All Outputs (8406)

Sustainable development goals, accounting practices and public financial management: a pre and post COVID-19 assessment. (2024)
Journal Article
NAKPODIA, F., SAKARIYAHU, R., FAGBEMI, T., ADIGUN, R. and DOSUMU, O. 2024. Sustainable development goals, accounting practices and public financial management: a pre and post COVID-19 assessment. British accounting review [online], In Press, article 101466. Available from: https://doi.org/10.1016/j.bar.2024.101466

Previous studies have highlighted the importance of policy interventions in achieving the Sustainable Development Goals (SDGs). However, there is limited understanding within accounting literature about strategies to enhance sustainable development i... Read More about Sustainable development goals, accounting practices and public financial management: a pre and post COVID-19 assessment..

A novel back propagation neural network-square root cubature Kalman filtering strategy based on fusion dual factor parameter identification for state-of-charge estimation of lithium-ion batteries. (2024)
Presentation / Conference Contribution
XU, X., WANG, S., WANG, C., FERNANDEZ, C. and BLAABJERG, F. 2024. A novel back propagation neural network-square root cubature Kalman filtering strategy based on fusion dual factor parameter identification for state-of-charge estimation of lithium-ion batteries. In Proceedings of the 4th IEEE (Institute of Electrical and Electronics Engineers) 4th New energy and energy storage system control summit forum 2024 (NEESSC 2024), 29-31 August 2024, Hohhot, China. Piscataway: IEEE [online], pages 120-132. Available from: https://doi.org/10.1109/neessc62857.2024.10733526

Accurate real-time estimation of the state-of-charge (SOC) of the battery is of great significance for promoting the development of electric vehicles. In this research, a novel back propagation neural network-square root cubature Kalman filtering (BP... Read More about A novel back propagation neural network-square root cubature Kalman filtering strategy based on fusion dual factor parameter identification for state-of-charge estimation of lithium-ion batteries..

Optimizing DMF utilization for improved MXene dispersions in epoxy nanocomposites. (2024)
Journal Article
JANJUA, A.A., YOUNAS, M., ILYAS, R.A., SHYHA, I., FAISAL, N.H., INAM, F. and SAHARUDIN, M.S. 2024. Optimizing DMF utilization for improved MXene dispersions in epoxy nanocomposites. Journal of composites science [online], 8(9), article 340. Available from: https://doi.org/10.3390/jcs8090340

Dimethylformamide (DMF), a polar solvent, is commonly used for preparing graphene/epoxy nanocomposites. While previous research has commonly predominantly highlighted the improvement in physio-mechanical properties of these nanocomposites, the effect... Read More about Optimizing DMF utilization for improved MXene dispersions in epoxy nanocomposites..

Investigating key contributors to hospital appointment no-shows using explainable AI. (2024)
Presentation / Conference Contribution
YIYE, V., UGBOMEH, O., EZENKWU, C.P., IBEKE, E., SHARMA, V. and ALKHAYYAT, A. 2024. Investigating key contributors to hospital appointment no-shows using explainable AI. In Proceedings of the 2024 International conference on electrical, electronics and computing technologies (ICEECT 2024), 29-31 August 2024, Greater Noida, India. Piscataway: IEEE [online], article 10739123. Available from: https://doi.org/10.1109/ICEECT61758.2024.10739123

The healthcare sector has suffered from wastage of resources and poor service delivery due to the significant impact of appointment no-shows. To address this issue, this paper uses explainable artificial intelligence (XAI) to identify major predictor... Read More about Investigating key contributors to hospital appointment no-shows using explainable AI..

Machine learning algorithms for stroke risk prediction leveraging on explainable artificial intelligence techniques (XAI). (2024)
Presentation / Conference Contribution
UGBOMEH, O., YIYE, V., IBEKE, E., EZENKWU, C.P., SHARMA, V. and ALKHAYYAT, A. 2024. Machine learning algorithms for stroke risk prediction leveraging on explainable artificial intelligence techniques (XAI). In Proceedings of the 2024 International conference on electrical, electronics and computing technologies (ICEECT 2024), 29-31 August 2024, Greater Noida, India. Piscataway: IEEE [online], article 10739320. Available from: https://doi.org/10.1109/ICEECT61758.2024.10739320

Stroke poses a significant global health challenge, contributing to widespread mortality and disability. Identifying predictors of stroke risk is crucial for enabling timely interventions, thereby reducing the increasing impact of strokes. This resea... Read More about Machine learning algorithms for stroke risk prediction leveraging on explainable artificial intelligence techniques (XAI)..

