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Welcome to OpenAIR@RGU

OpenAIR@RGU is the open access institutional repository of Robert Gordon University. It contains examples of research outputs produced by staff and research students, as well as related information about the university's funded projects and staff research interests. Further information is available in the repository policy. Any questions about submissions to the repository or problems with access to any of its content should be sent to the Publications Team at publications@rgu.ac.uk



Latest Additions

A novel fireworks factor and improved elite strategy based on back propagation neural networks for state-of-charge estimation of lithium-ion batteries. (2021)
Journal Article
CHEN, X., WANG, S., XIE, Y., FERNANDEZ, C. and FAN, Y. 2021. A novel fireworks factor and improved elite strategy based on back propagation neural networks for state-of-charge estimation of lithium-ion batteries. International journal of electrochemical science [online], 16(9), article 210948. Available from: https://doi.org/10.20964/2021.08.07

The state of charge (SOC) of Lithium-ion battery is one of the key parameters of the battery management system. In the SOC estimation algorithm, the Back Propagation (BP) neural network algorithm is easy to converge to the local optimal solution, whi... Read More about A novel fireworks factor and improved elite strategy based on back propagation neural networks for state-of-charge estimation of lithium-ion batteries..

A linear recursive state of power estimation for fusion model component analysis with constant sampling time. (2021)
Journal Article
LI, B., WANG, S., FERNANDEZ, C., YU, C., SHI, W. and FAN, Y. 2021. A linear recursive state of power estimation for fusion model component analysis with constant sampling time. International journal of electrochemical science [online], 16(9), article 210920. Available from: https://doi.org/10.20964/2021.09.14

The state of power of lithium-ion batteries, as the main product of choice for electric and hybrid electric vehicle energy storage systems, is one of the precise feedback control parameters for the battery management system. The proposed research est... Read More about A linear recursive state of power estimation for fusion model component analysis with constant sampling time..

Student and pre-registration pharmacist performance in a UK prescribing assessment. (2021)
Journal Article
POWER, A., STEWART, D., CRAIG, G., BOYTER, A., REID, F., STEWART, F., CUNNINGHAM, S. and MAXWELL, S. 2021. Student and pre-registration pharmacist performance in a UK prescribing assessment. International journal of clinical pharmacy [online], Latest articles. Available from: https://doi.org/10.1007/s11096-021-01317-z

Student and pre-registration pharmacist performance in a UK Prescribing Assessment’: room for improvement and need for curricular change Background Increasingly the global policy direction is for patient-facing pharmacist prescribers. The ‘UK Prescri... Read More about Student and pre-registration pharmacist performance in a UK prescribing assessment..

Multi-head attention-based long short-term memory for depression detection from speech. (2021)
Journal Article
ZHAO, Y., LIANG, Z., DU, J., ZHANG, L., LIU, C. and ZHAO, L. 2021. Multi-head attention-based long short-term memory for depression detection from speech. Frontiers in neurorobotics [online], 15, article 684037. Available from: https://doi.org/10.3389/fnbot.2021.684037

Depression is a mental disorder that threatens the health and normal life of people. Hence, it is essential to provide an effective way to detect depression. However, research on depression detection mainly focuses on utilizing different parallel fea... Read More about Multi-head attention-based long short-term memory for depression detection from speech..

Optical fibre-based sensors for oil and gas applications. (2021)
Journal Article
JOHNY, J., AMOS, S. and PRABHU, R. 2021. Optical fibre-based sensors for oil and gas applications. Sensors [online], 21(8), article 6047. Available from: https://doi.org/10.3390/s21186047

Oil and gas (O&G) explorations moving into deeper zones for enhanced oil and gas recovery are causing serious safety concerns across the world. The sensing of critical multiple parameters like high pressure, high temperature (HPHT), chemicals, etc.,... Read More about Optical fibre-based sensors for oil and gas applications..