Development of coconut oil/capric acid eutectic phase change material with graphene as latent thermal energy storage. (2023)
Journal Article
HASBI, S., LEONG, K.Y., KU AHMAD, K.Z., ABDUL RAHIM, N. and SAHARUDIN, M.S. 2023. Development of coconut oil/capric acid eutectic phase change material with graphene as latent thermal energy storage. International journal of automotive and mechanical engineering [online], 20(1), pages 10247-10257. Available from: https://doi.org/10.15282/ijame.20.1.2023.07.0792

In this study, a eutectic mixture of coconut oil (CO)-capric acid (CA) was synthesised and investigated with the aim of producing newly eutectic phase change materials (PCMs) with improved thermal properties as thermal energy storage (TES). Although... Read More about Development of coconut oil/capric acid eutectic phase change material with graphene as latent thermal energy storage..

Plug and abandonment of oil and gas wells: a comprehensive review of regulations, practices, and related impact of materials selection. (2023)
Journal Article
CHUKWUEMEKA, A.O., OLUYEMI, G., MOHAMMED, A.I. and NJUGUNA, J. 2023. Plug and abandonment of oil and gas wells: a comprehensive review of regulations, practices, and related impact of materials selection. Geoenergy science and engineering [online], 226, article 211718. Available from: https://doi.org/10.1016/j.geoen.2023.211718

This paper reviews the state of research in permanent barrier materials for plug and abandonment of oil and gas wells to identify key strengths and weaknesses of each barrier material and understand the impact of reservoir conditions and fluids on ba... Read More about Plug and abandonment of oil and gas wells: a comprehensive review of regulations, practices, and related impact of materials selection..

Multiscale superpixelwise prophet model for noise-robust feature extraction in hyperspectral images. (2023)
Journal Article
MA, P., REN, J., SUN, G., ZHAO, H., JIA, X., YAN, Y. and ZABALZA, J. 2023. Multiscale superpixelwise prophet model for noise-robust feature extraction in hyperspectral images. IEEE transactions on geoscience and remote sensing [online], 61, article 5508912. Available from: https://doi.org/10.1109/TGRS.2023.3260634

Despite of various approaches proposed to smooth the hyperspectral images (HSIs) before feature extraction, the efficacy is still affected by the noise, even using the corrected dataset with the noisy and water absorption bands discarded. In this stu... Read More about Multiscale superpixelwise prophet model for noise-robust feature extraction in hyperspectral images..

Systematic evaluation of pyrolysis processes and biochar quality in the operation of low-cost flame curtain pyrolysis kiln for sustainable biochar production. (2023)
Journal Article
JAYAKUMAR, A., MORRISSET, D., KOUTSOMARKOS, V., WURZER, C., HADDEN, R.M., LAWTON, L., EDWARDS, C. and MAŠEK, O. 2023. Systematic evaluation of pyrolysis processes and biochar quality in the operation of low-cost flame curtain pyrolysis kiln for sustainable biochar production. Current research in environmental sustainability [online], 5, article 100213. Available from: https://doi.org/10.1016/j.crsust.2023.100213

Low-cost pyrolysis units such as flame curtain pyrolysis kilns are gaining popularity for biochar production. However, the processes that govern the working of such units are not well understood. Here, emissions, temperatures and mass loss are monito... Read More about Systematic evaluation of pyrolysis processes and biochar quality in the operation of low-cost flame curtain pyrolysis kiln for sustainable biochar production..

Structural response of a compliant pipe-in-pipe under frictionless and frictional conditions of the seabed. (2023)
Journal Article
MOHAMMED, A.I., BARTZAS, K., JOHNSON, C., SPENCE, S., SYKES, P., KIDD, G., MCCONNACHIE, J. and NJUGUNA, J. 2023. Structural response of a compliant pipe-in-pipe under frictionless and frictional conditions of the seabed. Ocean engineering [online], 276, article 114020. Available from: https://doi.org/10.1016/j.oceaneng.2023.114020

Pipe-in-Pipe (PIP) technology has been studied significantly owing to its superior performance in deep-water and high-pressure high temperature fields than conventional single pipe. The PIP system has excellent track record of mitigating flow assuran... Read More about Structural response of a compliant pipe-in-pipe under frictionless and frictional conditions of the seabed..

