An innovative multitask learning: long short-term memory neural network for the online anti-aging state of charge estimation of lithium-ion batteries adaptive to varying temperature and current conditions.

Tao, Junjie; Wang, Shunli; Cao, Wen; Fernandez, Carlos; Blaabjerg, Frede; Cheng, Liangwei

doi:10.1016/j.energy.2024.134272

Implementation of medication reviews in German community pharmacies. (2024)
Thesis
MICHEL, D.E.A. 2024. Implementation of medication reviews in German community pharmacies. Robert Gordon University, PhD thesis. Hosted on OpenAIR [online]. Available from: https://doi.org/10.48526/rgu-wt-2795705

Inappropriate polypharmacy can pose a major risk to individuals' health and thus entail unnecessary costs for health systems. With globally ageing societies, polypharmacy is on the rise. The World Health Organization (WHO) and the national German act... Read More about Implementation of medication reviews in German community pharmacies..

Advancing sepsis treatment: synthesis and evaluation of multi-target drugs with antimicrobial, antioxidant and anticoagulant properties. (2024)
Thesis
WEST, J.E. 2024. Advancing sepsis treatment: synthesis and evaluation of multi-target drugs with antimicrobial, antioxidant and anticoagulant properties. Robert Gordon University, MRes thesis. Hosted on OpenAIR [online]. Available from: https://doi.org/10.48526/rgu-wt-2795403

Sepsis is a complex disease that affects individuals of all ages but is particularly dangerous for vulnerable populations, such as newborns, the elderly and those with weakened immune systems. It is triggered by infection, leading to hyperinflammatio... Read More about Advancing sepsis treatment: synthesis and evaluation of multi-target drugs with antimicrobial, antioxidant and anticoagulant properties..

Group proceedings, negligence and res judicata in Scotland. (2024)
Journal Article
MANTE, J. and ARNELL, P. 2024. Group proceedings, negligence and res judicata in Scotland. Journal of professional negligence [online], 40(4), pages 177-183. Available from: https://www.bloomsburyprofessionalonline.com/view/journal_prof_negl/b-17466709_40-4-0000558.xml

This article discusses McCluskey v Scott Wilson Scotland Ltd (OH) on the extent to which an individual in a group action, which had sought personal injury damages against a civil engineering company for alleged negligence in the inspection and remedi... Read More about Group proceedings, negligence and res judicata in Scotland..

From assistance to misconduct: unpacking the complex role of generative AI in student learning. (2024)
Presentation / Conference Contribution
AXELSSON, A., WALLGREN, D.T., VERMA., U., CAJANDER, Å., DANIELS, M., ECKERDAL, A. and MCDERMOTT, R. 2024. From assistance to misconduct: unpacking the complex role of generative AI in student learning. In Proceedings of the 2024 IEEE (Institute of Electrical and Electronics Engineers) Frontiers in education conference (FIE 2024), 13-16 October 2024, Washington, DC, USA. Piscataway: IEEE [online], article number 10893133. Available from: https://doi.org/10.1109/FIE61694.2024.10893133

This research-to-practice full paper discusses students' views on the role of generative artificial intelligence (GenAI) in their learning. The rapid integration of GenAI in educational settings has prompted significant interest in its implications f... Read More about From assistance to misconduct: unpacking the complex role of generative AI in student learning..

Assessing faculty perceptions of a pass/fail grading model in CS1. (2024)
Presentation / Conference Contribution
ZARB, M., BROWN, J.N.A., MCDERMOTT, R., MCGOWAN, J. and YOUNG, T. 2024. Assessing faculty perceptions of a pass/fail grading model in CS1. In Proceedings of the 2024 IEEE (Institute of Electrical and Electronics Engineers) Frontiers in education conference (FIE 2024), 13-16 October 2024, Washington, DC, USA. Piscataway: IEEE [online], article number 10893076. Available from: https://doi.org/10.1109/fie61694.2024.10893076

This Innovative Practice Full Paper outlines the findings of a survey conducted at the Robert Gordon University (Scotland, UK), focusing on feedback from faculty members and reflections subsequent to the introduction of a Pass/Fail grading system in... Read More about Assessing faculty perceptions of a pass/fail grading model in CS1..