Improved chaotic particle butterfly optimization-cubature Kalman filtering for accurate state of charge estimation of lithium-ion batteries adaptive to different temperature conditions. (2024)
Journal Article
YANG, J., WANG, S., GAO, H., FERNANDEZ, C. and GUERRERO, J.M. 2024. Improved chaotic particle butterfly optimization-cubature Kalman filtering for accurate state of charge estimation of lithium-ion batteries adaptive to different temperature conditions. Ionics [online], Latest Articles. Available from: https://doi.org/10.1007/s11581-024-05777-x

Accurate state of charge (SOC) estimation of lithium-ion batteries can effectively help battery management system better manage the charging and discharging process of batteries, providing important reference basis for the use planning of power vehic... Read More about Improved chaotic particle butterfly optimization-cubature Kalman filtering for accurate state of charge estimation of lithium-ion batteries adaptive to different temperature conditions..

A fully coupled model for predicting geomechanical and multiphase flow behaviour in fractured rocks. (2024)
Journal Article
HAWEZ, H.K., ASIM, T. and FAZIO, M. 2024. A fully coupled model for predicting geomechanical and multiphase flow behaviour in fractured rocks. Unconventional resources [online], 4, article number 100105. Available from: https://doi.org/10.1016/j.uncres.2024.100105

Geomechanical and multiphase flow characteristics are essential in recovering oil from naturally fractured rocks during hydrocarbon production because of changes in pore pressure and tension within the rock. It is a well-established fact that the geo... Read More about A fully coupled model for predicting geomechanical and multiphase flow behaviour in fractured rocks..

Efficient formability in radial-shear rolling of A2024 aluminum alloy with screw rollers. (2024)
Journal Article
ELDEEB, I.S., HAWAM, A.A., NABHAN, A. and EGIZA, M. 2024. Efficient formability in radial-shear rolling of A2024 aluminum alloy with screw rollers. Materials today communications [online], 41, article number 110241. Available from: https://doi.org/10.1016/j.mtcomm.2024.110241

The Radial-Shear Rolling (RSR) process, commonly utilizing traditional conical rollers, encounters challenges in achieving optimal deformation in high-strength aluminum alloy A2024, vital for aerospace applications due to its exceptional strength-to-... Read More about Efficient formability in radial-shear rolling of A2024 aluminum alloy with screw rollers..

Assessment of machinability of Ti6Al4V alloy under dry conditions. (2024)
Presentation / Conference Contribution
YOUNAS, M., SAMBO, A.M., ASIM, T. and SAHARUDIN, S. 2024. Assessment of machinability of Ti6Al4V alloy under dry conditions. MATEC web of conferences [online], 401: proceedings of the 21st International conference on manufacturing research (ICMR 2024), 28-30 August 2024, Glasgow, UK, article number 06005. Available from: https://doi.org/10.1051/matecconf/202440106005

Titanium alloys pose significant challenges during machining, necessitates a thorough investigation into the impact of process parameters on machining Ti6Al4V alloy. This study investigates into the machinability of Ti6Al4V alloy under dry machining... Read More about Assessment of machinability of Ti6Al4V alloy under dry conditions..

Effects of cutting conditions on the cutting forces in machining additively manufactured Ti6Al4V alloy. (2024)
Presentation / Conference Contribution
SAMBO, A.M., YOUNAS, M. and NJUGUNA, J. 2024. Effects of cutting conditions on the cutting forces in machining additively manufactured Ti6Al4V alloy. MATEC web of conferences [online], 401: proceedings of the 21st International conference on manufacturing research (ICMR 2024), 28-30 August 2024, Glasgow, UK, article number 06003. Available from: https://doi.org/10.1051/matecconf/202440106003

Machining of additive manufacturing (AM) process results in excessive consumption of the cutting power due to the high strength and hardness of the material produced that led to high cutting forces and short tool life during machining process. This p... Read More about Effects of cutting conditions on the cutting forces in machining additively manufactured Ti6Al4V alloy..

