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Role of interface in optimisation of polyamide-6/Fe3O4 nanocomposite properties suitable for induction heating. (2023)
Journal Article
GUPTA, R., PANCHOLI, P.V., YU, X., GUPTA, L., STENNING, G.B.G., BUCKNALL, D., FLYNN, D. and PANCHOLI, K. 2023. Role of interface in optimisation of polyamide-6/Fe3O4 nanocomposite properties suitable for induction heating. Nano-structures and nano-objects [online], 34, article number 100973. Available from: https://doi.org/10.1016/j.nanoso.2023.100973

Induction heating of magnetic nanoparticles (MNPs) and localised melting of the surrounding high temperature engineering polymer matrix by generating microscopic or macroscopic eddy currents during magnetisation of a polymer nanocomposite (PMC) is cr... Read More about Role of interface in optimisation of polyamide-6/Fe3O4 nanocomposite properties suitable for induction heating..

Data-driven solution to identify sentiments from online drug reviews. (2023)
Journal Article
HAQUE, R., LASKAR, S.H., KHUSHBU, K.G., HASAN, M.J. and UDDIN, J. 2023. Data-driven solution to identify sentiments from online drug reviews. Computers [online], 12(4), article 87. Available from: https://doi.org/10.3390/computers12040087

With the proliferation of the internet, social networking sites have become a primary source of user-generated content, including vast amounts of information about medications, diagnoses, treatments, and disorders. Comments on previously used medicin... Read More about Data-driven solution to identify sentiments from online drug reviews..

Rapid detection of multi-QR codes based on multistage stepwise discrimination and a compressed mobilenet. (2023)
Journal Article
CHEN, R., HUANG, H., YU, Y., REN, J., WANG, P., ZHAO, H. and LU, X. 2023. Rapid detection of multi-QR codes based on multistage stepwise discrimination and a compressed mobilenet. IEEE internet of things journal [online], 10(18), pages 15966-15979. Available from: https://doi.org/10.1109/JIOT.2023.3268636

Poor real-time performance in multi-QR codes detection has been a bottleneck in QR code decoding based Internet-of-Things (IoT) systems. To tackle this issue, we propose in this paper a rapid detection approach, which consists of Multistage Stepwise... Read More about Rapid detection of multi-QR codes based on multistage stepwise discrimination and a compressed mobilenet..

An improved long short-term memory based on global optimization square root extended Kalman smoothing algorithm for collaborative state of charge and state of energy estimation of lithium-ion batteries. (2023)
Journal Article
WU, F., WANG, S., CAO, W., LONG, T., LIANG, Y. and FERNANDEZ, C. 2023. An improved long short-term memory based on global optimization square root extended Kalman smoothing algorithm for collaborative state of charge and state of energy estimation of lithium-ion batteries. International journal of circuit theory and applications [online], 51(8), pages 3880-3896. Available from: https://doi.org/10.1002/cta.3624

State of charge and state of energy are essential performance indicators of the battery management system and the key to reflecting the remaining capacity of batteries. Aiming at the problems of low precision, long time, and strongly nonlinear system... Read More about An improved long short-term memory based on global optimization square root extended Kalman smoothing algorithm for collaborative state of charge and state of energy estimation of lithium-ion batteries..

A comparative study of anomaly detection methods for gross error detection problems. (2023)
Journal Article
DOBOS, D., NGUYEN, T.T., DANG, T., WILSON, A., CORBETT, H., MCCALL, J. and STOCKTON, P. 2023. A comparative study of anomaly detection methods for gross error detection problems. Computers and chemical engineering [online], 175, article 108263. Available from: https://doi.org/10.1016/j.compchemeng.2023.108263

The chemical industry requires highly accurate and reliable measurements to ensure smooth operation and effective monitoring of processing facilities. However, measured data inevitably contains errors from various sources. Traditionally in flow syste... Read More about A comparative study of anomaly detection methods for gross error detection problems..

Waste bone char-derived adsorbents: characteristics, adsorption mechanism and model approach. (2023)
Journal Article
HART, A., PORBENI, D.W., OMONMHENLE, S. and PERETOMODE, E. 2023. Waste bone char-derived adsorbents: characteristics, adsorption mechanism and model approach. Environmental technology reviews [online], 12(1), pages 175-204. Available from: https://doi.org/10.1080/21622515.2023.2197128

The increase in meat consumption will result in a significant amount of bone being generated as solid waste and causing pollution to the environment. By pyrolysis or gasification, waste bones can be converted into bone char (BC), which can be used as... Read More about Waste bone char-derived adsorbents: characteristics, adsorption mechanism and model approach..

Crystal-defect engineering of electrode materials for energy storage and conversion. (2023)
Journal Article
WANG, J., ZHAO, X., ZOU, G., ZHANG, L., HAN, S., LI, Y., LIU, D., FERNANDEZ, C., LI, L., REN, L. and PENG, Q. 2023. Crystal-defect engineering of electrode materials for energy storage and conversion. Materials today nano [online], 22, article number 100336. Available from: https://doi.org/10.1016/j.mtnano.2023.100336

Crystal-defect engineering (CDE) in electrode materials is an emerging research area for tailoring properties, which opens up unprecedented possibilities not only in battery and catalysis, but also in controlling physical, chemical, and electronic pr... Read More about Crystal-defect engineering of electrode materials for energy storage and conversion..

Evaluation of pulse transit time for different sensing methodologies of arterial waveforms. (2023)
Journal Article
JANJUA, G.M.W., FINLAY, D., GULDENRING, D., HAQ, A.U. and MCLAUGHLIN, J. 2023. Evaluation of pulse transit time for different sensing methodologies of arterial waveforms. IEEE access [online], 11, pages 33928-33933. Available from: https://doi.org/10.1109/ACCESS.2023.3264291

We perform a novel comparative analysis between optically and mechanically derived pulse transit time (PTT), which is a universally employed technique for cuffless blood pressure (BP) estimation. Two inline photoplethysmogram (PPG) sensors were place... Read More about Evaluation of pulse transit time for different sensing methodologies of arterial waveforms..

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..

An improved particle swarm optimization-least squares support vector machine-unscented Kalman filtering algorithm on SOC estimation of lithium-ion battery. (2023)
Journal Article
ZHOU, Y., WANG, S., XIE, Y., ZHU, T. and FERNANDEZ, C. 2024. An improved particle swarm optimization-least squares support vector machine-unscented Kalman filtering algorithm on SOC estimation of lithium-ion battery. International journal of green energy [online], 21(2), pages 376-386. Available from: https://doi.org/10.1080/15435075.2023.2196328

For real-time monitoring and safe control of electrical vehicles, it is important to accurately estimate the state of charge of lithium-ion batteries. A combined data-driven modeling approach based on Least squares support vector machine based on par... Read More about An improved particle swarm optimization-least squares support vector machine-unscented Kalman filtering algorithm on SOC estimation of lithium-ion battery..

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..

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..

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..

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..

Folklore, people, and places: international perspectives on tourism and tradition in storied places. (2023)
Book
HUNTER, J. and IRONSIDE, R. (eds.) 2023. Folklore, people and places: international perspectives on tourism and tradition in storied places. Abingdon: Routledge [online]. Available from: https://doi.org/10.4324/9781003374138

Folklore, People and Place is a contribution towards better understanding the complex interconnectivity of folklore, people and place, across a range of different cultural and geographical contexts. The book showcases a range of international case st... Read More about Folklore, people, and places: international perspectives on tourism and tradition in storied places..