All Outputs (425)

Remaining useful life prediction and state of health diagnosis for lithium-ion batteries based on improved grey wolf optimization algorithm-deep extreme learning machine algorithm. (2023)
Journal Article
ZHOU, Y., WANG, S., XIE, Y., SHEN, X. and FERNANDEZ, C. 2023. Remaining useful life prediction and state of health diagnosis for lithium-ion batteries based on improved grey wolf optimization algorithm-deep extreme learning machine algorithm. Energy [online], 285, article 128761. Available from: https://doi.org/10.1016/j.energy.2023.128761

The prediction of SOH for Lithium-ion battery systems determines the safety of Electric vehicles and stationary energy storage devices powered by LIBs. State of health diagnosis and remaining useful life prediction also rely significantly on excellen... Read More about Remaining useful life prediction and state of health diagnosis for lithium-ion batteries based on improved grey wolf optimization algorithm-deep extreme learning machine algorithm..

A hybrid algorithm based on beluga whale optimization-forgetting factor recursive least square and improved particle filter for the state of charge estimation of lithium-ion batteries. (2023)
Journal Article
SHEN, X., WANG, S., YU, C., QI, C., LI, Z. and FERNANDEZ, C. 2023. A hybrid algorithm based on beluga whale optimization-forgetting factor recursive least square and improved particle filter for the state of charge estimation of lithium-ion batteries. Ionics [online], 29(10), pages 4351-4363. Available from: https://doi.org/10.1007/s11581-023-05147-z

Battery state of charge (SOC) is crucial in power battery management systems for improving the efficiency of battery use and its safety performance. In this paper, we propose a forgotten factor recursive least squares (FFRLS) method based on the belu... Read More about A hybrid algorithm based on beluga whale optimization-forgetting factor recursive least square and improved particle filter for the state of charge estimation of lithium-ion batteries..

Beyond vanilla: improved autoencoder-based ensemble in-vehicle intrusion detection system. (2023)
Journal Article
RAJAPAKSHA, S., KALUTARAGE, H., AL-KADRI, M.O., PETROVSKI, A. and MADZUDZO, G. 2023. Beyond vanilla: improved autoencoder-based ensemble in-vehicle intrusion detection system. Journal of information security and applications [online], 77, article number 103570. Available from: https://doi.org/10.1016/j.jisa.2023.103570

Modern automobiles are equipped with a large number of electronic control units (ECUs) to provide safe driver assistance and comfortable services. The controller area network (CAN) provides near real-time data transmission between ECUs with adequate... Read More about Beyond vanilla: improved autoencoder-based ensemble in-vehicle intrusion detection system..

Recovery of kidney function after acute kidney disease: a multi-cohort analysis. (2023)
Journal Article
SAWHNEY, S., BALL, W., BELL, S. BLACK, C., CHRISTIANSEN, C.F., HEIDE-JØRGENSEN, U., JENSEN, S.K., LAMBOURG, E., RONKSLEY, P.E., TAN, Z., TONELLI, M. and JAMES, M.T. 2024. Recovery of kidney function after acute kidney disease: a multi-cohort analysis. Nephrology dialysis transplantation [online], 39(3), pages 426-435. Available from: https://doi.org/10.1093/ndt/gfad180

There are no consensus definitions for evaluating kidney function recovery after acute kidney injury (AKI) and acute kidney disease (AKD), nor is it clear how recovery varies across populations and clinical subsets. We present a federated analysis of... Read More about Recovery of kidney function after acute kidney disease: a multi-cohort analysis..

Improved fractional-order hysteresis-equivalent circuit modeling for the online adaptive high-precision state of charge prediction of urban-electric-bus lithium-ion batteries. (2023)
Journal Article
ZENG, J., WANG, S., CAO, W., ZHANG, M., FERNANDEZ, C. and GUERRERO, J.M. 2024. Improved fractional-order hysteresis-equivalent circuit modeling for the online adaptive high-precision state of charge prediction of urban-electric-bus lithium-ion batteries. International journal of circuit theory and application [online], 52(1), pages 420-438. Available from: https://doi.org/10.1002/cta.3767

Accurate state of charge (SOC) estimation is based on a precise battery model and is the focus of the battery management system (BMS). First, based on the second-order RC equivalent circuit model and Grunwald-Letnikov (G-L) definition, the high-preci... Read More about Improved fractional-order hysteresis-equivalent circuit modeling for the online adaptive high-precision state of charge prediction of urban-electric-bus lithium-ion batteries..

