Outputs (267)

Improved lumped electrical characteristic modeling and adaptive forgetting factor recursive least squares-linearized particle swarm optimization full-parameter identification strategy for lithium-ion batteries considering the hysteresis component effect. (2023)
Journal Article
XIE, Y., WANG, S., ZHANG, C., FAN, Y., FERNANDEZ, C. and GUERRERO, J.M. 2023. Improved lumped electrical characteristic modeling and adaptive forgetting factor recursive least squares-linearized particle swarm optimization full-parameter identification strategy for lithium-ion batteries considering the hysteresis component effect. Journal of energy storage [online], 67, article 107597. Available from: https://doi.org/10.1016/j.est.2023.107597

Electric vehicles, as a new green mode of transportation, have put forward higher demand indicators for accurate modeling and efficient parameter identification strategies for lithium-ion batteries. In this paper, a lumped electrical characteristic m... Read More about Improved lumped electrical characteristic modeling and adaptive forgetting factor recursive least squares-linearized particle swarm optimization full-parameter identification strategy for lithium-ion batteries considering the hysteresis component effect..

H-RNet: hybrid relation network for few-shot learning-based hyperspectral image classification. (2023)
Journal Article
LIU, X., DONG, Z., LI, H., REN, J., ZHAO, H., LI, H., CHEN, W. and XIAO, Z. 2023. H-RNet: hybrid relation network for few-shot learning-based hyperspectral image classification. Remote sensing [online], 15(10), article 2497. Available from: https://doi.org/10.3390/rs15102497

Deep network models rely on sufficient training samples to perform reasonably well, which has inevitably constrained their application in classification of hyperspectral images (HSIs) due to the limited availability of labeled data. To tackle this pa... Read More about H-RNet: hybrid relation network for few-shot learning-based hyperspectral image classification..

A novel M-1 structured bidirectional long short term memory-rauch Tung Striebel smoothing algorithm for the joint estimation state of charge and multi-constrained sustained peak power of lithium-ion batteries. (2023)
Journal Article
LONG, T., WANG, S., CAO, W., ZHOU, H., FERNANDEZ, C. and WANG, Y. 2023. A novel M-1 structured bidirectional long short term memory-rauch Tung Striebel smoothing algorithm for the joint estimation state of charge and multi-constrained sustained peak power of lithium-ion batteries. Journal of energy storage [online], 67, article number 107576. Available from: https://doi.org/10.1016/j.est.2023.107576

The estimation of State of Charge (SoC) and State of Power (SoP) of lithium-ion batteries is an important part of battery management system. For the purpose of obtaining high-precision SoC and SoP estimation results, this paper proposes a novel M-1 s... Read More about A novel M-1 structured bidirectional long short term memory-rauch Tung Striebel smoothing algorithm for the joint estimation state of charge and multi-constrained sustained peak power of lithium-ion batteries..

An improved proportional control forgetting factor recursive least square-Monte Carlo adaptive extended Kalman filtering algorithm for high-precision state-of-charge estimation of lithium-ion batteries. (2023)
Journal Article
ZHU, C., WANG, S., YU, C., ZHOU, H. and FERNANDEZ, C. 2023. An improved proportional control forgetting factor recursive least square-Monte Carlo adaptive extended Kalman filtering algorithm for high-precision state-of-charge estimation of lithium-ion batteries. Journal of solid state electrochemistry [online], 27(9), pages 2277-2287. Available from: https://doi.org/10.1007/s10008-023-05514-w

For lithium-ion batteries, the state of charge (SOC) of batteries plays an important role in the battery management system, and the accuracy of the battery model and parameter identification is the basis of SOC estimation. Considering that the system... Read More about An improved proportional control forgetting factor recursive least square-Monte Carlo adaptive extended Kalman filtering algorithm for high-precision state-of-charge estimation of lithium-ion batteries..

Enhanced multi-state estimation methods for lithium-ion batteries considering temperature uncertainties. (2023)
Journal Article
TAKYI-ANINAKWA, P., WANG, S., ZHANG, H., XIAO, Y. and FERNANDEZ, C. 2023. Enhanced multi-state estimation methods for lithium-ion batteries considering temperature uncertainties. Journal of energy storage [online], 66, article number 107495. Available from: https://doi.org/10.1016/j.est.2023.107495

Due to their high energy density and minimal emissions, lithium-ion batteries are frequently employed in electric vehicles (EVs). Accurate estimation of the micro-parameters, state of charge (SOC), and state of health (SOH) are a few primary monitori... Read More about Enhanced multi-state estimation methods for lithium-ion batteries considering temperature uncertainties..

Rethinking densely connected convolutional networks for diagnosing infectious diseases. (2023)
Journal Article
PODDER, P., ALAM, F.B., MONDAL, M.R.H., HASAN, M.J., ROHAN, A. and BHARATI, S. 2023. Rethinking densely connected convolutional networks for diagnosing infectious diseases. Computers [online], 12(5), article 95. Available from: https://doi.org/10.3390/computers12050095

Due to its high transmissibility, the COVID-19 pandemic has placed an unprecedented burden on healthcare systems worldwide. X-ray imaging of the chest has emerged as a valuable and cost-effective tool for detecting and diagnosing COVID-19 patients. I... Read More about Rethinking densely connected convolutional networks for diagnosing infectious diseases..

Numerical investigations of a swirling two-phase air-water upward flow in straight and convergent vertical pipe. (2023)
Journal Article
MANIMARAN, R., KUMAR, M.S., KARUNAMURTHY, K. and HOSSAIN, M. 2023. Numerical investigations of a swirling two-phase air-water upward flow in straight and convergent vertical pipe. International journal of fluid mechanics research [online], 50(2), pages 31-57. Available from: https://doi.org/10.1615/InterJFluidMechRes.2023048031

In this paper, a numerical study is presented to analyze the flow parameters such as longitudinal and transverse velocities, hydrodynamic pressure, and volume fraction inside a vertical pipe. A vertical ascending swirl flow is established with the sp... Read More about Numerical investigations of a swirling two-phase air-water upward flow in straight and convergent vertical pipe..

The energy transition, critical minerals and industrialisation in sub-Saharan Africa: needs, opportunities, and strategies. (2023)
Book Chapter
ACHEAMPONG, T. and MENYEH, B.O. 2023. The energy transition, critical minerals and industrialisation in sub-Saharan Africa. In Nalule, V.R. (eds.) Mining law and governance in Africa: transformation and innovation for a sustainable mining sector. Abingdon: Routledge [online], chapter 2, pages 22-45. Available from: https://doi.org/10.4324/9781003284437-3

The energy transition, evidenced by continuing resolutions to limit fossil fuel production and consumption to tackle climate change, has become one of the most hotly debated contemporary geopolitical issues. On the other hand, Sub-Saharan Africa (SSA... Read More about The energy transition, critical minerals and industrialisation in sub-Saharan Africa: needs, opportunities, and strategies..

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..

Characterisation of microplastics is key for reliable data interpretation. (2023)
Journal Article
MOURA, D.S., PESTANA, C.J., MOFFAT, C.F., HUI, J., IRVINE, J.T.S. and LAWTON, L.A. 2023. Characterisation of microplastics is key for reliable data interpretation. Chemosphere [online], 331, article number 138691. Available from: https://doi.org/10.1016/j.chemosphere.2023.138691

Microplastic research has gained attention due to the increased detection of microplastics (<5 mm size) in the aquatic environment. Most laboratory-based research of microplastics is performed using microparticles from specific suppliers with either...

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..