All Outputs (351)

Novel improved particle swarm optimization-extreme learning machine algorithm for state of charge estimation of lithium-Ion batteries. (2022)
Journal Article
ZHANG, C., WANG, S., YU, C., XIE, Y. and FERNANDEZ, C. 2022. Novel improved particle swarm optimization-extreme learning algorithm for state of charge estimation of lithium-ion batteries. Industrial and engineering chemistry research [online], 61(46), pages 17209-17217. Available from: https://doi.org/10.1021/acs.iecr.2c02476

Incisively estimating the state of charge (SOC) of lithium-ion batteries is essential to ensure the safe and stable operation of a battery management system. Neural network methods do not depend on a specific lithium-ion battery model and are able to... Read More about Novel improved particle swarm optimization-extreme learning machine algorithm for state of charge estimation of lithium-Ion batteries..

Research on the state of charge estimation method of lithium-ion batteries based on novel limited memory multi-innovation least squares method and SDE-2-RC equivalent model. (2022)
Journal Article
CAO, J., WANG, S., XIE, Y. and FERNANDEZ, C. 2023. Research on the state of charge estimation method of lithium-ion batteries based on novel limited memory multi-innovation least squares method and SDE-2-RC equivalent model. International journal of circuit theory and applications [online], 51(4), pages 1902-1917. Available from: https://doi.org/10.1002/cta.3500/

Because of the common data redundancy phenomenon in the current least-squares parameter identification algorithm and the complex offline parameter identification process, this research innovatively proposes a Limited Memory Multi-Innovation Least Squ... Read More about Research on the state of charge estimation method of lithium-ion batteries based on novel limited memory multi-innovation least squares method and SDE-2-RC equivalent model..

Numerical prediction of the effect of thermal plume of a standing human on the airborne aerosol flow in a room: assessment of the social distancing rule. (2022)
Journal Article
HOSSAIN, M., CHINENYE-KANU, N., FAISAL, N.H., PRATHURU, A., ASIM, T. and BANIK, S. 2023. Numerical prediction of the effect of thermal plume of a standing human on the airborne aerosol flow in a room: assessment of the social distancing rule. Aerosol science and engineering [online], 7(1), pages 96-106. Available from: https://doi.org/https://doi.org/10.1007/s41810-022-00165-2

The purpose of the study is to investigate the dispersion of droplet nuclei/aerosol which are produced during coughing and continuous talking to quantify the risk of infection due to airborne disease transmission. A three-dimensional modelling of aer... Read More about Numerical prediction of the effect of thermal plume of a standing human on the airborne aerosol flow in a room: assessment of the social distancing rule..

An optimized long short-term memory-weighted fading extended Kalman filtering model with wide temperature adaptation for the state of charge estimation of lithium-ion batteries. (2022)
Journal Article
TAKYI-ANINAKWA, P., WANG, S., ZHANG, H., YANG, X. and FERNANDEZ, C. 2022. An optimized long short-term memory-weighted fading extended Kalman filtering model with wide temperature adaptation for the state of charge estimation of lithium-ion batteries. Applied energy [online], 326, article 120043. Available from: https://doi.org/10.1016/j.apenergy.2022.120043

Accurate state of charge (SOC) estimation at different operating temperatures is essential for the reliable and safe operation of battery management systems (BMS) for lithium-ion batteries in electric vehicles (EVs). In this paper, an optimized long-... Read More about An optimized long short-term memory-weighted fading extended Kalman filtering model with wide temperature adaptation for the state of charge estimation of lithium-ion batteries..

In conversation: a poetics of empathy: Helen Mayer Harrison and Newton Harrison. (2022)
Journal Article
DOUGLAS, A. and FREMANTLE, C. 2022. In conversation: a poetics of empathy: Helen Mayer Harrison and Newton Harrison. Women eco artists dialog magazine [online], 13: the art of empathy. Available from: https://directory.weadartists.org/in-conversation-a-poetics-of-empathy

Helen Mayer Harrison and Newton Harrison are pioneers in the creative development of art and ecology. It was Helen who read Rachel Carson's Silent Spring, a critical influence in their decision in the early 1970s to do no work that did not in some wa... Read More about In conversation: a poetics of empathy: Helen Mayer Harrison and Newton Harrison..

