All Outputs (40)

Efficient breast cancer classification network with dual squeeze and excitation in histopathological images. (2022)
Journal Article
SARKER, M.M.K., AKRAM, F., ALSHARID, M., SINGH, V.K., YASRAB, R. and ELYAN, E. 2023. Efficient breast cancer classification network with dual squeeze and excitation in histopathological images. Diagnostics [online], 13(1), article 103. Available from: https://doi.org/10.3390/diagnostics13010103

Medical image analysis methods for mammograms, ultrasound, and magnetic resonance imaging (MRI) cannot provide the underline features on the cellular level to understand the cancer microenvironment which makes them unsuitable for breast cancer subtyp... Read More about Efficient breast cancer classification network with dual squeeze and excitation in histopathological images..

An unsupervised domain adaptation method towards multi-level features and decision boundaries for cross-scene hyperspectral image classification. (2022)
Journal Article
ZHAO, C., QIN, B., FENG, S., ZHU, W., ZHANG, L. and REN, J. 2022. An unsupervised domain adaptation method towards multi-level features and decision boundaries for cross-scene hyperspectral image classification. IEEE transactions on geoscience and remote sensing [online], 60, article 5546216. Available from: https://doi.org/10.1109/TGRS.2022.3230378

Despite success in the same-scene hyperspectral image classification (HSIC), for the cross-scene classification, samples between source and target scenes are not drawn from the independent and identical distribution, resulting in significant performa... Read More about An unsupervised domain adaptation method towards multi-level features and decision boundaries for cross-scene hyperspectral image classification..

Object-based attention mechanism for color calibration of UAV remote sensing images in precision agriculture. (2022)
Journal Article
HUANG, H., TANG, Y., TAN, Z., ZHUANG, J., HOU, C., CHEN, W. and REN, J. 2022. Object-based attention mechanism for color calibration of UAV remote sensing images in precision agriculture. IEEE transactions on geoscience and remote sensing [online], 60, article number 4416013. Available from: https://doi.org/10.1109/TGRS.2022.3224580

Color calibration is a critical step for unmanned aerial vehicle (UAV) remote sensing, especially in precision agriculture, which relies mainly on correlating color changes to specific quality attributes, e.g. plant health, disease, and pest stresses... Read More about Object-based attention mechanism for color calibration of UAV remote sensing images in precision agriculture..

Hyperspectral imaging based detection of PVC during Sellafield repackaging procedures. (2022)
Journal Article
ZABALZA, J., MURRAY, P., MARSHALL, S., REN, J., BERNARD, R. and HEPWORTH, S. 2023. Hyperspectral imaging based detection of PVC during Sellafield repackaging procedures. IEEE sensors journal [online], 23(1), pages 452-459. Available from: https://doi.org/10.1109/JSEN.2022.3221680

Traditionally, Special Nuclear Material (SNM) at Sellafield has been stored in multi-layered packages, consisting of metallic cans and an over-layer of plasticized Polyvinyl Chloride (PVC) as an intermediate layer when transitioning between areas of... Read More about Hyperspectral imaging based detection of PVC during Sellafield repackaging procedures..

Deep scattering spectrum germaneness for fault detection and diagnosis for component-level prognostics and health management (PHM). (2022)
Journal Article
ROHAN, A. 2022. Deep scattering spectrum germaneness for fault detection and diagnosis for component-level prognostics and health management (PHM). Sensors [online], 22(23), article 9064. Available from: https://doi.org/10.3390/s22239064

Most methodologies for fault detection and diagnosis in prognostics and health management (PHM) systems use machine learning (ML) or deep learning (DL), in which either some features are extracted beforehand (in the case of typical ML approaches) or... Read More about Deep scattering spectrum germaneness for fault detection and diagnosis for component-level prognostics and health management (PHM)..

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..

Automated analysis of sleep study parameters using signal processing and artificial intelligence. (2022)
Journal Article
SOHAIB, M., GHAFFAR, A., SHIN, J., HASAN. M.J. and SULEMAN, M.T. 2022. Automated analysis of sleep study parameters using signal processing and artificial intelligence. International journal of environmental research and public health [online], 19(20), article number 13256. Available from: https://doi.org/10.3390/ijerph192013256

An automated sleep stage categorization can readily face noise-contaminated EEG recordings, just as other signal processing applications. Therefore, the denoising of the contaminated signals is inevitable to ensure a reliable analysis of the EEG sign... Read More about Automated analysis of sleep study parameters using signal processing and artificial intelligence..

Printed texture guided color feature fusion for impressionism style rendering of oil paintings. (2022)
Journal Article
GENG, J., MA, L., LI, X., ZHANG, X. and YAN, Y. 2022. Printed texture guided color feature fusion for impressionism style rendering of oil paintings. Mathematics [online], 10(19): advances in computer vision and machine learning, article 3700. Available from: https://doi.org/10.3390/math10193700

As a major branch of Non-Photorealistic Rendering (NPR), image stylization mainly uses computer algorithms to render a photo into an artistic painting. Recent work has shown that the ex-traction of style information such as stroke texture and color o... Read More about Printed texture guided color feature fusion for impressionism style rendering of oil paintings..

Bayesian gravitation-based classification for hyperspectral images. (2022)
Journal Article
ZHANG, A., SUN, G., PAN, Z., REN, J., JIA, X., ZHANG, C., FU, H. and YAO, Y. 2022. Bayesian gravitation-based classification for hyperspectral images. IEEE transactions on geoscience and remote sensing [online], 60, article 5542714. Available from: https://doi.org/10.1109/TGRS.2022.3203488

Integration of spectral and spatial information is extremely important for the classification of high-resolution hyperspectral images (HSIs). Gravitation describes interaction among celestial bodies which can be applied to measure similarity between... Read More about Bayesian gravitation-based classification for hyperspectral images..