Silver Saplings Adventures for Older People: a qualitative review and evaluation of intended positive interventional change and wellbeing effects for participants of the programme. (2024)
Report
ADAMS, N., MACIVER, E., KENNEDY, C. and DOUGLAS, F. 2024. Silver Saplings Adventures for Older People: a qualitative review and evaluation of intended positive interventional change and wellbeing effects for participants of the programme. Aberdeen: Robert Gordon University. Hosted on OpenAIR [online]. Available from: https://rgu-repository.worktribe.com/output/2445905

The Silver Saplings Adventures (SSA) programme is a nature-based wellbeing intervention targeting older people, located in Moray, Aberdeenshire and areas of the Highlands. It consists of monthly day trips to outdoor settings, providing opportunities... Read More about Silver Saplings Adventures for Older People: a qualitative review and evaluation of intended positive interventional change and wellbeing effects for participants of the programme..

Temporal graph convolutional autoencoder based fault detection for renewable energy applications. (2024)
Presentation / Conference Contribution
ARIFEEN, M. and PETROVSKI, A. 2024. Temporal graph convolutional autoencoder based fault detection for renewable energy applications. In Proceedings of the 7th IEEE (Institute of Electrical and Electronics Engineers) Industrial cyber-physical systems international conference 2024 (ICPS 2024), 12-15 May 2024, St. Louis, USA. Piscataway: IEEE [online], article number 10639998. Available from: https://doi.org/10.1109/ICPS59941.2024.10639998

Detecting faults in energy generation systems is a challenging task due to the complex nature of the system, measurement noise, and outliers. Recently, researchers have shown an increasing interest in using data-driven models that utilize sensor data... Read More about Temporal graph convolutional autoencoder based fault detection for renewable energy applications..

Securing cyber-physical systems with two-level anomaly detection strategy. (2024)
Presentation / Conference Contribution
AHMAD, Z. and PETROVSKI, A. 2024. Securing cyber-physical systems with two-level anomaly detection strategy. In Proceedings of the 7th IEEE (Institute of Electrical and Electronics Engineers) Industrial cyber-physical systems international conference 2024 (ICPS 2024), 12-15 May 2024, St. Louis, USA. Piscataway: IEEE [online], article number 10639983. Available from: https://doi.org/10.1109/ICPS59941.2024.10639983

Cyber-physical system (CPS) represents the integration of digital technologies with physical processes to revolutionize Industry 4.0 by optimizing the industrial processes. However, due to the integration of interconnected devices, the internet, and... Read More about Securing cyber-physical systems with two-level anomaly detection strategy..

Optimising for dense deployments in commercial ambient human sensing with WiFi CSI. (2024)
Presentation / Conference Contribution
FORBES, G. and MASSIE, S. 2024. Optimising for dense developments in commercial ambient human sensing with WiFi CSI. In Proceedings of the 30th IEEE (Institute of Electrical and Electronics Engineers) International conference on Embedded and real-time computing systems and applications 2024 (RTCSA 2024), 21-23 August 2024, Sokcho, Republic of Korea. Piscataway: IEEE [online], pages 124-129. Available from: https://doi.org/10.1109/RTCSA62462.2024.00027

WiFi Channel State Information (CSI) is widely-used in research for human sensing applications, yet its actual deployment in commercial real-time applications remains sparse with few examples. Existing demonstrations in research literature predominan... Read More about Optimising for dense deployments in commercial ambient human sensing with WiFi CSI..

Virtual afterlife: dark tourism in the hereafter. (2024)
Book Chapter
IRONSIDE, R. and LEITH, C. 2024. Virtual afterlife: dark tourism in the hereafter. In Stone, P.R. and Wright, D.W.M. (eds.). The future of dark tourism: enlightening new horizons. The future of tourism, 8. Bristol: Channel View Publications Ltd [online], Chapter 2, 27-37. Available from: https://www.channelviewpublications.com/page/detail/?k=9781845418984

"…you are now travelling to the Virtual Afterlife…". It is Sunday afternoon in the year 2040. Charlotte reaches for her virtual headset and waits to connect with her friend, Becca. Today they have chosen to connect virtually in a small café in the ce... Read More about Virtual afterlife: dark tourism in the hereafter..