An investigation of movement dynamics and muscle activity during traditional and accentuated-eccentric squatting. (2022)
Journal Article
ARMSTRONG, R., BALTZOPOULOS, V., LANGAN-EVANS, C., CLARK, D., JARVIS, J., STEWART, C. and O'BRIEN, T. 2022. An investigation of movement dynamics and muscle activity during traditional and accentuated-eccentric squatting. PLoS ONE [online], 17(11), article number e0276096. Available from: https://doi.org/10.1371/journal.pone.0276096

Accentuated-eccentric loading (AEL) takes advantage of the high force producing potential of eccentric muscle contractions, potentially maximising mechanical tension within the muscle. However, evidence is lacking on how AEL squatting may load the in... Read More about An investigation of movement dynamics and muscle activity during traditional and accentuated-eccentric squatting..

A multi-objective decision framework for the selection of feasible and viable hybrid renewable energy systems in energy-constrain communities. (2022)
Journal Article
JOHNSON, Z.S., ABAKAR, Y.A., SHANMUGAM, S.A. and CHAN, A. 2023. A multi-objective decision framework for the selection of feasible and viable hybrid renewable energy systems in energy-constrain communities. International journal of renewable energy technology [online], 14(1), pages 92-113. Available from: https://doi.org/10.1504/IJRET.2023.127569

Choosing the appropriate system configuration that meets the multi-objectives of profit-making and environmental protection is always a critical decision for both entrepreneurs and the government. The choice is complicated primarily if several possib... Read More about A multi-objective decision framework for the selection of feasible and viable hybrid renewable energy systems in energy-constrain communities..

Use of membrane technology to enhance the integration of hydrogen into processing and manufacturing. (2022)
Journal Article
GOBINA, E., GIWA, A. and BEN-ARON, A. 2022. Use of membrane technology to enhance the integration of hydrogen into processing and manufacturing. Membrane technology [online], 22(8), article 70088-2. Available from: https://doi.org/10.12968/S0958-2118(22)70088-2

Membranes are at the heart of the green hydrogen economy and are used at every stage along the infrastructure highway – from production of the gas to its end use. This article looks at the role membranes play in electrolysers, and carbon capture and... Read More about Use of membrane technology to enhance the integration of hydrogen into processing and manufacturing..

The suboptimal fibrinolytic response in COVID-19 is dictated by high PAI-1. (2022)
Journal Article
WHYTE, C.S., SIMPSON, M., MORROW, G.B., WALLACE, C.A., MENTZER, A.J., KNIGHT, J.C., SHAPIRO, S., CURRY, N., BAGOT, C.N., WATSON, H., COOPER, J.G. and MUTCH, N.J. 2022. The suboptimal fibrinolytic response in COVID-19 is dictated by high PAI-1. Journal of thrombosis and haemostasis [online], 20(10), pages 2394-2406. Available from: https://doi.org/10.1111/jth.15806

Severe COVID-19 disease is associated with thrombotic complications and extensive fibrin deposition. This study investigates whether the hemostatic complications in COVID-19 disease arise due to dysregulation of the fibrinolytic system. This prospect... Read More about The suboptimal fibrinolytic response in COVID-19 is dictated by high PAI-1..

Privacy goals for the data lifecycle. (2022)
Journal Article
HENRIKSEN-BULMER, J., YUCEL, C., FAILY, S. and CHALKIAS, I. 2022. Privacy goals for the data lifecycle. Future internet [online], 14(11), article number 315. Available from: https://doi.org/10.3390/fi14110315

The introduction of Data Protection by Default and Design (DPbDD) brought in as part of the General Data Protection Regulation (GDPR) in 2018, has necessitated that businesses review how best to incorporate privacy into their processes in a transpare... Read More about Privacy goals for the data lifecycle..