Auditors’ dysfunctional behaviour and audit quality in Nigeria. (2024)
Journal Article
ODEDIRAN, T.H., FAGBEMI, T.O., KASUM, A.S. and DARAMOLA, I.E. 2024. Auditors' dysfunctional behavior and audit quality in Nigeria. Redeca: revista eletrônica do departamento de ciências contábeis e departamento de atuária e métodos quantitativos [online], 11, article number e68471. Available from: https://doi.org/10.23925/2446-9513.2024v11id68471

Auditors provide a third-party service by giving their judgement on a company's financial statements, which serve as the foundation for choices made by investors and other stakeholders. As a result of multiple audit failures not only in Nigeria, but... Read More about Auditors’ dysfunctional behaviour and audit quality in Nigeria..

Optimizing energy efficiency in underwater acoustic networks through machine learning classifiers. (2024)
Presentation / Conference Contribution
STEWART, C., FOUGH, F., FOUGH, N. and PRABHU, R. 2024. Optimizing energy efficiency in underwater acoustic networks through machine learning classifiers. In Proceedings of the 31st IEEE (Institute of Electrical and Electronics Engineers) International conference on electronics, circuits, and systems (IEEE ICECS 2024), 18-20 November 2024, Nancy, France. Piscataway: IEEE [online], 10848718. Available from: https://doi.org/10.1109/ICECS61496.2024.10848718

Among many challenges in establishing an Underwater Wireless Sensor Network, is the challenge of resource constraints, battery and bandwidth being limited which renders acoustic networks limited in life and application. One identified application of... Read More about Optimizing energy efficiency in underwater acoustic networks through machine learning classifiers..

A simulation study on the performance characteristics of 3D crystalline silicon (c-Si) solar cells. (2024)
Presentation / Conference Contribution
LAWAL, S.M., VALIZADEH, S. and FOUGH, N. 2024. A simulation study on the performance characteristics of 3D crystalline silicon (c-Si) solar cells. In Proceedings of the 31st IEEE (Institute of Electrical and Electronics Engineers) International conference on electronics, circuits, and systems (IEEE ICECS 2024), 18-20 November 2024, Nancy, France. Piscataway: IEEE [online], 10848762. Available from: https://doi.org/10.1109/ICECS61496.2024.10848762

One of the most popular materials used is the wafer-based crystalline silicon (c-Si) solar cells that are dominant in the technology of the global PV market. In this paper, a 3D finite element method in COMSOL Multiphysics was used to simulate a crys... Read More about A simulation study on the performance characteristics of 3D crystalline silicon (c-Si) solar cells..

Efficiency analysis of RbGeBr3 perovskite solar cell with inorganic HTL and silver contact. (2024)
Presentation / Conference Contribution
VALIZADEH, S., LAWAL, S.M., FOUGH, N. and SHOKRI, A.A. 2024. Efficiency analysis of RbGeBr₃ perovskite solar cell with inorganic HTL and silver contact. In Proceedings of the 31st IEEE (Institute of Electrical and Electronics Engineers) International conference on electronics, circuits, and systems (IEEE ICECS 2024), 18-20 November 2024, Nancy, France. Piscataway: IEEE [online], 10848711. Available from: https://doi.org/10.1109/ICECS61496.2024.10848711

This research investigated the use of RbGeBr as an absorbing layer in two different types of perovskite solar cells. The study involved deliberate modifications to the thickness of the RbGeBr absorber layer. Silver was chosen for the metal contact el... Read More about Efficiency analysis of RbGeBr3 perovskite solar cell with inorganic HTL and silver contact..

