Outputs (268)

An improved sliding window: long short-term memory modeling method for real-world capacity estimation of lithium-ion batteries considering strong random charging characteristics. (2023)
Journal Article
WANG, S., TAKYI-ANINAKWA, P., JIN, S., LIU, K. and FERNANDEZ, C. 2023. An improved sliding window: long short-term memory modeling method for real-world capacity estimation of lithium-ion batteries considering strong random charging characteristics. Journal of energy storage [online], 70, article 108038. Available from: https://doi.org/10.1016/j.est.2023.108038

Capacity estimation plays a significant role in ensuring safe and acceptable energy delivery, especially under real-time complex working conditions for whole-life-cycle lithium-ion batteries. For high-precision and robust capacity estimation, an impr... Read More about An improved sliding window: long short-term memory modeling method for real-world capacity estimation of lithium-ion batteries considering strong random charging characteristics..

Development of predictive optimization model for autonomous rotary drilling system using machine learning approach. (2023)
Journal Article
AMADI, K., IYALLA, I., PRABHU, R., ALSABA, M. and WALY, M. 2023. Development of predictive optimization model for autonomous rotary drilling system using machine learning approach. Journal of petroleum exploration and production technology [online], 13(10), pages 2049-2062. Available from: https://doi.org/10.1007/s13202-023-01656-9

The growing global energy demand and strict environmental policies motivate the use of technology and performance improvement techniques in drilling operations. In the traditional drilling method, the effort and time required to optimize drilling dep... Read More about Development of predictive optimization model for autonomous rotary drilling system using machine learning approach..

Investigating the potential of renewable-hydrogen energy storage systems (RHES) in enabling Scotland’s farming communities net-zero transition and sizing the proposed RHES system. (2023)
Journal Article
AL-ALI, H., ALI, D. and ATTEYA, A.I. 2023. Investigating the potential of renewable-hydrogen energy storage systems (RHES) in enabling Scotland’s farming communities net-zero transition and sizing the proposed RHES system. Green energy and environmental technology [online], 2, pages 1-32. Available from: https://doi.org/10.5772/geet.16

Renewable-hydrogen (H2) is a key component in Scotland's decarbonisation plans and its implementation in farming communities can support achieving net-zero goals. HydroGlen, a demonstrative renewable-powered farming community at Glensaugh, is used as... Read More about Investigating the potential of renewable-hydrogen energy storage systems (RHES) in enabling Scotland’s farming communities net-zero transition and sizing the proposed RHES system..

Digital transformation for offshore assets: a deep learning framework for weld classification in remote visual inspections. (2023)
Presentation / Conference Contribution
TORAL-QUIJAS, L.A., ELYAN, E., MORENO-GARCÍA, C.F. and STANDER, J. 2023. Digital transformation for offshore assets: a deep learning framework for weld classification in remote visual inspections. In Iliadis, L, Maglogiannis, I., Alonso, S., Jayne, C. and Pimenidis, E. (eds.) Proceedings of the 24th International conference on engineering applications of neural networks (EAAAI/EANN 2023), 14-17 June 2023, León, Spain. Communications in computer and information science, 1826. Cham: Springer [online], pages 217-226. Available from: https://doi.org/10.1007/978-3-031-34204-2_19

Inspecting circumferential welds in caissons is a critical task for ensuring the safety and reliability of structures in the offshore industry. However, identifying and classifying different types of circumferential welds can be challenging in subsea... Read More about Digital transformation for offshore assets: a deep learning framework for weld classification in remote visual inspections..