An artificial lift selection approach using machine learning: a case study in Sudan. (2023)
Journal Article
MAHDI, M.A.A., AMISH, M. and OLUYEMI, G. 2023. An artificial lift selection approach using machine learning: a case study in Sudan. Energies [online], 16(6), article number 2853. Available from: https://doi.org/10.3390/en16062853

This article presents a machine learning (ML) application to examine artificial lift (AL) selection, using only field production datasets from a Sudanese oil field. Five ML algorithms were used to develop a selection model, and the results demonstrat... Read More about An artificial lift selection approach using machine learning: a case study in Sudan..

An improved variable forgetting factor recursive least square-double extend Kalman filtering based on global mean particle swarm optimization algorithm for collaborative state of energy and state of health estimation of lithium-ion batteries. (2023)
Journal Article
LONG, T., WANG, S., CAO, W., ZHOU, H. and FERNANDEZ, C. 2023. An improved variable forgetting factor recursive least square-double extend Kalman filtering based on global mean particle swarm optimization algorithm for collaborative state of energy and state of health estimation of lithium-ion batteries. Electrochimica acta [online], 450, article 142270. Available from: https://doi.org/10.1016/j.electacta.2023.142270

Accurate assessment of SOE and SOH is a critical issue in the battery management system. This paper proposes an improved variable forgetting factor recursive least square-double extend Kalman filtering algorithm based on global mean particle swarm op... Read More about An improved variable forgetting factor recursive least square-double extend Kalman filtering based on global mean particle swarm optimization algorithm for collaborative state of energy and state of health estimation of lithium-ion batteries..

On the elusivity of dynamic optimisation problems. (2023)
Journal Article
ALZA, J., BARTLETT, M., CEBERIO, J. and MCCALL, J. 2023. On the elusivity of dynamic optimisation problems. Swarm and evolutionary computation [online], 78, article 101289. Available from: https://doi.org/10.1016/j.swevo.2023.101289

The field of dynamic optimisation continuously designs and compares algorithms with adaptation abilities that deal with changing problems during their search process. However, restarting the search algorithm after a detected change is sometimes a bet... Read More about On the elusivity of dynamic optimisation problems..

A hybrid probabilistic correction model for the state of charge estimation of lithium-ion batteries considering dynamic currents and temperatures. (2023)
Journal Article
TAKYI-ANINAKWA, P., WANG, S., ZHANG, H., YANG, X. and FERNANDEZ, C. 2023. A hybrid probabilistic correction model for the state of charge estimation of lithium-ion batteries considering dynamic currents and temperatures. Energy [online], 273, article 127231. Available from: https://doi.org/10.1016/j.energy.2023.127231

Accurately estimating the state of charge (SOC) of lithium-ion batteries by the battery management system (BMS) is crucial for safe electric vehicle (EV) operations. This paper proposes a SOC estimation method for lithium-ion batteries based on a dee... Read More about A hybrid probabilistic correction model for the state of charge estimation of lithium-ion batteries considering dynamic currents and temperatures..

Advances in sustainable nanocomposites. (2023)
Journal Article
SAHARUDIN, M.S., ILYAS, R.A., AWANG, N., HASBI, S., SHYHA, I. and INAM, F. 2023. Advances in sustainable nanocomposites. Sustainability [online], 15(6), article number 5125. Available from: https://doi.org/10.3390/su15065125

Advances in Sustainable Nanocomposites is a newly opened Special Issue of Sustainability, which aims to publish original and review papers on the new scientific development of sustainable nanocomposite materials that are accelerated by zero-carbon po... Read More about Advances in sustainable nanocomposites..

