Outputs (267)

A novel square-root adaptive unscented Kalman filtering method for accurate state-of-charge estimation of lithium-ion batteries. (2022)
Journal Article
WANG, S., GAO, H., QIAO, J., CAO, J. and FERNANDEZ, C. 2022. A novel square-root adaptive unscented kalman filtering method for accurate state-of-charge estimation of lithium-ion batteries. International journal of electrochemical science [online], 17(7), article ID 220735. Available from: https://doi.org/10.20964/2022.07.46

The accurate state-of-charge estimation of the lithium-ion battery is one of the key technologies to benchmark the rapid development of new energy vehicles. Unscented Kalman filtering abandons the traditional way of forcing the system to linearize, s... Read More about A novel square-root adaptive unscented Kalman filtering method for accurate state-of-charge estimation of lithium-ion batteries..

A novel 2-RC equivalent model based on the self-discharge effect for accurate state-of-charge estimation of lithium-ion batteries. (2022)
Journal Article
WANG, S., CAO, J., XIE, Y., GAO, H. and FERNANDEZ, C. 2022. A novel 2-RC equivalent model based on the self-discharge effect for accurate state-of-charge estimation of lithium-ion batteries. International journal of electrochemical science [online], 17(7), article 22072. Available from: https://doi.org/10.20964/2022.07.60

Accurate lithium-ion battery state-of-charge estimation and effective equivalent modeling are important for real-time status monitoring and safety control of lithium-ion batteries. To solve the problem of low accuracy of the second-order RC equivalen... Read More about A novel 2-RC equivalent model based on the self-discharge effect for accurate state-of-charge estimation of lithium-ion batteries..

A novel adaptive H-infinity filtering method for the accurate SOC estimation of lithium-ion batteries based on optimal forgetting factor selection. (2022)
Journal Article
LIU, Y., WANG, S., XIE, Y., FERNANDEZ, C., QIU, J. and ZHANG, Y. 2022. A novel adaptive H-infinity filtering method for the accurate SOC estimation of lithium-ion batteries based on optimal forgetting factor selection. International journal of circuit theory and applications [online], 50(10), pages 3372-3386. Available from: https://doi.org/10.1002/cta.3339

Accurate estimation of the state of charge (SOC) of lithium-ion batteries is quite crucial to battery safety monitoring and efficient use of energy; to improve the accuracy of lithium-ion battery SOC estimation under complicated working conditions, t... Read More about A novel adaptive H-infinity filtering method for the accurate SOC estimation of lithium-ion batteries based on optimal forgetting factor selection..

IR-capsule: two-stream network for face forgery detection. (2022)
Journal Article
LIN, K., HAN, W., LI, S., GU, Z., ZHAO, H., REN, J., ZHU, L. and LV, J. 2023 IR-capsule: two-stream network for face forgery detection. Cognitive computation [online], 15(1), pages 13-22. Available from: https://doi.org/10.1007/s12559-022-10008-4

With the emergence of deep learning, generating forged images or videos has become much easier in recent years. Face forgery detection, as a way to detect forgery, is an important topic in digital media forensics. Despite previous works having made r... Read More about IR-capsule: two-stream network for face forgery detection..

SC2Net: a novel segmentation-based classification network for detection of COVID-19 in chest X-ray images. (2022)
Journal Article
ZHAO, H., FANG, Z., REN, J., MACLELLAN, C., XIA, Y., SUN, M. and REN, K. 2022. SC2Net: a novel segmentation-based classification network for detection of COVID-19 in chest X-ray images. IEEE journal of biomedical and health informatics [online], 26(8), pages 4032-4043. Available from: https://doi.org/10.1109/JBHI.2022.3177854

The pandemic of COVID-19 has become a global crisis in public health, which has led to a massive number of deaths and severe economic degradation. To suppress the spread of COVID-19, accurate diagnosis at an early stage is crucial. As the popularly u... Read More about SC2Net: a novel segmentation-based classification network for detection of COVID-19 in chest X-ray images..

