weighting for cooperative perception in V2V communications (2023)
Journal Article
Liu, C., Chen, J., Chen, Y., Payton, R., Riley, M., & Yang, S.-H. (2024). Self-supervised adaptive weighting for cooperative perception in V2V communications. IEEE Transactions on Intelligent Vehicles, 9(2), 3569-3580. https://doi.org/10.1109/TIV.2023.3345035

Perception of the driving environment is critical for collision avoidance and route planning to ensure driving safety. Cooperative perception has been widely studied as an effective approach to addressing the shortcomings of single-vehicle perception... Read More about Self-supervised adaptive weighting for cooperative perception in V2V communications.

A new convolutional neural network based on combination of circlets and wavelets for macular OCT classification (2023)
Journal Article
Arian, R., Vard, A., Kafieh, R., Plonka, G., & Rabbani, H. (2023). A new convolutional neural network based on combination of circlets and wavelets for macular OCT classification. Scientific Reports, 13(1), Article 22582. https://doi.org/10.1038/s41598-023-50164-7

Artificial intelligence (AI) algorithms, encompassing machine learning and deep learning, can assist ophthalmologists in early detection of various ocular abnormalities through the analysis of retinal optical coherence tomography (OCT) images. Despit... Read More about A new convolutional neural network based on combination of circlets and wavelets for macular OCT classification.

Towards a radiation free numerical modelling framework to predict spring assisted correction of scaphocephaly (2023)
Journal Article
Garate Andikoetxea, B., Ajami, S., Rodriguez-Florez, N., Jeelani, N. U. O., Dunaway, D., Schievano, S., & Borghi, A. (2023). Towards a radiation free numerical modelling framework to predict spring assisted correction of scaphocephaly. Computer Methods in Biomechanics and Biomedical Engineering, https://doi.org/10.1080/10255842.2023.2294262

Sagittal Craniosynostosis (SC) is a congenital craniofacial malformation, involving premature sagittal suture ossification; spring-assisted cranioplasty (SAC) - insertion of metallic distractors for skull reshaping - is an established method for trea... Read More about Towards a radiation free numerical modelling framework to predict spring assisted correction of scaphocephaly.

Millimeter-Wave Massive MU-MIMO Performance Analysis for Private Underground Mine Communications (2023)
Journal Article
Hadji, S. E., Nedil, M., Seddiki, M. L., & Mabrouk, I. B. (2024). Millimeter-Wave Massive MU-MIMO Performance Analysis for Private Underground Mine Communications. IEEE Transactions on Antennas and Propagation, 72(2), 1792-1803. https://doi.org/10.1109/tap.2023.3340301

In this article, a performance analysis of millimeter wave (mmWave) massive multiuser multiple-input and multiple-output (MU-MIMO) channel within an underground mine is performed. The analysis is based on channel measurements conducted at 28 GHz usin... Read More about Millimeter-Wave Massive MU-MIMO Performance Analysis for Private Underground Mine Communications.

Task-Oriented Satellite-UAV Networks With Mobile-Edge Computing (2023)
Journal Article
Wei, P., Feng, W., Chen, Y., Ge, N., Xiang, W., & Mao, S. (2024). Task-Oriented Satellite-UAV Networks With Mobile-Edge Computing. IEEE Open Journal of the Communications Society, 5, 202-220. https://doi.org/10.1109/ojcoms.2023.3341251

Networked robots have become crucial for unmanned applications since they can collaborate to complete complex tasks in remote/hazardous/depopulated areas. Due to the cost inefficiency of deploying cellular network infrastructure in these areas, hybri... Read More about Task-Oriented Satellite-UAV Networks With Mobile-Edge Computing.

Nanostructured Channel for Improving Emission Efficiency of Hybrid Light-Emitting Field-Effect Transistors (2023)
Journal Article
Galán-González, A., Pander, P., MacKenzie, R. C. I., Bowen, L., Zeze, D. A., Borthwick, R. J., …Chaudhry, M. U. (2023). Nanostructured Channel for Improving Emission Efficiency of Hybrid Light-Emitting Field-Effect Transistors. ACS Photonics, 10(12), 4315-4321. https://doi.org/10.1021/acsphotonics.3c01080

We report on the mechanism of enhancing the luminance and external quantum efficiency (EQE) by developing nanostructured channels in hybrid (organic/inorganic) light-emitting transistors (HLETs) that combine a solution-processed oxide and a polymer h... Read More about Nanostructured Channel for Improving Emission Efficiency of Hybrid Light-Emitting Field-Effect Transistors.

