Skip to main content

Research Repository

Advanced Search


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

An Adaptive Xception Model for Classification of Brain Tumors (2024)
Journal Article
Thakur, A., Bhatia Khan, S., Palaiahnakote, S., Kumar V, V., Almusharraf, A., & Mashat, A. (in press). An Adaptive Xception Model for Classification of Brain Tumors. International Journal of Pattern Recognition and Artificial Intelligence,

Classification of different brain tumors is challenging due to unpredictable variations in intra-inter-classes. Unlike existing methods which are not effective for images of complex backgrounds, the proposed work aims at accurate classification of di... Read More about An Adaptive Xception Model for Classification of Brain Tumors.

Dietary Exposure of Arsenic Due to Mining Activities and the Plight to Human Health: an Assessment Through Multimodal Statistical Approaches (2024)
Journal Article
Chakraborty, S., Ghosh, S., Prajapati, J., Mandal, J., & Bhattacharyya, P. (2024). Dietary Exposure of Arsenic Due to Mining Activities and the Plight to Human Health: an Assessment Through Multimodal Statistical Approaches. Exposure and Health, https://doi.org/10.1007/s12403-024-00639-3

This study aims to investigate the potential risk of As contamination in rice cultivated in agricultural fields affected by mica mining in Jharkhand, India. For this purpose, soil and rice grain samples were collected from the agricultural fields 500... Read More about Dietary Exposure of Arsenic Due to Mining Activities and the Plight to Human Health: an Assessment Through Multimodal Statistical Approaches.

Angie Chen: Hong Kong Film Pioneer (2023)
Book Chapter
Willis, A. (2023). Angie Chen: Hong Kong Film Pioneer. In F. Chan, F. Elliott, & A. Willis (Eds.), Women in East Asian Cinema: Gender representations, creative labour and global histories (153-165). Edinburgh: Edinburgh University Press

Women in East Asian Cinema: Gender representations, creative labour and global histories (2023)
Book
Chan, F., Elliott, F., & Willis, A. (Eds.). (2023). Women in East Asian Cinema: Gender representations, creative labour and global histories. Edinburgh: Edinburgh University Press

Examines the work of women in East Asian Cinema in front of and behind the screen Highlights understudied areas on women’s contributions to film – East Asian film in particular Highlights importance of re-historicising women’s creative labour in fi... Read More about Women in East Asian Cinema: Gender representations, creative labour and global histories.

Source Term-Based Turbulent Flow Simulation on GPU with Link-Wise Artificial Compressibility Method (2021)
Journal Article
Fan, S., Santasmasas, M. C., Guo, X., Yang, C., & Revell, A. (2021). Source Term-Based Turbulent Flow Simulation on GPU with Link-Wise Artificial Compressibility Method. International Journal of Computational Fluid Dynamics, 35(7), 549-561. https://doi.org/10.1080/10618562.2021.1980212

We present a GPU-based turbulent flow simulation by link-wise artificial compressibility method (LW-ACM). The standard implementations of the lattice Boltzmann method are limited by memory requirements due to the nature of the distribution functions... Read More about Source Term-Based Turbulent Flow Simulation on GPU with Link-Wise Artificial Compressibility Method.