Extraordinary claims in the literature on high-intensity interval training (HIIT): I. Bonafide scientific revolution or a looming crisis of replication and credibility? (2023)
Journal Article
EKKEKAKIS, P., SWINTON, P. and TILLER, N.B. 2023. Extraordinary claims in the literature on high-intensity interval training (HIIT): I. Bonafide scientific revolution or a looming crisis of replication and credibility? Sports medicine [online], 53(10), pages 1865-1890. Available from: https://doi.org/10.1007/s40279-023-01880-7

The literature on high-intensity interval training (HIIT) contains claims that, if true, could revolutionize the science and practice of exercise. This critical analysis examines two varieties of claims: (i) HIIT is effective in improving various ind... Read More about Extraordinary claims in the literature on high-intensity interval training (HIIT): I. Bonafide scientific revolution or a looming crisis of replication and credibility?.

Enhancement of infrared absorption through a patterned thin film of magnetic field and spin-coating directed self-assembly of gold nanoparticle stabilised ferrofluid emulsion. (2023)
Journal Article
OKPOZO, P., DWIVEDI, Y., HUO, D. and PANCHOLI, K. 2023. Enhancement of infrared absorption through a patterned thin film of magnetic field and spin-coating directed self-assembly of gold nanoparticle stabilised ferrofluid emulsion. RSC advances [online], 13(34), pages 23955-23966. Available from: https://doi.org/10.1039/d3ra01369c

Molecular vibration signals were amplified by the gold strip gratings as a result of grating resonances and nearby electric field hotspots. Colloidal gold island films exhibit similar enhancement; however, the uneven geometrical characteristics of th... Read More about Enhancement of infrared absorption through a patterned thin film of magnetic field and spin-coating directed self-assembly of gold nanoparticle stabilised ferrofluid emulsion..

A new rough ordinal priority-based decision support system for purchasing electric vehicles. (2023)
Journal Article
KUCUKSARI, S., PAMUCAR, D., DEVECI, M., ERDOGAN, N. and DELEN, D. 2023. A new rough ordinal priority-based decision support system for purchasing electric vehicles. Information sciences [online], 647, article number 119443. Available from: https://doi.org/10.1016/j.ins.2023.119443

This study proposes a novel multi-criteria decision-making (MCDM) model based on a rough extension of the Ordinal Priority Approach (OPA) to determine the order of importance of users' perspectives on Electric Vehicle (EV) purchases. Unlike conventio... Read More about A new rough ordinal priority-based decision support system for purchasing electric vehicles..

A complete ensemble empirical mode decomposition with adaptive noise deep autoregressive recurrent neural network method for the whole life remaining useful life prediction of lithium-ion batteries. (2023)
Journal Article
ZHANG, C., WANG, S., YU, C., WANG, Y. and FERNANDEZ, C. 2023. A complete ensemble empirical mode decomposition with adaptive noise deep autoregressive recurrent neural network method for the whole life remaining useful life prediction of lithium-ion batteries. Ionics [online], 29(10), pages 4337-4349. Available from: https://doi.org/10.1007/s11581-023-05152-2

The real-time prediction of the remaining useful life (RUL) of lithium-ion batteries provides an effective mean of preventing accidents. An improved adaptive noise-reduction deep learning method is applied to achieve adaptive noise-reduction decompos... Read More about A complete ensemble empirical mode decomposition with adaptive noise deep autoregressive recurrent neural network method for the whole life remaining useful life prediction of lithium-ion batteries..

Exploring clinical decision-making among the uro-oncology multidisciplinary team: a qualitative study. (2023)
Journal Article
ASKELIN, B., HIND, A. and PATERSON, C. 2023. Exploring clinical decision-making among the uro-oncology multidisciplinary team: a qualitative study. Seminars in oncology nursing [online], 39(4), article number 151447. Available from: https://doi.org/10.1016/j.soncn.2023.151447

The aim of this qualitative study was to understand the clinical decision-making process among the genitourinary oncology (GU) multidisciplinary team (MDT) and how patients are engaged in the process. A qualitative descriptive study design was conduc... Read More about Exploring clinical decision-making among the uro-oncology multidisciplinary team: a qualitative study..