Improved K-means clustering-genetic backpropagation modeling for online state-of-charge estimation of lithium-ion batteries adaptive to low-temperature conditions. (2024)
Journal Article
HAI, N., WANG, S., HUANG, Q., XIE, Y. and FERNANDEZ, C. 2024. Improved K-means clustering-genetic backpropagation modeling for online state-of-charge estimation of lithium-ion batteries adaptive to low-temperature conditions. Journal of energy storage [online], 99(B), article number 113399. Available from: https://doi.org/10.1016/j.est.2024.113399

Accurate state-of-charge (SOC) estimation of lithium-ion batteries (LIBs) in low temperatures is significant to maximize their performance and application. An improved K-means clustering-genetic backpropagation (KMC-GBP) algorithm consisting of five... Read More about Improved K-means clustering-genetic backpropagation modeling for online state-of-charge estimation of lithium-ion batteries adaptive to low-temperature conditions..

A systematic review on conditions before and after training of teamwork competencies and the effect on transfer of skills to the clinical workplace. (2024)
Journal Article
WITTIG, J., KROGH, K., BLANCHARD, E.E., XING, K., KUSHNER, J., BICHMANN, A., FLIN, R., BRAZIL, V., GOLDHABER-FIEBERT, S.N., PAIGE, J. and LAURIDSEN, K.G. [2024]. A systematic review on conditions before and after training of teamwork competencies and the effect on transfer of skills to the clinical workplace. Simulation in healthcare [online], Ahead-of-Print. Available from: https://doi.org/10.1097/SIH.0000000000000809

The researchers conducted a systematic review to assess if any condition before- or after simulation-based training of teamwork competencies for healthcare professionals affects learning or transfer of skills to the clinical environment. The followin... Read More about A systematic review on conditions before and after training of teamwork competencies and the effect on transfer of skills to the clinical workplace..

Acoustic emission wave propagation in pipeline sections and analysis of the effect of coating and sensor location. (2024)
Journal Article
RAJENDRAN, V., PRATHURU, A., FERNANDEZ, C. and FAISAL, N. [2024]. Acoustic emission wave propagation in pipeline sections and analysis of the effect of coating and sensor location. Nondestructive testing and evaluation [online], Latest Articles. Available from: https://doi.org/10.1080/10589759.2024.2390996

This paper presents an experimental investigation in which acoustic emission (AE) wave was generated through a pencil lead break (PLB) as a point source on two pipeline sections made of mild steel and titanium. The pipelines (bare, epoxy phenolic coa... Read More about Acoustic emission wave propagation in pipeline sections and analysis of the effect of coating and sensor location..

Cyanobiphenyl-based liquid crystal dimers and the twist-bend nematic phase: on the role played by the length and parity of the spacer. (2024)
Journal Article
CRUICKSHANK, E., STRACHAN, G.J., THAPA, K., POCIECHA, D., SALAMOŃCZYK, M., STOREY, J.M.D., GORECKA, E., LAVRENTOVICH, O. and IMRIE, C.T. 2024. Cyanobiphenyl-based liquid crystal dimers and the twist-bend nematic phase: on the role played by the length and parity of the spacer. Liquid crystals [online], 51(8-9), pages 1446-1470. Available from: https://doi.org/10.1080/02678292.2024.2381570

Six members of the 1,ω-bis(4-cyanobiphenyl-4'-yl) alkanes are reported and referred to as CBnCB in which n = 1, 15, 16, 17, 19 and 20 and indicates the number of methylene units in the spacer separating the two cyanobiphenyl units. The behaviour of C... Read More about Cyanobiphenyl-based liquid crystal dimers and the twist-bend nematic phase: on the role played by the length and parity of the spacer..

Standard deviation of individual response for VO2max following exercise interventions: a systematic review and meta-analysis. (2024)
Journal Article
RENWICK, J.R.M., PREOBRAZENSKI, N., WU., Z., KHANSARI, A., LEBOUEDEC, M.A., NUTTALL, J.M.G. BANCROFT, K.R., SIMPSON-STAIRS, N., SWINTON, P.A. and GURD, B.J. [2024]. Standard deviation of individual response for VO2max following exercise interventions: a systematic review and meta-analysis. Sports medicine [online], Latest Articles. Available from: https://doi.org/10.1007/s40279-024-02089-y

Although numerous attempts to demonstrate inter-individual differences in trainability across various outcomes have been unsuccessful, the investigation of maximal oxygen consumption (VO2max) trainability warrants further study. Our objective was to... Read More about Standard deviation of individual response for VO2max following exercise interventions: a systematic review and meta-analysis..