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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

Thermodynamic and structural investigation of oily wastewater treatment using peach kernel and walnut shell based activated carbon (2024)
Journal Article
El Jery, A., Khedher, K. M., Mahmood Salman, H., Al-Ansari, N., Sammen, S. S., & Scholz, M. (in press). Thermodynamic and structural investigation of oily wastewater treatment using peach kernel and walnut shell based activated carbon. PloS one, 19(5), e0297024. https://doi.org/10.1371/journal.pone.0297024

Despite the many articles about activated carbon with different precursors in adsorption process, no in-depth research has been carried out to understand the causes of the difference in surface adsorption characteristics of activated carbon with diff... Read More about Thermodynamic and structural investigation of oily wastewater treatment using peach kernel and walnut shell based activated carbon.

Pre-treatment assessment of chemotherapy for cancer patients: a multi-site evidence implementation project of 74 hospitals in China (2024)
Journal Article
Lai, J., Pilla, B., Stephenson, M., Brettle, A., Zhou, C., Li, W., …Wu, Y. (in press). Pre-treatment assessment of chemotherapy for cancer patients: a multi-site evidence implementation project of 74 hospitals in China. BMC Nursing, 23(1), 320. https://doi.org/10.1186/s12912-024-01997-8

Background: Chemotherapy, whilst treating tumours, can also lead to numerous adverse reactions such as nausea and vomiting, fatigue and kidney toxicity, threatening the physical and mental health of patients. Simultaneously, misuse of chemotherapeuti... Read More about Pre-treatment assessment of chemotherapy for cancer patients: a multi-site evidence implementation project of 74 hospitals in China.

Integrated approach of federated learning with transfer learning for classification and diagnosis of brain tumor (2024)
Journal Article
Albalawi, E., T.R., M., Thakur, A., Kumar, V. V., Gupta, M., Khan, S. B., & Almusharraf, A. (in press). Integrated approach of federated learning with transfer learning for classification and diagnosis of brain tumor. BMC Medical Imaging, 24(1), 110. https://doi.org/10.1186/s12880-024-01261-0

Brain tumor classification using MRI images is a crucial yet challenging task in medical imaging. Accurate diagnosis is vital for effective treatment planning but is often hindered by the complex nature of tumor morphology and variations in imaging.... Read More about Integrated approach of federated learning with transfer learning for classification and diagnosis of brain tumor.

An Improved Extreme Learning Machine (ELM) Algorithm for Intent Recognition of Transfemoral Amputees With Powered Knee Prosthesis (2024)
Journal Article
Zhang, Y., Wang, X., Xiu, H., Chen, W., Ma, Y., Wei, G., …Ren, L. (2024). An Improved Extreme Learning Machine (ELM) Algorithm for Intent Recognition of Transfemoral Amputees With Powered Knee Prosthesis. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 32, 1757-1766. https://doi.org/10.1109/tnsre.2024.3394618

To overcome the challenges posed by the complex structure and large parameter requirements of existing classification models, the authors propose an improved extreme learning machine (ELM) classifier for human locomotion intent recognition in this st... Read More about An Improved Extreme Learning Machine (ELM) Algorithm for Intent Recognition of Transfemoral Amputees With Powered Knee Prosthesis.

Investigating attention mechanisms for plant disease identification in challenging environments. (2024)
Journal Article
Duhan, S., Gulia, P., Gill, N. S., Shukla, P. K., Khan, S. B., Almusharraf, A., & Alkhaldi, N. (2024). Investigating attention mechanisms for plant disease identification in challenging environments. Heliyon, 10(9), e29802. https://doi.org/10.1016/j.heliyon.2024.e29802

There is an increasing demand for efficient and precise plant disease detection methods that can quickly identify disease outbreaks. For this, researchers have developed various machine learning and image processing techniques. However, real-field im... Read More about Investigating attention mechanisms for plant disease identification in challenging environments..