Multi-scale spatial fusion and regularization induced unsupervised auxiliary task CNN model for deep super-resolution of hyperspectral image. (2022)
Journal Article
HA, V.K., REN, J., WANG, Z., SUN, G., ZHAO, H. and MARSHALL, S. 2022. Multi-scale spatial fusion and regularization induced unsupervised auxiliary task CNN model for deep super-resolution of hyperspectral image. IEEE journal of selected topics in applied earth observations and remote sensing [online], 15, pages 4583-4598. Available from: https://doi.org/10.1109/JSTARS.2022.3176969

Hyperspectral images (HSI) features rich spectral information in many narrow bands but at a cost of a relatively low spatial resolution. As such, various methods have been developed for enhancing the spatial resolution of the low-resolution HSI (Lr-H... Read More about Multi-scale spatial fusion and regularization induced unsupervised auxiliary task CNN model for deep super-resolution of hyperspectral image..

A paradigm-shift in water treatment: in-reservoir UV-LED-driven TiO2 photocatalysis for the removal of cyanobacteria: a mesocosm study. (2022)
Presentation / Conference Contribution
PESTANA, C.J., CAPELO-NETO, J., HUI, J., ROBERTSON, P.K.J., OLIVEIRA, S., ROGERS, R., SANTOS, A., AZEVEDO, S.M.F.O., EDWARDS, C., IRVINE, J.T.S. and LAWTON, L.A. 2022. A paradigm-shift in water treatment: in-reservoir UV-LED-driven TiO2 photocatalysis for the removal of cyanobacteria: a mesocosm study. Presented at the 12th International conference on toxic cyanobacteria (ICTC 2022), 22-27 May 2022, Toledo, USA.

Potentially harmful cyanobacteria challenge potable water treatment globally, with high biomass events, and dissolved toxic and nuisance metabolites. Retrofitting existing water treatment infrastructure is often impractical (if not impossible) and of... Read More about A paradigm-shift in water treatment: in-reservoir UV-LED-driven TiO2 photocatalysis for the removal of cyanobacteria: a mesocosm study..

A multi-objective optimization model for EVSE deployment at workplaces with smart charging strategies and scheduling policies. (2022)
Journal Article
ERDOGAN, N., KUCUKSARI, S. and MURPHY, J. 2022. A multi-objective optimization model for EVSE deployment at workplaces with smart charging strategies and scheduling policies. Energy [online], 254(Part A), article number 124161. Available from: https://doi.org/10.1016/j.energy.2022.124161

This study proposes a multi-objective optimization model to determine the optimal charging infrastructure for a transition to plug-in electric vehicles (PEVs) at workplaces. The developed model considers all cost aspects of a workplace charging stati... Read More about A multi-objective optimization model for EVSE deployment at workplaces with smart charging strategies and scheduling policies..

Novel hyperbolic clustering-based band hierarchy (HCBH) for effective unsupervised band selection of hyperspectral images. (2022)
Journal Article
SUN, H., ZHANG, L., REN, J. and HUANG, H. 2022. Novel hyperbolic clustering-based band hierarchy (HCBH) for effective unsupervised band selection of hyperspectral images. Pattern recognition [online], 130, article number 108788. Available from: https://doi.org/10.1016/j.patcog.2022.108788

For dimensionality reduction of HSI, many clustering-based unsupervised band selection (UBS) methods have been proposed due to their superiority of reducing the high redundancy between selected bands. However, most of these methods fail to reflect th... Read More about Novel hyperbolic clustering-based band hierarchy (HCBH) for effective unsupervised band selection of hyperspectral images..

Developing a capacity sizing and energy management model for a hybrid photovoltaic-hydrogen grid-connected building scenario. (2022)
Presentation / Conference Contribution
ATTEYA, A.I., ALI, D. and HOSSAIN, M. 2022. Developing a capacity sizing and energy management model for a hybrid photovoltaic-hydrogen grid-connected building scenario. Presented at the 2022 All-energy exhibition and conference: low carbon heating and cooling, 11-12 May 2022, Glasgow, UK.