Protecting visual data privacy in offshore industry via underwater image inpainting. (2024)
Presentation / Conference Contribution
TOLIE, H.F., REN, J., CHEN, R. and ZHAO, H. 2024. Protecting visual data privacy in offshore industry via underwater image inpainting. In Proceedings of the 9th International conference on image, vision and computing 2024 (ICIVC 2024), 15-17 July 2024, Suzhou, China. Piscataway: IEEE [online], pages 281-286. Available from: https://doi.org/10.1109/ICIVC61627.2024.10837433

Leveraging advanced artificial intelligence (AI) methodologies offers the advantage of incorporating multiple expert viewpoints, thereby facilitating a more comprehensive inspection of underwater infrastructure. However, the implementation of AI tech... Read More about Protecting visual data privacy in offshore industry via underwater image inpainting..

Devsecops for continuous security in trading software application development: a systematic literature review. (2024)
Journal Article
DASANAYAKE, S.D.L.V., SENANAYAKE, J. and WIJAYANAYAKE, W.M.J.I. 2024. Devsecops for continuous security in trading software application development: a systematic literature review. Journal of desk research review and analysis [online], 2(2), pages 215-232. Available from: https://doi.org/10.4038/jdrra.v2i2.52

This systematic literature review examined the implementation of DevSecOps for continuous security in financial trading software application development. This review identifies key strategies and security frameworks, analyses cybersecurity threats sp... Read More about Devsecops for continuous security in trading software application development: a systematic literature review..

Factors shaping female representation in STEM career in Nigeria. (2024)
Journal Article
ONOSHAKPOR, C.M, ABOLLE-OKOYEAGU, C.J., ONOJA, O. and ETUKUDOR, C. 2024. Factors shaping female representation in STEM career in Nigeria. African journal of economics, politics and social studies [online], 3(1), pages 19-27. Available from: https://doi.org/10.15804/ajepss.2024.1.02

This study confirms that several factors such as societal perceptions of gender roles, geographical region, influence from family, parents' level of education and significantly influences female's participation in STEM careers within the Nigeria cont... Read More about Factors shaping female representation in STEM career in Nigeria..

A kinetic enhanced tuck jump assessment exposes residual biomechanical deficits in female athletes 9 months post anterior cruciate ligament reconstruction. (2024)
Journal Article
KEMBER, L.S., RIEHM, C.D., SCHILLE, A., SLATON, J.A., MYER, G.D. and LLOYD, R.S. 2024. A kinetic enhanced tuck jump assessment exposes residual biomechanical deficits in female athletes 9 months post anterior cruciate ligament reconstruction. Journal of strength and conditioning research [online], 38(12), pages 2065-2073. Available from: https://doi.org/10.1519/JSC.0000000000004914

Addressing biomechanical deficits in female athletes after anterior cruciate ligament reconstruction (ACLR) is crucial for safe return-to-play. The tuck jump assessment (TJA) is used to identify risks associated with ACL injury, yet its fundamental a... Read More about A kinetic enhanced tuck jump assessment exposes residual biomechanical deficits in female athletes 9 months post anterior cruciate ligament reconstruction..

Improving the methods of description of building works in the UK. (2024)
Presentation / Conference Contribution
HUSSEY, H. and ATANASOV, V. 2024. Improving the methods of description of building works in the UK. In Thomson, C. and Neilson, C.J. (eds.) Proceedings of the 40th Association of Researchers in Construction Management annual conference 2024 (ARCOM 2024): looking back to move forward, 2-4 September 2024, London, UK. London: ARCOM [online], pages 509-518. Available from: https://www.arcom.ac.uk/-docs/archive/2024-Indexed-Papers.pdf

Since 1922, methods and rules of measurement have been developed to address the continual need to describe and quantify building work in the UK and revised to adapt to changes in industry practices and materials, yet not all changes have been address... Read More about Improving the methods of description of building works in the UK..