Contour extraction of medical images using an attention-based network. (2023)
Journal Article
LV, J.J., CHEN, H.Y., LI, J.W., LIN, K.H., CHEN, R.J., WANG, L.J., ZENG, X.X., REN, J.C. and ZHAO, H.M. 2023. Contour extraction of medical images using an attention-based network. Biomedical signal processing and control [online], 84, article 104828. Available from: https://doi.org/10.1016/j.bspc.2023.104828

A comprehensive analysis of medical images is important, as it assists in early screening and clinical treatment as well as subsequent rehabilitation. In general, the contour information can elaborately describe the shape and size of lesions in a med... Read More about Contour extraction of medical images using an attention-based network..

Mutation based improved dragonfly optimization algorithm for a neuro-fuzzy system in short term wind speed forecasting. (2023)
Journal Article
PARMAKSIZ, H., YUZGEC, U., DOKUR, E. and ERDOGAN, N. 2023. Mutation based improved dragonfly optimization algorithm for a neuro-fuzzy system in short term wind speed forecasting. Knowledge-based systems [online], 268, article 110472. Available from: https://doi.org/10.1016/j.knosys.2023.110472

The Dragonfly algorithm (DA) is a heuristic optimization algorithm that is commonly used for complex optimization problems. Despite its widespread application, the abundance of social behaviors in its construct can lead to poor accuracy in solutions... Read More about Mutation based improved dragonfly optimization algorithm for a neuro-fuzzy system in short term wind speed forecasting..

Corrosion monitoring at the interface using sensors and advanced sensing materials: methods, challenges and opportunities. (2023)
Journal Article
RAJENDRAN, V., PRATHURU, A., FERNANDEZ, C. and FAISAL, N.H. 2023. Corrosion monitoring at the interface using sensors and advanced sensing materials: methods, challenges and opportunities. Corrosion engineering, science and technology [online], 58(3), pages 281-321. Available from: https://doi.org/10.1080/1478422X.2023.2180195

Detecting and monitoring of corrosion is one of the major challenges in insulated metallic structures, or structures with one or more than one interface. This review paper aims to consolidate scattered literature on laboratory system-based corrosion... Read More about Corrosion monitoring at the interface using sensors and advanced sensing materials: methods, challenges and opportunities..

Recent advances in MXene composites research, applications and opportunities. (2023)
Journal Article
SAHARUDIN, M.S., AYUB, A., HASBI, S., MUHAMMAD-SUKKI, F., SHYHA, I. and INAM, F. [2023]. Recent advances in MXene composites research, applications and opportunities. Materials today: proceedings [online], In Press. Proceedings of the 2022 Composite sciences and technology international conference (COMSAT2022), 22-23 August 2022, Johor, Malaysia. Available from: https://doi.org/10.1016/j.matpr.2023.02.435

MXene composites have emerged as a promising class of materials due to their exceptional properties and versatility in various applications. In recent years, researchers have made significant progress in the development and characterization of MXene... Read More about Recent advances in MXene composites research, applications and opportunities..

A novel combined estimation method for state of energy and predicted maximum available energy based on fractional-order modeling. (2023)
Journal Article
CHEN, L., WANG, S., JIANG, H. and FERNANDEZ, C. 2023. A novel combined estimation method for state of energy and predicted maximum available energy based on fractional-order modeling. Journal of energy storage [online], 62, article 106930. Available from: https://doi.org/10.1016/j.est.2023.106930

Although accurate SOE estimation can enhance the reliability of residual energy prediction, the environmental temperature, parameter coupling, and multiple state constraints increase the difficulty of obtaining SOE accurately. A combined estimation m... Read More about A novel combined estimation method for state of energy and predicted maximum available energy based on fractional-order modeling..