Hepatic insulin resistance and related obesity: highlighting the ameliorative role of nutraceuticals, dietary intervention, and pharmaceuticals. (2023)
Journal Article
RAMADAN, N.M., BARBOSA, P.O., ABO EL-MAGD, E.F., ERAKY, S.M. and AL-GAYYAR, M.M.H. 2023. Hepatic insulin resistance and related obesity: highlighting the ameliorative role of nutraceuticals, dietary intervention, and pharmaceuticals. Frontiers in Pharmacology [online], 14, article 1266168. Available from: https://doi.org/10.3389/fphar.2023.1266168

Insulin resistance (IR) is the unifying denominator of all obesity-related metabolic abnormalities. It possesses a definite higher risk of developing type 2 diabetes mellitus and non-alcoholic fatty liver disease (NAFLD). NAFLD is intimately linked t... Read More about Hepatic insulin resistance and related obesity: highlighting the ameliorative role of nutraceuticals, dietary intervention, and pharmaceuticals..

Nurse-led interventions among older adults affected by cancer: an integrative review. (2023)
Journal Article
ALEMANIA, E., HIND, A., SAMARA, J., TURNER, M., RALPH, N. and PATERSON, C. 2023. Nurse-led interventions among older adults affected by cancer: an integrative review. Asia-Pacific journal of oncology nursing [online], 10(10), article 100289. Available from: https://doi.org/10.1016/j.apjon.2023.100289

Aging can introduce significant changes in health, cognition, function, social, and emotional status among older adults affected by cancer. Little is known about how existing nurse-led interventions address the needs of older adults. The objective wa... Read More about Nurse-led interventions among older adults affected by cancer: an integrative review..

Improved singular filtering-Gaussian process regression-long short-term memory model for whole-life-cycle remaining capacity estimation of lithium-ion batteries adaptive to fast aging and multi-current variations. (2023)
Journal Article
WANG, S., WU, F., TAKYI-ANINAKWA, P., FERNANDEZ, C., STROE, D.-I. and HUANG, Q. 2023. Improved singular filtering-Gaussian process regression-long short-term memory model for whole-life-cycle remaining capacity estimation of lithium-ion batteries adaptive to fast aging and multi-current variations. Energy [online], 284, article 128677. Available from: https://doi.org/10.1016/j.energy.2023.128677

For the development of low-temperature power systems in aviation, the transport synergistic carrier optimization of lithium-ions and electrons is conducted to improve the low-temperature adaptability of lithium-ion batteries. In this paper, an improv... Read More about Improved singular filtering-Gaussian process regression-long short-term memory model for whole-life-cycle remaining capacity estimation of lithium-ion batteries adaptive to fast aging and multi-current variations..

Organizational risk and the COVID-19 pandemic. (2023)
Journal Article
SOANE, E., FLIN, R., MACRAE, C. and READER, T.W. 2023. Organizational risk and the COVID-19 pandemic. Journal of occupational and organizational psychology [online], Early View. Available from: https://doi.org/10.1111/joop.12460

Reports of viral pneumonia began circulating in December 2019. COVID-19 was subsequently identified and declared a pandemic by the World Health Organisation in March 2020. The disease's potency and transmissibility have led to infections and deaths a... Read More about Organizational risk and the COVID-19 pandemic..

Three-dimensional singular spectrum analysis for precise land cover classification from UAV-borne hyperspectral benchmark datasets. (2023)
Journal Article
FU, H., SUN, G., ZHANG, L., ZHANG, A., REN, J., JIA, X. and LI, F. 2023. Three-dimensional singular spectrum analysis for precise land cover classification from UAV-borne hyperspectral benchmark datasets. ISPRS journal of photogrammetry and remote sensing [online], 203, pages 115-134. Available from: https://doi.org/10.1016/j.isprsjprs.2023.07.013

The precise classification of land covers with hyperspectral imagery (HSI) is a major research-focused topic in remote sensing, especially using unmanned aerial vehicle (UAV) systems as the abundant data sources have brought severe intra-class spectr... Read More about Three-dimensional singular spectrum analysis for precise land cover classification from UAV-borne hyperspectral benchmark datasets..