Hybrid gray wolf optimization method in support vector regression framework for highly precise prediction of remaining useful life of lithium-ion batteries. (2023)
Journal Article
ZHANG, M., WANG, S., XIE, Y., YANG, X., HAO, X. and FERNANDEZ, C. 2023. Hybrid gray wolf optimization method in support vector regression framework for highly precise prediction of remaining useful life of lithium-ion batteries. Ionics [online], 29(9), pages 3597-3607. Available from: https://doi.org/10.1007/s11581-023-05072-1

The prediction of remaining useful life (RUL) of lithium-ion batteries takes a critical effect in the battery management system, and precise prediction of RUL guarantees the secure and reliable functioning of batteries. For the difficult problem of s... Read More about Hybrid gray wolf optimization method in support vector regression framework for highly precise prediction of remaining useful life of lithium-ion batteries..

Keystone. [Film screening and panel discussion] (2023)
Exhibition / Performance
KELLIE, C. 2023. Keystone. [Film screening and panel discussion]. Presented at the 2023 Energy ethics conference (EE2023): financing the future, 6-8 June 2023, St. Andrews, UK.

Within the North Sea energy industry, a transition is slowly taking place. Starting from a place of purely extractive energy production, a journey towards net zero is underway. Simultaneously, on-shore renewable energy production is also increasing,... Read More about Keystone. [Film screening and panel discussion].

Mirrored transition. [Film screening] (2023)
Exhibition / Performance
KELLIE, C. 2023. Mirrored transition. [Film screening]. Performed at the 2023 Energy ethics conference (EE2023): financing the future, 6-8 June 2023, St. Andrews, UK.

Within the North Sea, a transition is slowly taking place. From a place of purely extractive energy production to one of a mixed energy portfolio, increasingly including renewable energy. Simultaneously, many traditional shooting estates within Scotl... Read More about Mirrored transition. [Film screening].

Investigation on mechanical and thermal properties of 3D-printed polyamide 6, graphene oxide and glass-fibre-reinforced composites under dry, wet and high temperature conditions. (2023)
Journal Article
ICHAKPA, M., GOODYEAR, M., DUTHIE, J., DUTHIE, M., WISELY, R., MACPHERSON, A., KEYTE, J., PANCHOLI, K. and NJUGUNA, J. 2023. Investigation on mechanical and thermal properties of 3d-printed polyamide 6, graphene oxide and glass-fibre-reinforced composites under dry, wet and high temperature conditions. Journal of composites science [online], 7(6), article 227. Available from: https://doi.org/10.3390/jcs7060227

This study is focused on 3D printing of polyamide 6 (PA6), PA6/graphene oxide (PA6/GO) and PA6/glass-fibre-reinforced (PA6/GF) composites. The effect of graphene oxide and glass-fibre reinforcement on 3D-printed PA6 is explored for improvement of the... Read More about Investigation on mechanical and thermal properties of 3D-printed polyamide 6, graphene oxide and glass-fibre-reinforced composites under dry, wet and high temperature conditions..

DEFEG: deep ensemble with weighted feature generation. (2023)
Journal Article
LUONG, A.V., NGUYEN, T.T., HAN, K., VU, T.H., MCCALL, J. and LIEW, A.W.-C. 2023. DEFEG: deep ensemble with weighted feature generation. Knowledge-based systems [online], 275, article 110691. Available from: https://doi.org/10.1016/j.knosys.2023.110691

With the significant breakthrough of Deep Neural Networks in recent years, multi-layer architecture has influenced other sub-fields of machine learning including ensemble learning. In 2017, Zhou and Feng introduced a deep random forest called gcFores... Read More about DEFEG: deep ensemble with weighted feature generation..

High-precision state of charge estimation of urban-road-condition lithium-ion batteries based on optimized high-order term compensation-adaptive extended Kalman filtering. (2023)
Journal Article
FENG, R., WANG, S., YU, C., ZHOU, H. and FERNANDEZ, C. 2023. High-precision state of charge estimation of urban-road-condition lithium-ion batteries based on optimized high-order term compensation-adaptive extended Kalman filtering. Journal of The Electrochemical Society [online], 170(5), article 050539. Available from: https://doi.org/10.1149/1945-7111/acd303

It is significant to improve the accuracy of estimating the state of charge (SOC) of lithium-ion batteries under different working conditions on urban roads. In this study, an improved second-order polarized equivalent circuit (SO-PEC) modeling metho... Read More about High-precision state of charge estimation of urban-road-condition lithium-ion batteries based on optimized high-order term compensation-adaptive extended Kalman filtering..

