Skip to main content

Research Repository

Advanced Search


Welcome to Repository@Hull

The Repository@Hull is intended to be an Open Access showcase for the published research output of the university. Whenever possible, refereed documents accepted for publication, or finished artistic compositions presented in public, will be made available here in full digital format, and hyperlinks to standard published versions will be provided.



Latest Additions

Principles of the Professional Nurse Advocate and A-EQUIP Model to Improve Health Visitors’ Wellbeing (2023)
Journal Article
Jennison, L., & Walker, J. (2023). Principles of the Professional Nurse Advocate and A-EQUIP Model to Improve Health Visitors’ Wellbeing. Journal of Health Visiting, 11(5), 196-202. https://doi.org/10.12968/johv.2023.11.5.196

This review explores the current literature and the complex challenges faced by the health visiting workforce. The A-EQUIP model and the implementation of the professional nurse advocate role for nurses is investigated.

A case study of collaborative learning among preparatory year students and their teachers at Hail University in Saudi Arabia (2022)
Thesis
Alali, F. (2022). A case study of collaborative learning among preparatory year students and their teachers at Hail University in Saudi Arabia. (Thesis). University of Hull. Retrieved from https://hull-repository.worktribe.com/output/4302369

The concept of collaborative learning (CL) relates to the educational use of small groups, in which students work together to maximise their learning and to teach and learn from each other as much as possible, after receiving guidelines and instructi... Read More about A case study of collaborative learning among preparatory year students and their teachers at Hail University in Saudi Arabia.

Using Citizen Science to Complement IoT Data Collection: A Survey of Motivational and Engagement Factors in Technology-Centric Citizen Science Projects (2021)
Journal Article
Ali, M. U., Mishra, B. K., Thakker, D., Mazumdar, S., & Simpson, S. (2021). Using Citizen Science to Complement IoT Data Collection: A Survey of Motivational and Engagement Factors in Technology-Centric Citizen Science Projects. IoT, 2(2), 275-309. https://doi.org/10.3390/iot2020015

A key aspect of the development of Smart Cities involves the efficient and effective management of resources to improve liveability. Achieving this requires large volumes of sensors strategically deployed across urban areas. In many cases, however, i... Read More about Using Citizen Science to Complement IoT Data Collection: A Survey of Motivational and Engagement Factors in Technology-Centric Citizen Science Projects.

A novel application of deep learning with image cropping: a smart city use case for flood monitoring (2020)
Journal Article
Mishra, B. K., Thakker, D., Mazumdar, S., Neagu, D., Gheorghe, M., & Simpson, S. (2020). A novel application of deep learning with image cropping: a smart city use case for flood monitoring. Journal of Reliable Intelligent Environments, 6(1), 51-61. https://doi.org/10.1007/s40860-020-00099-x

Event monitoring is an essential application of Smart City platforms. Real-time monitoring of gully and drainage blockage is an important part of flood monitoring applications. Building viable IoT sensors for detecting blockage is a complex task due... Read More about A novel application of deep learning with image cropping: a smart city use case for flood monitoring.

Explainable artificial intelligence for developing smart cities solutions (2020)
Journal Article
Thakker, D., Mishra, B. K., Abdullatif, A., Mazumdar, S., & Simpson, S. (2020). Explainable artificial intelligence for developing smart cities solutions. Smart Cities, 3(4), 1353-1382. https://doi.org/10.3390/smartcities3040065

Traditional Artificial Intelligence (AI) technologies used in developing smart cities solutions, Machine Learning (ML) and recently Deep Learning (DL), rely more on utilising best representative training datasets and features engineering and less on... Read More about Explainable artificial intelligence for developing smart cities solutions.