A quantum-inspired sensor consolidation measurement approach for cyber-physical systems. (2023)
Journal Article
MEKALA, M.S., SRIVASTAVA, G., GANDOMI, A.H., PARK, J.H. and JUNG, H.-Y. 2024. A quantum-inspired sensor consolidation measurement approach for cyber-physical systems. IEEE transactions on network science and engineering [online], 11(1), pages 511-524. Available from: https://doi.org/10.1109/TNSE.2023.3301402

Cyber-Physical System (CPS) devices interconnect to grab data over a common platform from industrial applications. Maintaining immense data and making instant decision analysis by selecting a feasible node to meet latency constraints is challenging.... Read More about A quantum-inspired sensor consolidation measurement approach for cyber-physical systems..

Rethinking engagement in urban design: reimagining the value of co-design and participation at every stage of planning for autonomous vehicles. (2023)
Journal Article
BELKOURI, D., KHAIRY, L., LAING, R. and LANNG, D.B. 2024. Rethinking engagement in urban design: reimagining the value of co-design and participation at every stage of planning for autonomous vehicles. Archnet-IJAR [online], 18(2), pages 393-408. Available from: https://doi.org/10.1108/arch-04-2023-0110

The practical demonstrations and research which led to the preparation of this paper involved a combination of stakeholder engagement, policy debate and the practical demonstration and testing of autonomous vehicles. By adhering to a design approach... Read More about Rethinking engagement in urban design: reimagining the value of co-design and participation at every stage of planning for autonomous vehicles..

Vitamin D metabolites are associated with musculoskeletal injury in young adults: a prospective cohort study. (2023)
Journal Article
CARSWELL, A.T., O'LEARY, T.J., SWINTON, P., JACKSON, S., TANG, J.C.Y., OLIVER, S.J., IZARD, R.M., WALSH, N.P., FRASER, W.D. and GREEVES, J.P. 2023. Vitamin D metabolites are associated with musculoskeletal injury in young adults: a prospective cohort study. Journal of bone and mineral research [online], 38(10), pages 1453-1464. Available from: https://doi.org/10.1002/jbmr.4890

The relationship between vitamin D metabolites and lower body (pelvis and lower limb) overuse injury is unclear. In a prospective cohort study, we investigated the association between vitamin D metabolites and incidence of lower body overuse musculos... Read More about Vitamin D metabolites are associated with musculoskeletal injury in young adults: a prospective cohort study..

Implementation of the national antimicrobial stewardship competencies for UK undergraduate healthcare professional education within undergraduate pharmacy programmes: a survey of UK schools of pharmacy. (2023)
Journal Article
HAMILTON, R.A., COURTENAY, M., FROST, K.J., HARRISON, R., ROOT, H., ALLISON, D.G., TONNA, A.P., ASHIRU-OREDOPE, D., ALDEYAB, M.A., SHEMILT, K. and MARTIN, S.J. 2023. Implementation of the national antimicrobial stewardship competencies for UK undergraduate healthcare professional education within undergraduate pharmacy programmes: a survey of UK schools of pharmacy. JAC-antimicrobial resistance [online], 5(4), article dlad095. Available from: https://doi.org/10.1093/jacamr/dlad095

Pharmacists play a key role in antimicrobial stewardship (AMS). Consensus-based national AMS competencies for undergraduate healthcare professionals in the UK reflect the increasing emphasis on competency-based healthcare professional education. Howe... Read More about Implementation of the national antimicrobial stewardship competencies for UK undergraduate healthcare professional education within undergraduate pharmacy programmes: a survey of UK schools of pharmacy..

Multi-objective parametric optimization of driver-based electromagnetic sheet metal forming of SS304 using AA6061-T6 driver. (2023)
Journal Article
KHAN, Z., KHAN, M., YOUNAS, M., DANISH, A.S., KHAN, A. and DJAVANROODI, F. 2023. Multi-objective parametric optimization of driver-based electromagnetic sheet metal forming of SS304 using AA6061-T6 driver. Mechanics of advanced materials and structures [online], Latest Articles. Available from: https://doi.org/10.1080/15376494.2023.2235344

This study uses statistical techniques to optimize the electromagnetic forming process for driver-based sheet metal forming with a flat coil. AA6061T6 sheet was used as a driver to form SS304 sheets. The optimization of maximum elongation, die fittin... Read More about Multi-objective parametric optimization of driver-based electromagnetic sheet metal forming of SS304 using AA6061-T6 driver..