Effect of stator blades on the startup dynamics of a vertical axis wind turbine. (2022)
Journal Article
ASIM, T., SINGH, D., SIDDIQUI, M.S. and MCGLINCHEY, D. 2022. Effect of stator blades on the startup dynamics of a vertical axis wind turbine. Energies [online], 15(21), 8135. Available from: https://doi.org/10.3390/en15218135

Vertical Axis Wind Turbines (VAWTs) are omni-directional, low-cost, low-efficiency wind power extractors. A conventional drag-based VAWT consists of multiple thin rotor blades with a typical peak Tip Speed Ratio (λ) of less than 1. Their lower cut-in... Read More about Effect of stator blades on the startup dynamics of a vertical axis wind turbine..

Suppressing cyanobacterial dominance by UV-LED TiO2-photocatalysis in a drinking water reservoir: a mesocosm study. (2022)
Journal Article
PESTANA, C.J., SANTOS, A.A., CAPELO-NETO, J. et al. 2022. Suppressing cyanobacterial dominance by UV-LED TiO2-photocatalysis in a drinking water reservoir: a mesocosm study. Water research [online], 226, article 119299. Available from: https://doi.org/10.1016/j.watres.2022.119299

Cyanobacteria and their toxic secondary metabolites present challenges for water treatment globally. In this study we have assessed TiO2 immobilized onto recycled foamed glass beads by a facile calcination method, combined in treatment units with 365... Read More about Suppressing cyanobacterial dominance by UV-LED TiO2-photocatalysis in a drinking water reservoir: a mesocosm study..

Combustion characterization of hybrid methane-hydrogen gas in domestic swirl stoves. (2022)
Journal Article
LIU, X., ZHU, G., ASIM, T. and MISHRA, R. 2022. Combustion characterization of hybrid methane-hydrogen gas in domestic swirl stoves. Fuel [online], 333(Part 2), article 126413. Available from: https://doi.org/10.1016/j.fuel.2022.126413

Combustion of hybrid natural gas (methane) and hydrogen mixture in domestic swirl stoves has been characterized using hot-state experiments and numerical analysis. The detailed combustion mechanism of methane and hydrogen (GRI-Mech 3.0) has been simp... Read More about Combustion characterization of hybrid methane-hydrogen gas in domestic swirl stoves..

Improved anti-noise adaptive long short-term memory neural network modeling for the robust remaining useful life prediction of lithium-ion batteries. (2022)
Journal Article
WANG, S., FAN, Y., JIN, S., TAKYI-ANINAKWA, P. and FERNANDEZ, C. 2023. Improved anti-noise adaptive long short-term memory neural network modeling for the robust remaining useful life prediction of lithium-ion batteries. Reliability engineering and system safety [online], 230, article 108920. Available from: https://doi.org/10.1016/j.ress.2022.108920

Safety assurance is essential for lithium-ion batteries in power supply fields, and the remaining useful life (RUL) prediction serves as one of the fundamental criteria for the performance evaluation of energy and storage systems. Based on an improve... Read More about Improved anti-noise adaptive long short-term memory neural network modeling for the robust remaining useful life prediction of lithium-ion batteries..

The influence of socio-cultural factors on knowledge-based innovation and the digital economy. (2022)
Journal Article
VLASOV, M., POLBITSYN, S.N., OLUMEKOR, M. and OKE, A. 2022. The influence of socio-cultural factors on knowledge-based innovation and the digital economy. Journal of open innovation: technology, market, and complexity [online], 8(4), article 194. Available from: https://doi.org/10.3390/joitmc8040194

The knowledge economy, fostered by knowledge-based innovation, has been linked to entrepreneurial and economic success, especially in OECD countries. Studies have shown the influence of socio-cultural factors on almost every area of economic behavior... Read More about The influence of socio-cultural factors on knowledge-based innovation and the digital economy..

