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Welcome to USIR

Welcome to the University of Salford repository (USIR), an Open Access showcase for the published research output of the university. Our collection contains a wide range of research across multiple formats and subject areas.

Whenever possible, outputs will be made openly available here in full digital format for download, with many under a Creative Commons license. See our Policies for further information https://salford-repository.worktribe.com/policies.



Latest Additions

DDoSViT: IoT DDoS Attack Detection for Fortifying Firmware Over-The-Air (OTA) Updates Using Vision Transformer (2025)
Dataset
Mughal, A., Saleem, Y., Hina, S., & A. Shah, G. (2025). DDoSViT: IoT DDoS Attack Detection for Fortifying Firmware Over-The-Air (OTA) Updates Using Vision Transformer. [Dataset]. https://doi.org/10.17866/rd.salford.28138010.v1

The widespread adoption of Internet of Things (IoT) devices has introduced numerous vulnerabilities, particularly in firmware over-the-air (OTA) updates. These updates are essential for improving device functionality and addressing security vulnerabi... Read More about DDoSViT: IoT DDoS Attack Detection for Fortifying Firmware Over-The-Air (OTA) Updates Using Vision Transformer.

An efficientnet-based model for classification of oil palm, coconut and banana trees in drone images (2025)
Journal Article
Kim Teo, K., Fazmidar Binti Mohd Noor, N., Palaiahnakote, S., & Nizam Bin Ayub, M. (2025). An efficientnet-based model for classification of oil palm, coconut and banana trees in drone images. #Journal not on list, 10, https://doi.org/10.1016/j.atech.2024.100748

Oil palm tree detection and classification from coconut and banana trees is vital for increasing the production of oil palm businesses globally, particularly in Malaysia. Since oil palm, coconut, and banana trees share common characteristics such as... Read More about An efficientnet-based model for classification of oil palm, coconut and banana trees in drone images.

Quantifying the benefits of incorporating biochar in green roof substrates: field study on the highrise rooftop in temperate climate setting (2025)
Journal Article
Petreje, M., Sněhota, M., Šípek, V., Hnátková, T., Punčochář, J., Buchtelík, S., …Trakal, L. (2025). Quantifying the benefits of incorporating biochar in green roof substrates: field study on the highrise rooftop in temperate climate setting. #Journal not on list, 7(1), 7. https://doi.org/10.1007/s42773-024-00409-z

Biochar is a promising material with a wide range of applications. One area of application is as an additive in substrates for green roofs. Green roofs are a way of mitigating climate change, with biochar offering an opportunity to further enhance th... Read More about Quantifying the benefits of incorporating biochar in green roof substrates: field study on the highrise rooftop in temperate climate setting.

Dataset for Triaxial Repeated Load Test (2024)
Dataset
Alashaibi, A., Albayati, A., Wang, Y., & Al-tameemi, A. (2024). Dataset for Triaxial Repeated Load Test. [Dataset]

Data was collected from Triaxial repeated load tests on 54 asphalt concrete samples to investigate factors influencing permanent deformation in asphalt concrete pavements. The experiments explored a variety of testing conditions including three tempe... Read More about Dataset for Triaxial Repeated Load Test.