Numerical Simulation of the Response of an Unreinforced Brick-Masonry Cross Vault Subjected to Seismic Loading (2023)
Journal Article
Chácara, C., Pantò, B., Cannizzaro, F., Rapicavoli, D., & Caliò, I. (2023). Numerical Simulation of the Response of an Unreinforced Brick-Masonry Cross Vault Subjected to Seismic Loading. International Journal of Architectural Heritage: Conservation, Analysis and Restoration, https://doi.org/10.1080/15583058.2023.2290037

This paper presents the numerical evaluation of the seismic response of a masonry cross vault using the Discrete Macro-Element Method (DMEM). The case study corresponded to a full-scale unstrengthened cross vault that was experimentally investigated... Read More about Numerical Simulation of the Response of an Unreinforced Brick-Masonry Cross Vault Subjected to Seismic Loading.

Knowledge Distillation Based Semantic Communications For Multiple Users (2023)
Journal Article
Liu, C., Zhou, Y., Chen, Y., & Yang, S. (2023). Knowledge Distillation Based Semantic Communications For Multiple Users. IEEE Transactions on Wireless Communications, https://doi.org/10.1109/TWC.2023.3336941

Deep learning (DL) has shown great potential in revolutionizing the traditional communications system. Many applications in communications have adopted DL techniques due to their powerful representation ability. However, the learning-based methods ca... Read More about Knowledge Distillation Based Semantic Communications For Multiple Users.

Spring-assisted posterior vault expansion: a parametric study to improve the intracranial volume increase prediction (2023)
Journal Article
Deliège, L., Ramdat Misier, K., Silva, D., James, G., Ong, J., Dunaway, D., …Borghi, A. (2023). Spring-assisted posterior vault expansion: a parametric study to improve the intracranial volume increase prediction. Scientific Reports, 13(1), Article 21371. https://doi.org/10.1038/s41598-023-48143-z

Spring-assisted posterior vault expansion has been adopted at the London Great Ormond Street Hospital for Children to treat raised intracranial pressure in patients affected by syndromic craniosynostosis, a congenital calvarial anomaly causing the pr... Read More about Spring-assisted posterior vault expansion: a parametric study to improve the intracranial volume increase prediction.

Machine Learning for Ultra High Throughput Screening of Organic Solar Cells: Solving the Needle in the Haystack Problem (2023)
Journal Article
Hußner, M., Pacalaj, R. A., Olaf Müller‐Dieckert, G., Liu, C., Zhou, Z., Majeed, N., …MacKenzie, R. C. I. (2023). Machine Learning for Ultra High Throughput Screening of Organic Solar Cells: Solving the Needle in the Haystack Problem. Advanced Energy Materials, https://doi.org/10.1002/aenm.202303000

Over the last two decades the organic solar cell community has synthesized tens of thousands of novel polymers and small molecules in the search for an optimum light harvesting material. These materials are often crudely evaluated simply by measuring... Read More about Machine Learning for Ultra High Throughput Screening of Organic Solar Cells: Solving the Needle in the Haystack Problem.

An implicit Material Point Method for micropolar solids undergoing large deformations (2023)
Journal Article
O'Hare, T., Gourgiotis, P., Coombs, W., & Augarde, C. (2024). An implicit Material Point Method for micropolar solids undergoing large deformations. Computer Methods in Applied Mechanics and Engineering, 419, Article 116668. https://doi.org/10.1016/j.cma.2023.116668

Modelling the mechanical behaviour of structural systems where the system size approaches that of the material microstructure (such as in MEMS) presents challenges to the standard continuum assumption and classical models can fail to predict importan... Read More about An implicit Material Point Method for micropolar solids undergoing large deformations.