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..

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..

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..

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..

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..

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..

Transfer learning with 2D vibration images for fault diagnosis of bearings under variable speed. (2022)
Conference Proceeding
AHMAD, Z., HASAN, M.J. and KIM, J.-M. 2022. Transfer learning with 2D vibration images for fault diagnosis of bearings under variable speed. In Abraham, A., Gandhi, N., Hanne, T., Hong, T.-P., Rios, T.N. and Ding, W. (eds.) Intelligent systems design and applications: proceedings of 21st International conference on intelligent systems design and applications (ISDA 2021), 13-15 December 2021, [virtual event]. Lecture notes in networks and systems, 418. Cham: Springer [online], pages 154-164. Available from: https://doi.org/10.1007/978-3-030-96308-8_14

One of the most critical assignments in fault diagnosis is to decide the finest set of features by evaluating the statistical parameters of the time-domain signals. However, these parameters are vulnerable under variable speed conditions, i.e., diffe... Read More about Transfer learning with 2D vibration images for fault diagnosis of bearings under variable speed..

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..

Effect of fillers on compression loading performance of modified re-entrant honeycomb auxetic sandwich structures. (2022)
Journal Article
FAISAL, N.H., SCOTT, L., BOOTH, F., DUNCAN, S., MCLEOD, A., DROUBI, M.G. and NJUGUNA, J. 2023. Effect of fillers on compression loading performance of modified re-entrant honeycomb auxetic sandwich structures. Journal of strain analysis for engineering design [online], 58(2), pages 98-117. Available from: https://doi.org/10.1177/03093247221083210

The auxetic sandwich panels for structures have been designed to provide impact protection. The aim of this work is to modify an auxetic (re-entrant) honeycomb cell to reduce the stress concentrations within the cell structure, and further enhancemen... Read More about Effect of fillers on compression loading performance of modified re-entrant honeycomb auxetic sandwich structures..

Non-destructive testing of composite fibre materials with hyperspectral imaging: evaluative studies in the EU H2020 FibreEUse project. (2022)
Journal Article
YAN, Y., REN, J., ZHAO, H., WINDMILL, J.F.C., IJOMAH, W., DE WIT, J. and VON FREEDEN, J. 2022. Non-destructive testing of composite fibre materials with hyperspectral imaging: evaluative studies in the EU H2020 FibreEUse project. IEEE transactions on instrumentation and measurement [online], 71, article 6002213. Available from: https://doi.org/10.1109/TIM.2022.3155745

Through capturing spectral data from a wide frequency range along with the spatial information, hyperspectral imaging (HSI) can detect minor differences in terms of temperature, moisture and chemical composition. Therefore, HSI has been successfully... Read More about Non-destructive testing of composite fibre materials with hyperspectral imaging: evaluative studies in the EU H2020 FibreEUse project..

Material challenges and opportunities in 3D printing for hip implant applications. (2022)
Journal Article
OKOLIE, O., STACHUREK, I., KANDASUBRAMANIAN, B. and NJUGUNA, J. 2022. Material challenges and opportunities in 3D printing for hip implant applications. Recent progress in materials [online], 4(1): 3D printing of engineering materials, article 2201004. Available from: https://doi.org/10.21926/rpm.2201004

There is a current need for tissue and organ repairs, replacement and regeneration for the patients who suffer from diseased/damaged tissues or organs. This situation is continuously on the rise and the supply on this form of therapy does not meet th... Read More about Material challenges and opportunities in 3D printing for hip implant applications..

An assessment of renewable energy development in energy mix for Togo. (2022)
Journal Article
KANSONGUE, N., NJUGUNA, J. and VERTIGANS, S. 2022. An assessment of renewable energy development in energy mix for Togo. International journal of sustainable energy [online], 41(8), pages 1037-1056. Available from: https://doi.org/10.1080/14786451.2021.2023150

The Togolese government plans to achieve 100% electrification to all by 2030, to meet the Millennium goals. The Delphi method is used with the experts drawn from policymakers, academic institutions, financial institutions, non-governmental institutio... Read More about An assessment of renewable energy development in energy mix for Togo..

PS-net: progressive selection network for salient object detection. (2022)
Journal Article
REN, J., WANG, Z. and REN, J. 2022. PS-net: progressive selection network for salient object detection. Cognitive computation [online], 14(2), pages 794-804. Available from: https://doi.org/10.1007/s12559-021-09952-4

Low-level features contain abundant details and high-level features have rich semantic information. Integrating multi-scale features in an appropriate way is significant for salient object detection. However, direct concatenation or addition taken by... Read More about PS-net: progressive selection network for salient object detection..

The fate of waste drilling fluids from oil and gas industry activities in the exploration and production operations. (2022)
Journal Article
NJUGUNA, J., SIDDIQUE, S., KWROFFIE, L.B., PIROMRAT, S., ADDAE-AFOAKWA, K., EKEH-ADEGBOTOLU, U., OLUYEMI, G., YATES, K., MISHRA, A.K. and MOLLER, L. 2022. The fate of waste drilling fluids from oil and gas industry activities in the exploration and production. Waste management [online], 139, pages 362-380. Available from: https://doi.org/10.1016/j.wasman.2021.12.025

Operational discharges from oil and gas exploration industry, accidental spillage, or improperly disposed drilling wastes has serious detrimental effects on human and the environment. The water- and oil-based fluids wastes are generated every year al... Read More about The fate of waste drilling fluids from oil and gas industry activities in the exploration and production operations..