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Streetsport: Supporting and facilitating the development of enhanced graduate attributes. (2019)
Presentation / Conference
CRADDOCK, C., ANTONIAZZI, F., MORRISON, S. et al. 2019. Streetsport: Supporting and facilitating the development of enhanced graduate attributes. Poster presented at the 2019 Department for the Enhancement of Learning, Teaching and Access (DELTA) Learning and teaching conference (LTC 2019): learning without borders, 02 May 2019, Aberdeen, UK.

Streetsport is a programme that aims to exercise social innovation by reducing instances of youth crime and anti-social behaviour; whilst promoting health and wellbeing through sport, physical activity and creative endeavour. As a vehicle for deliver... Read More about Streetsport: Supporting and facilitating the development of enhanced graduate attributes..

Artificial lift selection methods in conventional and unconventional wells: a summary and review from old techniques to machine learning applications. (2024)
Journal Article
MAHDI, M.A.A., AMISH, M. and OLUYEMI, G. 2024. Artificial lift selection methods in conventional and unconventional wells: a summary and review from old techniques to machine learning applications. International journal of innovative science and research technology [online], 9(3), pages 2342-2356. Available from: https://doi.org/10.38124/ijisrt/IJISRT24MAR2108

Artificial lift (AL) selection is an important process in enhancing oil and gas production from reservoirs. This article explores the old and current states of AL selection in conventional and unconventional wells, identifying the challenges faced in... Read More about Artificial lift selection methods in conventional and unconventional wells: a summary and review from old techniques to machine learning applications..

An improved Cauchy robust correction-sage Husa extended Kalman filtering algorithm for high-precision SOC estimation of Lithium-ion batteries in new energy vehicles. [Dataset] (2024)
Dataset
ZHU, C., WANG, S., YU, C., ZHOU, H., FERNANDEZ, C. and GUERRERO, J.M. 2024. An improved Cauchy robust correction-sage Husa extended Kalman filtering algorithm for high-precision SOC estimation of Lithium-ion batteries in new energy vehicles. [Dataset]. Journal of energy storage [online], 88, article number 111552. Available from: https://www.sciencedirect.com/science/article/pii/S2352152X2401137X?via%3Dihub#s0100

The accurate estimation of battery State of Charge (SOC) is a key technology in the research of electric vehicle battery management systems. In order to solve the problem of inaccurate noise estimation in nonlinear systems, an improved Cauchy robust... Read More about An improved Cauchy robust correction-sage Husa extended Kalman filtering algorithm for high-precision SOC estimation of Lithium-ion batteries in new energy vehicles. [Dataset].

An improved Cauchy robust correction-sage Husa extended Kalman filtering algorithm for high-precision SOC estimation of Lithium-ion batteries in new energy vehicles. (2024)
Journal Article
ZHU, C., WANG, S., YU, C., ZHOU, H., FERNANDEZ, C. and GUERRERO, J.M. 2024. An improved Cauchy robust correction-sage Husa extended Kalman filtering algorithm for high-precision SOC estimation of Lithium-ion batteries in new energy vehicles. Journal of energy storage [online], 88, article number 111552. Available from: https://doi.org/10.1016/j.est.2024.111552

The accurate estimation of battery State of Charge (SOC) is a key technology in the research of electric vehicle battery management systems. In order to solve the problem of inaccurate noise estimation in nonlinear systems, an improved Cauchy robust... Read More about An improved Cauchy robust correction-sage Husa extended Kalman filtering algorithm for high-precision SOC estimation of Lithium-ion batteries in new energy vehicles..

Large scoping reviews: managing volume and potential chaos in a pool of evidence sources. (2024)
Journal Article
ALEXANDER, L., COOPER, K., PETERS, M.D.J., TRICCO, A.C., KHALIL, H., EVANS, C., MUNN, Z., PIEPER, D., GODFREY, C.M., MCINERNEY, P. and POLLOCK, D. [2024]. Large scoping reviews: managing volume and potential chaos in a pool of evidence sources. Journal of clinical epidemiology [online], Articles in Press. Available from: https://doi.org/10.1016/j.jclinepi.2024.111343

Scoping reviews can identify a large number of evidence sources. This commentary describes and provides guidance on planning, conducting, and reporting large scoping reviews. This guidance is informed by experts in scoping review methodology, includi... Read More about Large scoping reviews: managing volume and potential chaos in a pool of evidence sources..