The impact of coronavirus disease 2019 on genitourinary and prostate cancer care and clinical trials: a qualitative exploration of the Australian and New Zealand experience. (2022)
Journal Article
ROBERTS, N.A., DHILLON, H.M., PATERSON, C., SCHUBACH, K., MCJANNETT, M., and the AUSTRALIAN AND NEW ZEALAND UROGENITAL AND PROSTATE CANCER TRIALS GROUP. 2023. The impact of coronavirus disease 2019 on genitourinary and prostate cancer care and clinical trials: a qualitative exploration of the Australian and New Zealand experience. Asia-Pacific journal of clinical oncology [online], 19(3), pages 337-346. Available from: https://doi.org/10.1111/ajco.13847

This qualitative study aimed to understand the impact of the coronavirus disease 2019 pandemic from March to November 2020 on healthcare delivery and clinical trials for genitourinary (GU) cancers in Australia. Methods: Annually a pre‐conference work... Read More about The impact of coronavirus disease 2019 on genitourinary and prostate cancer care and clinical trials: a qualitative exploration of the Australian and New Zealand experience..

A novel multiple training-scale dynamic adaptive cuckoo search optimized long short-term memory neural network and multi-dimensional health indicators acquisition strategy for whole life cycle health evaluation of lithium-ion batteries. (2022)
Journal Article
REN, P., WANG, S., CHEN, X., ZHOU, H., FERNANDEZ, C. and STROE, D.-I. 2022. A novel multiple training-scale dynamic adaptive cuckoo search optimized long short-term memory neural network and multi-dimensional health indicators acquisition strategy for whole life cycle health evaluation of lithium-ion batteries. Electrochimica Acta [online], 435, article 141404. Available from: https://doi.org/10.1016/j.electacta.2022.141404

State of health evaluation of lithium-ion batteries has become a significant research direction in related fields attributed to the crucial impact on the reliability and safety of electric vehicles. In this research, a dynamic adaptive cuckoo search... Read More about A novel multiple training-scale dynamic adaptive cuckoo search optimized long short-term memory neural network and multi-dimensional health indicators acquisition strategy for whole life cycle health evaluation of lithium-ion batteries..

A novel gradient-guided post-processing method for adaptive image steganography. (2022)
Journal Article
XIE, G., REN, J., MARSHALL, S., ZHAO, H. and LI, R. 2023. A novel gradient-guided post-processing method for adaptive image steganography. Signal processing [online], 203, article 108813. Available from: https://doi.org/10.1016/j.sigpro.2022.108813

Designing an effective cost function has always been the key in image steganography after the development of the near-optimal encoders. To learn the cost maps automatically, the Generative Adversarial Networks (GAN) are often trained from the given c... Read More about A novel gradient-guided post-processing method for adaptive image steganography..

Current development and future challenges in microplastic detection techniques: a bibliometrics-based analysis and review. (2022)
Journal Article
JIN, M., LIU, J., YU, J., ZHOU, Q., WU, W., FU, L., YIN, C., FERNANDEZ, C. and KARIMI-MALEH, H. 2022. Current development and future challenges in microplastic detection techniques: a bibliometrics-based analysis and review. Science progress [online], 105(4), pages 1-22. Available from: https://doi.org/10.1177/003685042211321

Microplastics have been considered a new type of pollutant in the marine environment and have attracted widespread attention worldwide in recent years. Plastic particles with particle size less than 5 mm are usually defined as microplastics. Because... Read More about Current development and future challenges in microplastic detection techniques: a bibliometrics-based analysis and review..

Ambient topologies in the museum route (light, sound, and thermal): the method of analysis and visualization. (2022)
Journal Article
SARAOUI, S., BELAKEHAL, A., ATTAR, A. and BENNADJI, A. 2024. Ambient topologies in the museum route (light, sound, and thermal): the method of analysis and visualization. Museum management and curatorship [online], 39(5), pages 592-629. Available from: https://doi.org/10.1080/09647775.2022.2132990

Defining architectural space comes with multiple and diverse aspects. Our theoretical reflection aims at establishing the base for a new definition, in the sense that theoretical topology, like geometry, is an effective means to define the form of ar... Read More about Ambient topologies in the museum route (light, sound, and thermal): the method of analysis and visualization..