A rough Dombi Bonferroni based approach for public charging station type selection. (2023)
Journal Article
DEVECI, M., ERDOGAN, N., PAMUCAR, D., KUCUKSARI, S. and CALI, U. 2023. A rough Dombi Bonferroni based approach for public charging station type selection. Applied energy [online], 345, article 121258. Available from: https://doi.org/10.1016/j.apenergy.2023.121258

As the transition to electric mobility accelerates, charging infrastructure is rapidly expanding. Publicly accessible chargers, also known as electric vehicle supply equipment (EVSE), are critical not only for further promoting the transition but als... Read More about A rough Dombi Bonferroni based approach for public charging station type selection..

Self-attention enhanced deep residual network for spatial image steganalysis. (2023)
Journal Article
XIE, G., REN, J., MARSHALL, S., ZHAO, H., LI, R. and CHEN, R. 2023. Self-attention enhanced deep residual network for spatial image steganalysis. Digital signal processing [online], 139, article 104063. Available from: https://doi.org/10.1016/j.dsp.2023.104063

As a specially designed tool and technique for the detection of image steganography, image steganalysis conceals information under the carriers for covert communications. Being developed on the BOSSbase dataset and released a decade ago, most of the... Read More about Self-attention enhanced deep residual network for spatial image steganalysis..

Bio-based sustainable polymers and materials: from processing to biodegradation. (2023)
Journal Article
OKOLIE, O., KUMAR, A., EDWARDS, C., LAWTON, L.A., OKE, A., MCDONALD, S., THAKUR, V.K. and NJUGUNA, J. 2023. Bio-based sustainable polymers and materials: from processing to biodegradation. Journal of composites science [online], 7(6), article 213. Available from: https://doi.org/10.3390/jcs7060213

In the life cycle of a material, there will be either chemical or physical change due to varying environmental factors such as biological activity, light, heat, moisture, and chemical conditions. This process leads to polymer property change as perta... Read More about Bio-based sustainable polymers and materials: from processing to biodegradation..

The effect of ice floe on the strength, stability, and fatigue of hybrid flexible risers in the Arctic sea. (2023)
Journal Article
KOROTYGIN, D., NAMMI, S.K. and PANCHOLI, K. 2023. The effect of ice floe on the strength, stability, and fatigue of hybrid flexible risers in the Artic sea. Journal of composites science [online], 7(6), article 212. Available from: https://doi.org/10.3390/jcs7060212

Flexible risers have proven to be a popular choice for deepwater exploration due to their ability to withstand functional and environmental stress while maintaining system integrity. In the challenging arctic conditions, lightweight hybrid composite... Read More about The effect of ice floe on the strength, stability, and fatigue of hybrid flexible risers in the Arctic sea..

An error covariance correction-adaptive extended Kalman filter based on piecewise forgetting factor recursive least squares method for the state-of-charge estimation of lithium-ion batteries. (2023)
Journal Article
LIANG, Y., WANG, S., FAN, Y., TAKYI-ANINAKWA, P., XIE, Y. and FERNANDEZ, C. 2023. An error covariance correction-adaptive extended Kalman filter based on piecewise forgetting factor recursive least squares method for the state-of-charge estimation of lithium-ion batteries. Journal of energy storage [online], 68, article 107629. Available from: https://doi.org/10.1016/j.est.2023.107629

Accurate state-of-charge (SOC) estimation is essential for fully utilizing the battery performance of electric vehicles. Considering the demand for algorithms with the advantages of simplicity, fewer calculations, good stability, and high accuracy in... Read More about An error covariance correction-adaptive extended Kalman filter based on piecewise forgetting factor recursive least squares method for the state-of-charge estimation of lithium-ion batteries..

