Outputs (216)

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..

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. (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..

Oil-based mud waste as a filler material in LDPE composites: evaluation of mechanical properties. (2022)
Journal Article
SIDDIQUE, S., NOVAK, A., GULIYEV, E., YATES, K., LEUNG, P.S. and NJUGUNA, J. 2022. Oil-based mud waste as a filler material in LDPE composites: evaluation of mechanical properties. Polymers [online], 14(7), article 1455. Available from: https://doi.org/10.3390/polym14071455

Traditionally, the drilling waste generated in oil and gas exploration operations, including spent drilling fluid, is disposed of or treated by several methods, including burial pits, landfill sites and various thermal treatments. This study investig... Read More about Oil-based mud waste as a filler material in LDPE composites: evaluation of mechanical properties..

Large-scale crowdsourced subjective assessment of picturewise just noticeable difference. (2022)
Journal Article
LIN, H., CHEN, G., JENADELEH, M., HOSU, V., REIPS, U.-D., HAMZAOUI, R. and SAUPE, D. 2022. Large-scale crowdsourced subjective assessment of picturewise just noticeable difference. IEEE transactions on circuits and systems for video technology [online], 32(9), pages 5859-5873. Available from: https://doi.org/10.1109/TCSVT.2022.3163860

The picturewise just noticeable difference (PJND) for a given image, compression scheme, and subject is the smallest distortion level that the subject can perceive when the image is compressed with this compression scheme. The PJND can be used to det... Read More about Large-scale crowdsourced subjective assessment of picturewise just noticeable difference..

Rapid extraction of high- and low-density microplastics from soil using high-gradient magnetic separation. (2022)
Journal Article
RAMAGE, S.J.F.F., PAGALING, E., HAGHI, R.K., DAWSON, L.A., YATES, K., PRABHU, R., HILLIER, S. and DEVALLA, S. 2022. Rapid extraction of high- and low-density microplastics from soil using high-gradient magnetic separation. Science of the total environment, [online], 831, article 154912. Available from: https://doi.org/10.1016/j.scitotenv.2022.154912

Microplastics (MPs) are present in all environments, and concerns over their possible detrimental effects on flora and fauna have arisen. Density separation (DS) is commonly used to separate MPs from soils to allow MP quantification; however, it freq... Read More about Rapid extraction of high- and low-density microplastics from soil using high-gradient magnetic separation..

A study of zero bid wind farm for future Scotland’s energy demands: a new approach. (2022)
Journal Article
STODDART, C., MUHAMMAD-SUKKI, F., ANDERSON, M., ARDILA-REY, J.A., AYUB, A.S., MOHD SAHABUDDIN, M.F., RAHMAT, M.K., MUHTAZARUDDIN, M.N. and ZULKIPLI, M. 2022. A study of zero bid wind farm for future Scotland's energy demands: a new approach. Applied sciences [online], 12(7), article 3326. Available from: https://doi.org/10.3390/app12073326

Offshore wind is in a rapid transitional phase, pushed worldwide by efforts of those to reduce climate change. Wind power is becoming a commercialised, unsubsidised competitive form of low carbon generation of renewable energy. Marketplaces reflect t... Read More about A study of zero bid wind farm for future Scotland’s energy demands: a new approach..

Thermal spray coatings for electromagnetic wave absorption and interference shielding: a review and future challenges. (2022)
Journal Article
FASIAL, N.H., AHMED, R., SELLAMI, N. et al. 2022. Thermal spray coatings for electromagnetic wave absorption and interference shielding: a review and future challenges. Advanced engineering materials [online], 24(7), article number 2200171. Available from: https://doi.org/10.1002/adem.202200171

This review aims to consolidate scattered literature on thermally sprayed coatings with nonionizing electromagnetic (EM) wave absorption and shielding over specific wavelengths potentially useful in diverse applications (e.g., microwave to millimeter... Read More about Thermal spray coatings for electromagnetic wave absorption and interference shielding: a review and future challenges..

Atomically dispersed quintuple nitrogen and oxygen co-coordinated zirconium on graphene-type substrate for highly efficient oxygen reduction reaction. (2022)
Journal Article
ZHAO, X., WANG, J., WANG, J., YANG, M., YAN, C., ZOU, G., TSE, J.S., FERNANDEZ, C. and PENG, Q. 2022. Atomically dispersed quintuple nitrogen and oxygen co-coordinated zirconium on graphene-type substrate for highly efficient oxygen reduction reaction. Cell reports physical science [online], 3(3), article 100773. Available from: https://doi.org/10.1016/j.xcrp.2022.100773

A cost-effective and long stability catalyst with decent electrochemical activity would play a crucial role in accelerating applications of metal-air batteries. Here, we report quintuple nitrogen and oxygen co-coordinated Zr sites on graphene (Zr-N/O... Read More about Atomically dispersed quintuple nitrogen and oxygen co-coordinated zirconium on graphene-type substrate for highly efficient oxygen reduction reaction..

Adsorption of cyanotoxins on polypropylene and polyethylene terephthalate: microplastics as vector of eight microcystin analogues. (2022)
Journal Article
MOURA, D.S., PESTANA, C.J., MOFFAT, C.F., HUI, J., IRVINE, J.T.S., EDWARDS, C. and LAWTON, L.A. 2022. Adsorption of cyanotoxins on polypropylene and polyethylene terephthalate: microplastics as vector of eight microcystin analogues. Environmental pollution [online], 303, article 119135. Available from: https://doi.org/10.1016/j.envpol.2022.119135

Plastics are utilised globally but are of environmental concern due to their persistence. The global presence of microplastics (particles <5 mm in all dimensions) in freshwater environments is increasingly reported, as has the presence of cyanobacter...

A review of the sustainable utilization of rice residues for bioenergy conversion using different valorization techniques, their challenges, and techno-economic assessment. (2022)
Journal Article
KANIAPAN, S., PASUPULETI, J., NESAN, K.P., ABUBACKAR, H.N., UMAR, H.A., OLADOSU, T.L., BELLO, S.R. and RENE, E.R. 2022. A review of the sustainable utilization of rice residues for bioenergy conversion using different valorization techniques, their challenges, and techno-economic assessment. International journal of environmental research and public health [online], 19(6), article 3427. Available from: https://doi.org/10.3390/ijerph19063427

The impetus to predicting future biomass consumption focuses on sustainable energy, which concerns the non-renewable nature of fossil fuels and the environmental challenges associated with fossil fuel burning. However, the production of rice residue... Read More about A review of the sustainable utilization of rice residues for bioenergy conversion using different valorization techniques, their challenges, and techno-economic assessment..

MVVA-net: a video aesthetic quality assessment network with cognitive fusion of multi-type feature–based strong generalization. (2022)
Journal Article
LI, M., WANG, Z., REN, J. and SUN, M. 2022. MVVA-net: a video aesthetic quality assessment network with cognitive fusion of multi‑type feature–based strong generalization. Cognitive computation [online], 14(4), pages 1435-1445. Available from: https://doi.org/10.1007/s12559-021-09947-1

With the increasing popularity of short videos on various social media platforms, there is a great challenge for evaluating the aesthetic quality of these videos. In this paper, we first construct a large-scale and properly annotated short video aest... Read More about MVVA-net: a video aesthetic quality assessment network with cognitive fusion of multi-type feature–based strong generalization..