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Outputs (612)

Privacy challenges for Internet of Medical Things (2024)
Book Chapter
Tahir, S., Li, Y., Barati, M., Rana, O., Ranjan, R., Aujla, G. S., & Duodu, K. A. (2024). Privacy challenges for Internet of Medical Things. In R. Ranjan, K. Mitra, P. P. Jayaraman, & A. Y. Zomaya (Eds.), Managing Internet of Things Applications across Edge and Cloud Data Centres (223-238). Institution of Engineering and Technology (IET). https://doi.org/10.1049/pbpc027e_ch9

The Internet of Medical Things (IoMT) can be used to support the remote monitoring of patients using communication and sensing technologies. Security and privacy concerns in IoMT related to patient data are important issues for regulatory bodies, req... Read More about Privacy challenges for Internet of Medical Things.

20 mph speed limits: A meta-narrative evidence synthesis of the public health evidence (2024)
Book Chapter
van Erpecum, C.-P. L., Bornioli, A., Cleland, C., Jones, S., Davis, A., den Braver, N. R., & Pilkington, P. (2024). 20 mph speed limits: A meta-narrative evidence synthesis of the public health evidence. In J. S. Mindell, & S. J. Watkin (Eds.), Health on the Move 3: The Reviews (167-195). Elsevier. https://doi.org/10.1016/bs.atpp.2023.12.001

Twenty mile per hour (20 mph) or 30 kph speed limit interventions are increasingly common in a wide range of European cities. Importantly, 20 mph or 30 kph speed limit interventions may not only reduce road danger, but also positively contribute to b... Read More about 20 mph speed limits: A meta-narrative evidence synthesis of the public health evidence.

A Two-branch Edge Guided Lightweight Network for infrared image saliency detection (2024)
Journal Article
Liu, Z., Li, X., Zhang, T., Zhang, X., Sun, C., Rehman, S. U., & Ahmad, J. (2024). A Two-branch Edge Guided Lightweight Network for infrared image saliency detection. Computers and Electrical Engineering, 118(Part A), Article 109296. https://doi.org/10.1016/j.compeleceng.2024.109296

In the dynamic landscape of saliency detection, convolutional neural networks have emerged as catalysts for innovation, but remain largely tailored for RGB imagery, falling short in the context of infrared images, particularly in memory-restricted en... Read More about A Two-branch Edge Guided Lightweight Network for infrared image saliency detection.

Knowledge, Attitude and Practices of energy utilisation behaviours: A study of residential building occupants (2024)
Journal Article
Tilde, A. I., & Fernando, N. G. (2024). Knowledge, Attitude and Practices of energy utilisation behaviours: A study of residential building occupants. Built Environment Project and Asset Management, 14(3), 349-365. https://doi.org/10.1108/bepam-01-2023-0008

Purpose
This study aims to assess residential energy consumption knowledge, attitudes, and practices in Abuja Municipality, providing insights for effective conservation strategies, reducing costs and mitigating environmental impact.
Design/methodo... Read More about Knowledge, Attitude and Practices of energy utilisation behaviours: A study of residential building occupants.

How thermal treatment affects the chemical composition and the physical, mechanical and swelling properties of Scots pine juvenile and mature wood (2024)
Journal Article
Broda, M., Popescu, C.-M., Poszwa, K., & Roszyk, E. (2024). How thermal treatment affects the chemical composition and the physical, mechanical and swelling properties of Scots pine juvenile and mature wood. Wood science and technology, 58(3), 1153-1180. https://doi.org/10.1007/s00226-024-01561-2

High variations in juvenile wood properties in the radial direction and its worse performance than mature wood make it less suitable for some applications and often treated as waste material. This study aimed to assess how thermal modification affect... Read More about How thermal treatment affects the chemical composition and the physical, mechanical and swelling properties of Scots pine juvenile and mature wood.

Reproducing Human Evaluation of Meaning Preservation in Paraphrase Generation (2024)
Presentation / Conference Contribution
Watson, L. N., & Gkatzia, D. (2024, May). Reproducing Human Evaluation of Meaning Preservation in Paraphrase Generation. Presented at HumEval2024 at LREC-COLING 2024, Turin, Italy

Reproducibility is a cornerstone of scientific research, ensuring the reliability and generalisability of findings. The ReproNLP Shared Task on Reproducibility of Evaluations in NLP aims to assess the reproducibility of human evaluation studies. This... Read More about Reproducing Human Evaluation of Meaning Preservation in Paraphrase Generation.

DDformer: Dimension decomposition transformer with semi-supervised learning for underwater image enhancement (2024)
Journal Article
Gao, Z., Yang, J., Jiang, F., Jiao, X., Dashtipour, K., Gogate, M., & Hussain, A. (2024). DDformer: Dimension decomposition transformer with semi-supervised learning for underwater image enhancement. Knowledge-Based Systems, 297, Article 111977. https://doi.org/10.1016/j.knosys.2024.111977

Vision-guided Autonomous Underwater Vehicles (AUVs) have gradually become significant tools for human exploration of the ocean. However, distorted images severely limit the visual ability, making it difficult to meet the needs of complex underwater e... Read More about DDformer: Dimension decomposition transformer with semi-supervised learning for underwater image enhancement.

Lead-Free NaNbO 3 -Based Ceramics for Electrostatic Energy Storage Capacitors (2024)
Journal Article
Soheli, S. N., Lu, Z., Sun, D., & Shyha, I. (2024). Lead-Free NaNbO 3 -Based Ceramics for Electrostatic Energy Storage Capacitors. Ceramics, 7(2), 712-734. https://doi.org/10.3390/ceramics7020047

The burgeoning significance of antiferroelectric (AFE) materials, particularly as viable candidates for electrostatic energy storage capacitors in power electronics, has sparked substantial interest. Among these, lead-free sodium niobate (NaNbO3) AFE... Read More about Lead-Free NaNbO 3 -Based Ceramics for Electrostatic Energy Storage Capacitors.

ACNN-IDS: An Attention-Based CNN for Cyberattack Detection in IoT (2024)
Presentation / Conference Contribution
Huma, Z. E., Ahmad, J., Hamadi, H. A., Ghaleb, B., Buchanan, W. J., & Jan, S. U. (2024, February). ACNN-IDS: An Attention-Based CNN for Cyberattack Detection in IoT. Presented at 2024 2nd International Conference on Cyber Resilience (ICCR), Dubai, United Arab Emirates

The Internet of Things (IoT) has become an integral part of modern societies, with devices, networks, and applications offering industrial, economic, and social benefits. However, these devices and networks generate vast amounts of data, making them... Read More about ACNN-IDS: An Attention-Based CNN for Cyberattack Detection in IoT.