Person recognition based on deep gait: a survey. (2023)
Journal Article
KHALILUZZAMAN, M., UDDIN, A., DEB, K. and HASAN, M.J. 2023. Person recognition based on deep gait: a survey. Sensors [online], 23(10), article 4875. Available from: https://doi.org/10.3390/s23104875

Gait recognition, also known as walking pattern recognition, has expressed deep interest in the computer vision and biometrics community due to its potential to identify individuals from a distance. It has attracted increasing attention due to its po... Read More about Person recognition based on deep gait: a survey..

CBANet: an end-to-end cross band 2-D attention network for hyperspectral change detection in remote sensing. (2023)
Journal Article
LI, Y., REN, J., YAN, Y., LIU, Q., MA, P., PETROVSKI, A. and SUN, H. 2023. CBANet: an end-to-end cross band 2-D attention network for hyperspectral change detection in remote sensing. IEEE transactions on geoscience and remote sensing [online], 61, 5513011. Available from: https://doi.org/10.1109/TGRS.2023.3276589

As a fundamental task in remote sensing observation of the earth, change detection using hyperspectral images (HSI) features high accuracy due to the combination of the rich spectral and spatial information, especially for identifying land-cover vari... Read More about CBANet: an end-to-end cross band 2-D attention network for hyperspectral change detection in remote sensing..

In situ H2O2 treatment of blue-green algae contaminated reservoirs causes significant improvement in drinking water treatability. (2023)
Journal Article
MELO ROCHA, M.A., CLEMENTE, A., AMORIM SANTOS, A., DA SILVA MELO, J., PESTANA, C.J., LAWTON, L.A. and CAPELO-NETO, J. 2023. In situ H2O2 treatment of blue-green algae contaminated reservoirs causes significant improvement in drinking water treatability. Chemosphere [online], 333, article 138895. Available from: https://doi.org/10.1016/j.chemosphere.2023.138895

The evaluation of water quality improvement brought about by in situ treatment of eutrophic water bodies, especially those used for human supply, is a challenging task since each water system responds differently. To overcome this challenge, we appli... Read More about In situ H2O2 treatment of blue-green algae contaminated reservoirs causes significant improvement in drinking water treatability..

Review: optimized particle filtering strategies for high-accuracy state of charge estimation of LIBs. (2023)
Journal Article
WANG, S., JIA, X., TAKYI-ANINAKWA, P., STROE, D.-I. and FERNANDEZ, C. 2023. Review: optimized particle filtering strategies for high-accuracy state of charge estimation of LIBs. Journal of The Electrochemical Society [online], 170(5), article 050514. Available from: https://doi.org/10.1149/1945-7111/acd148

Lithium-ion batteries (LIBs) are used as energy storage systems due to their high efficiency. State of charge (SOC) estimation is one of the key functions of the battery management system (BMS). Accurate SOC estimation helps to determine the driving... Read More about Review: optimized particle filtering strategies for high-accuracy state of charge estimation of LIBs..

Modelling real-world renewable hydrogen energy systems for enabling Scotland zero-carbon ambition. (2023)
Presentation / Conference Contribution
ATTEYA, A.I. and ALI, D. 2023. Modelling real-world renewable hydrogen energy systems for enabling Scotland zero-carbon ambition. Presented at the 2023 All-energy and dcarbonise conference, 10-11 May 2023, Glasgow, UK.

Hydrogen is described as one of the most indicative scenarios for meeting Scotland Net-Zero carbon ambition set out for 2045. According to the 2021 Scottish Government’s hydrogen policy statement, the target is to invest 5 GW of renewable and low-car... Read More about Modelling real-world renewable hydrogen energy systems for enabling Scotland zero-carbon ambition..