Visualizing time: a recent survey of time-focused art. [Magazine article, 2023/2024 edition] (2024)
Newspaper / Magazine
SBRILLI, A. and LEUZZI, L. 2024. Visualizing time: a recent survey of time-focused art. Time's news [online], 54, pages 44-51. Available from: https://studyoftime.org/publications/times-news/

This is the 2023/2024 annual survey of time-focused art, which on this occasion has been curated by Antonella Sbrilli and Laura Leuzzi. Published in the International Society for the Study of Time's "Time's News" annual magazine, this year's survey f... Read More about Visualizing time: a recent survey of time-focused art. [Magazine article, 2023/2024 edition].

Assessing the impact of artificial intelligence technology in education. [Dataset] (2024)
Data
ABOLLE-OKOYEAGU, C.J., EZENKWU, C.P., IBEKE, E. and ONOJA, O.P. 2024. Assessing the impact of artificial intelligence technology in education. [Dataset]. Hosted on Mendeley Data [online], version 1. Available from: https://doi.org/10.17632/zwjkbstpw4.1

This research seeks to understand how artificial intelligence (AI) technology impacts teaching and learning in education. Data was collected by survey of participants with engineering education experience.

Special issue on the application of remote sensing spatio-temporal big data to effective environmental monitoring and sustainable development. (2024)
Journal Article
SUN, G., REN, J., SUN, Q. and JIA, M. 2024. Special issue on the application of remote sensing spatio-temporal big data to effective environmental monitoring and sustainable development. Journal of geodesy and geoinformation science [online], 7(4), pages 2-3. Available from: https://doi.org/10.11947/j.JGGS.2024.0401

The rapid advancement of remote sensing, data science, and geographic information technology has ushered in an era of substantial information explosion. Massive spatio-temporal big data provides rich data resources and technical means have facilitate... Read More about Special issue on the application of remote sensing spatio-temporal big data to effective environmental monitoring and sustainable development..

Effective marine monitoring with multimodal sensing and improved underwater robotic perception towards environmental protection and smart energy transition. (2024)
Journal Article
FARHADI TOLIE, H., REN, J., HASAN, M.J., MA, P, KENNAN, S. and LI, Y. 2024. Effective marine monitoring with multimodal sensing and improved underwater robotic perception towards environmental protection and smart energy transition. Journal of geodesy and geoinformation science [online], 7(4), pages 19-35. Available from: https://doi.org/10.11947/j.JGGS.2024.0403

Effective underwater sensing is crucial for environmental protection and sustainable energy transitions, particularly as we face growing challenges in marine ecosystem monitoring, resource management, and the need for efficient energy infrastructure.... Read More about Effective marine monitoring with multimodal sensing and improved underwater robotic perception towards environmental protection and smart energy transition..

Implementation and evaluation of embedded study skills support within an undergraduate degree program. (2024)
Journal Article
BURGESS, K.E. 2025. Implementation and evaluation of embedded study skills support within an undergraduate degree program. Journal of hospitality, leisure, sport and tourism education [online], 36, article number 100532. Available from: https://doi.org/10.1016/j.jhlste.2024.100532

As student numbers and the diversity of the student population entering higher education are increasing worldwide, it has been observed that the number of students who possess inadequate study skills is also rising. In order to maintain continuation... Read More about Implementation and evaluation of embedded study skills support within an undergraduate degree program..

An innovative multitask learning: long short-term memory neural network for the online anti-aging state of charge estimation of lithium-ion batteries adaptive to varying temperature and current conditions. (2024)
Journal Article
TAO, J., WANG, S., CAO, W., FERNANDEZ, C., BLAABJERG, F. and CHENG, L. 2025. An innovative multitask learning: long short-term memory neural network for the online anti-aging state of charge estimation of lithium-ion batteries adaptive to varying temperature and current conditions. Energy [online], 314, article number 134272. Available from: https://doi.org/10.1016/j.energy.2024.134272

As the new industrial revolution accelerates, new energy storage systems are becoming increasingly vital to the industrial chain. The overall performance of the battery management system can be improved by using a long short-term memory neural networ... Read More about An innovative multitask learning: long short-term memory neural network for the online anti-aging state of charge estimation of lithium-ion batteries adaptive to varying temperature and current conditions..

All Outputs (696)