The admission of renewable energy systems into the grid is subject to significant variability due to their intermittency, requiring central generations to cover any transient variation between renewable power input and consumer demand. To allow suppo... Read More about Developing a capacity sizing and energy management model for a hybrid photovoltaic-hydrogen grid-connected building scenario..

An improved feedforward-long short-term memory modeling method for the whole-life-cycle state of charge prediction of lithium-ion batteries considering current-voltage-temperature variation. (2022)
Journal Article
WANG, S., TAKYI-ANINAKWA, P., JIN, S., YU, C., FERNANDEZ, C. and STROE, D.-I. 2022. An improved feedforward-long short-term memory modeling method for the whole-life-cycle state of charge prediction of lithium-ion batteries considering current-voltage-temperature variation. Energy [online], 254(Part A), article 124224. Available from: https://doi.org/10.1016/j.energy.2022.124224

The whole-life-cycle state of charge (SOC) prediction plays a significant role in various applications of lithium-ion batteries, but with great difficulties due to their internal capacity, working temperature, and current-rate variations. In this pap... Read More about An improved feedforward-long short-term memory modeling method for the whole-life-cycle state of charge prediction of lithium-ion batteries considering current-voltage-temperature variation..

Multi-sourced sensing and support vector machine classification for effective detection of fire hazard in early stage. (2022)
Journal Article
CHEN, S., REN, J., YAN, Y., SUN, M., HU, F. and ZHAO, H. 2022. Multi-sourced sensing and support vector machine classification for effective detection of fire hazard in early stage. Computers and electrical engineering [online], 101, article 108046. Available from: https://doi.org/10.1016/j.compeleceng.2022.108046

Accurate detection and early warning of fire hazard are crucial for reducing the associated damages. Due to the limitations of smoke-based detection mechanism, most commercial detectors fail to distinguish the smoke from dust and steam, leading to fr... Read More about Multi-sourced sensing and support vector machine classification for effective detection of fire hazard in early stage..

Superpixel nonlocal weighting joint sparse representation for hyperspectral image classification. (2022)
Journal Article
ZHANG, A., PAN, Z., FU, H., SUN, G., RONG, J., REN, J., JIA, X. and YAO, Y. 2022. Superpixel nonlocal weighting joint sparse representation for hyperspectral image classification. Remote sensing [online], 14(9), article 2125. Available from: https://doi.org/10.3390/rs14092125

Joint sparse representation classification (JSRC) is a representative spectral–spatial classifier for hyperspectral images (HSIs). However, the JSRC is inappropriate for highly heterogeneous areas due to the spatial information being extracted from a... Read More about Superpixel nonlocal weighting joint sparse representation for hyperspectral image classification..

Predicting energy savings of the UK housing stock under a step-by-step energy retrofit scenario towards net-zero. [Dataset] (2022)
Data
BENNADJI, A., SEDDIKI, M., ALABID, J., LAING, R. and GRAY, D. 2022. Predicting energy savings of the UK housing stock under a step-by-step energy retrofit scenario towards net-zero. [Dataset]. Energies [online], 15(9), article 3082. Available from: https://doi.org/10.3390/en15093082/s1

Space and water heating for UK homes make up 25% of total energy use and 15% of greenhouse gas emissions. To meet the UK’s ambitious goal of reaching zero emissions from existing buildings in the UK by 2050, by 2030, UK homes’ emissions need to fall... Read More about Predicting energy savings of the UK housing stock under a step-by-step energy retrofit scenario towards net-zero. [Dataset].

Predicting energy savings of the UK housing stock under a step-by-step energy retrofit scenario towards net-zero. (2022)
Journal Article
BENNADJI, A., SEDDIKI, M., ALABID, J., LAING, R. and GRAY, D. 2022. Predicting energy savings of the UK housing stock under a step-by-step energy retrofit scenario towards net-zero. Energies [online], 15(9), article 3082. Available from: https://doi.org/10.3390/en15093082

The UK has one of the least energy-efficient housing stocks in Europe. By 2030, the emissions from UK homes need to fall by at least 24% from 1990 levels to meet the UK's ambitious goal, which is reaching net-zero emissions. The originality of this p... Read More about Predicting energy savings of the UK housing stock under a step-by-step energy retrofit scenario towards net-zero..