Design and achievement of superfilling electroless silver deposition for micrometer trenches. (2023)
Journal Article
WANG, X., MA, W. and FERNANDEZ, C. 2023. Design and achievement of superfilling electroless silver deposition for micrometer trenches. Surface engineering and applied electrochemistry [online], 59(1), pages 15-19. Available from: https://doi.org/10.3103/S1068375523010143

Electroless silver bottom-up filling has been designed and investigated by linear sweep voltammetry. It was found that the addition of polyethylene glycol 4000 (PEG 4000) had a good inhibitory effect on the electrode reaction. Experiments showed that... Read More about Design and achievement of superfilling electroless silver deposition for micrometer trenches..

Multi-time scale identification of key kinetic processes for lithium-ion batteries considering variable characteristic frequency. (2023)
Journal Article
SHI, H., WANG, S., LIANG, J., TAKYI-ANINAKWA, P., YANG, X., FERNANDEZ, C. and WANG, L. 2023. Multi-time scale identification of key kinetic processes for lithium-ion batteries considering variable characteristic frequency. Journal of energy chemistry [online], 82, pages 521-536. Available from: https://doi.org/10.1016/j.jechem.2023.02.022

The electrification of vehicles puts forward higher requirements for the power management efficiency of integrated battery management systems as the primary or sole energy supply. In this paper, an efficient adaptive multi-time scale identification s... Read More about Multi-time scale identification of key kinetic processes for lithium-ion batteries considering variable characteristic frequency..

Optimized multi-hidden layer long short-term memory modeling and suboptimal fading extended Kalman filtering strategies for the synthetic state of charge estimation of lithium-ion batteries. (2023)
Journal Article
XIE, Y., WANG, S., ZHANG, G., FAN, Y., FERNANDEZ, C. and BLAABJERG, F. 2023. Optimized multi-hidden layer long short-term memory modeling and suboptimal fading extended Kalman filtering strategies for the synthetic state of charge estimation of lithium-ion batteries. Applied energy [online], 336, article 120866. Available from: https://doi.org/10.1016/j.apenergy.2023.120866

With the demand for high-endurance lithium-ion batteries in new energy vehicles, communication and portable devices, high energy density lithium-ion batteries have become the main research direction of the battery industry. State of Charge (SoC), as... Read More about Optimized multi-hidden layer long short-term memory modeling and suboptimal fading extended Kalman filtering strategies for the synthetic state of charge estimation of lithium-ion batteries..

Stability of viscous lubricated thin film down an inclined plane beneath ambient lighter non miscible static liquid. (2023)
Journal Article
MASKONI, A., LATRACHE, N., KHOSHKONESH, A., ASIM, T., POLIDORI, G., MISHRA, R. and NSOM, B. 2023. Stability of viscous lubricated thin film down an inclined plane beneath ambient lighter non miscible static liquid. International journal of condition monitoring and diagnostic engineering management (COMADEM) [online], 26(1), pages 5-12. Available from: https://apscience.org/comadem/index.php/comadem/article/view/353

This paper considers the stability of a thin film propagating beneath a large quantity of ambient static non miscible lighter liquid and over a sloping plane. Such configuration that has never been considered earlier can model the spill of a heavy hy... Read More about Stability of viscous lubricated thin film down an inclined plane beneath ambient lighter non miscible static liquid..

A PESTEL and SWOT impact analysis on renewable energy development in Togo. (2023)
Journal Article
KANSONGUE, N., NJUGUNA, J. and VERTIGANS, S. 2023. A PESTEL and SWOT impact analysis on renewable energy development in Togo. Frontiers in sustainability [online], 3, article 990173. Available from: https://doi.org/10.3389/frsus.2022.990173

Like most developing countries, Togo continues to rely on the use of traditional forms of biomass energy which causes tremendous socio-economic, environmental and health hazards. In addition, the imbalanced distribution and use of electricity, petrol... Read More about A PESTEL and SWOT impact analysis on renewable energy development in Togo..