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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

Machine Learning in Oil and Gas Exploration: A Review (2024)
Journal Article
Lawal, A., Yang, Y., He, H., & Baisa, N. L. (2024). Machine Learning in Oil and Gas Exploration: A Review. IEEE Access, 12, 19035-19058. https://doi.org/10.1109/access.2023.3349216

A comprehensive assessment of machine learning applications is conducted to identify the developing trends for Artificial Intelligence (AI) applications in the oil and gas sector, specifically focusing on geological and geophysical exploration and re... Read More about Machine Learning in Oil and Gas Exploration: A Review.

Sociologies of Interaction (2013)
Book
Philburn, R. (2013). Sociologies of Interaction. Cambridge: Polity

Social interaction lies at the heart of our everyday experience. We make our way down the street and avoid crashing into others, take our place in the supermarket queue, take care in the way we talk about others in conversation, acknowledge the socia... Read More about Sociologies of Interaction.

Domain Independent Adaptive Histogram Based Features for Pomegranate Fruit and Leaf Diseases Classification Double blind (2024)
Journal Article
Palaiahnakote, S. (in press). Domain Independent Adaptive Histogram Based Features for Pomegranate Fruit and Leaf Diseases Classification Double blind. #Journal not on list,

Disease identification for fruits and leaves in the field of agriculture is important for estimating production, crop yield and earnings for farmers. In the specific case of pomegranates, this is challenging because of the wide range of possible dise... Read More about Domain Independent Adaptive Histogram Based Features for Pomegranate Fruit and Leaf Diseases Classification Double blind.