TranSalNet: towards perceptually relevant visual saliency prediction. (2022)
Journal Article
LOU, J., LIN, H., MARSHALL, D., SAUPE, D. and LIU, H. 2022. TranSalNet: towards perceptually relevant visual saliency prediction. Neurocomputing [online], 494, pages 455-467. Available from: https://doi.org/10.1016/j.neucom.2022.04.080

Convolutional neural networks (CNNs) have significantly advanced computational modelling for saliency prediction. However, accurately simulating the mechanisms of visual attention in the human cortex remains an academic challenge. It is critical to i... Read More about TranSalNet: towards perceptually relevant visual saliency prediction..

Future-proofing Klang Valley’s veins with REBET: a framework for directing transportation technologies towards infrastructure resilience. (2022)
Journal Article
GHAZY, S., TANG, Y.H., MUGUMAY, K.L., WONG, J.Y. and CHAN, A. 2022. Future-proofing Klang Valley’s veins with REBET: a framework for directing transportation technologies towards infrastructure resilience. Technological forecasting and social change [online], 180, article 121666. Available from: https://doi.org/10.1016/j.techfore.2022.121666

The transportation industry is in the midst of a revolution with technologies, such as shared vehicles, drones, and autonomous vehicles, that are poised to reshape the way we move. Yet, the multitude of technologies present a difficulty in prioritizi... Read More about Future-proofing Klang Valley’s veins with REBET: a framework for directing transportation technologies towards infrastructure resilience..

A numerical study of the effects of temperature and injection velocity on oil-water relative permeability for enhanced oil recovery. (2022)
Journal Article
IYI, D., BALOGUN, Y., OYENEYIN, B. and FAISAL, N. 2022. A numerical study of the effects of temperature and injection velocity on oil-water relative permeability for enhanced oil recovery. International journal of heat and mass transfer [online], 191, article number 122863. Available from: https://doi.org/10.1016/j.ijheatmasstransfer.2022.122863

The paper quantitatively explore the influence of injection rate and temperature on oil-water relative permeability curves during hot water flooding operations in a porous medium flow. ANSYS-CFD was used to construct a numerical model of hot-water in... Read More about A numerical study of the effects of temperature and injection velocity on oil-water relative permeability for enhanced oil recovery..

An evaluation of feedstocks for sustainable energy and circular economy practices in a small island community. (2022)
Journal Article
REYNOLDS, J., KENNEDY, R., ICHAPKA, M., AGARWAL, A., OKE, A., COX, E., EDWARDS, C. and NJUGUNA, J. 2022. An evaluation of feedstocks for sustainable energy and circular economy practices in a small island community. Renewable and sustainable energy reviews [online], 161, article 112360. Available from: https://doi.org/10.1016/j.rser.2022.112360

Maximising the use of anaerobic digestion to generate power from waste feedstocks is becoming a practical way to use waste contributing to the transition from a linear to a circular economy and reducing the carbon footprint. In addition to harnessing... Read More about An evaluation of feedstocks for sustainable energy and circular economy practices in a small island community..

New HTHP fluid loss control agent for oil-based drilling fluid from pharmaceutical waste. (2022)
Journal Article
KHODJA, M., DEBIH, H., LEBTAHI, H. and AMISH, M.B. 2022. New HTHP fluid loss control agent for oil-based drilling fluid from pharmaceutical waste. Cleaner engineering and technology [online], 8, article number 100476. Available from: https://doi.org/10.1016/j.clet.2022.100476

In oil-based drilling fluid systems (OBM, for Oil-Based Mud) the oil phase is the major source of contamination and hydrocarbon pollution is, by far, the main concern. However, the release and accumulation of mud additives in the environment may be d... Read More about New HTHP fluid loss control agent for oil-based drilling fluid from pharmaceutical waste..