Multiscale voting mechanism for rice leaf disease recognition under natural field conditions. (2022)
Journal Article
TANG, Y., ZHAO, J., HUANG, H., ZHUANG, J., TAN, Z., HOU, C., CHEN, W. and REN, J. 2022. Multiscale voting mechanism for rice leaf disease recognition under natural field conditions. International journal of intelligent systems [online], 37(12), pages 12169-12191. Available from: https://doi.org/10.1002/int.23081

Rice leaf disease (RLD) is one of the major factors that cause the decline in production, and the automatic recognition of such diseases under natural field conditions is of great significance for timely targeted rice management. Although many machin... Read More about Multiscale voting mechanism for rice leaf disease recognition under natural field conditions..

DRL-RNP: deep reinforcement learning-based optimized RNP flight procedure execution. (2022)
Journal Article
ZHU, L., WANG, J., WANG, Y., JI, Y. and REN, J. 2022. DRL-RNP: deep reinforcement learning-based optimized RNP flight procedure execution. Sensors [online], 22(17), article 6475. Available from: https://doi.org/10.3390/s22176475

The required navigation performance (RNP) procedure is one of the two basic navigation specifications for the performance-based navigation (PBN) procedure as proposed by the International Civil Aviation Organization (ICAO) through an integration of t... Read More about DRL-RNP: deep reinforcement learning-based optimized RNP flight procedure execution..

An approach to emotion recognition using brain rhythm sequencing and asymmetric features. (2022)
Journal Article
LI, J.W., CHEN, R.J., BARMA, S., CHEN, F., PUN, S.H., MAK, P.U., WANG, L.J., ZENG, X.X., REN, J.C. and ZHAO, H.M. 2022. An approach to emotion recognition using brain rhythm sequencing and asymmetric features. Cognitive computation [online], 14(6), pages 2260-2273. Available from: https://doi.org/10.1007/s12559-022-10053-z

Emotion can be influenced during self-isolation, and to avoid severe mood swings, emotional regulation is meaningful. To achieve this, efficiently recognizing emotion is a vital step, which can be realized by electroencephalography signals. Previousl... Read More about An approach to emotion recognition using brain rhythm sequencing and asymmetric features..

ICOSeg: real-time ICOS protein expression segmentation from immunohistochemistry slides using a lightweight conv-transformer network. (2022)
Journal Article
SINGH, V.K., SARKER, M.M.K., MAKHLOUF, Y., CRAIG, S.G., HUMPHRIES, M.P., LOUGHREY, M.B., JAMES, J.A., SALTO-TELLEZ, M., O'REILLY, P. and MAXWELL, P. 2022. ICOSeg: real-time ICOS protein expression segmentation from immunohistochemistry slides using a lightweight conv-transformer network. Cancers [online], 14(16), article 3910. Available from: https://doi.org/10.3390/cancers14163910

In this article, we propose ICOSeg, a lightweight deep learning model that accurately segments the immune-checkpoint biomarker, Inducible T-cell COStimulator (ICOS) protein in colon cancer from immunohistochemistry (IHC) slide patches. The proposed m... Read More about ICOSeg: real-time ICOS protein expression segmentation from immunohistochemistry slides using a lightweight conv-transformer network..

Nondestructive detection and grading of flesh translucency in pineapples with visible and near-infrared spectroscopy. (2022)
Journal Article
XU, S., REN, J., LU, H., WANG, X., SUN, X. and LIANG, X. 2022. Nondestructive detection and grading of flesh translucency in pineapples with visible and near-infrared spectroscopy. Postharvest biology and technology [online], 192, article 112029. Available from: https://doi.org/10.1016/j.postharvbio.2022.112029

Rapid, accurate, and nondestructive internal quality detection for large and rough surface fruit, such as translucency in pineapples, is challenging. In this paper, a visible and near infrared (VIS/NIR) spectrum-based platform is proposed for optimiz... Read More about Nondestructive detection and grading of flesh translucency in pineapples with visible and near-infrared spectroscopy..

An artificial neural network algorithm to retrieve chlorophyll a for Northwest European shelf seas from top of atmosphere ocean colour reflectance. (2022)
Journal Article
HADJAL, M., MEDINA-LOPEZ, E., REN, J., GALLEGO, A. and MCKEE, D. 2022. An artificial neural network algorithm to retrieve chlorophyll a for Northwest European shelf seas from top of atmosphere ocean colour reflectance. Remote sensing [online], 14(14), article 3353. Available from: https://doi.org/10.3390/rs14143353

Chlorophyll-a (Chl) retrieval from ocean colour remote sensing is problematic for relatively turbid coastal waters due to the impact of non-algal materials on atmospheric correction and standard Chl algorithm performance. Artificial neural networks (... Read More about An artificial neural network algorithm to retrieve chlorophyll a for Northwest European shelf seas from top of atmosphere ocean colour reflectance..

A novel band selection and spatial noise reduction method for hyperspectral image classification. (2022)
Journal Article
FU, H., ZHANG, A., SUN, G., REN, J., JIA, X., PAN, Z. and MA, H. 2022. A novel band selection and spatial noise reduction method for hyperspectral image classification. IEEE transactions on geoscience and remote sensing [online], 60, article 5535713. Available from: https://doi.org/10.1109/TGRS.2022.3189015

As an essential reprocessing method, dimensionality reduction (DR) can reduce the data redundancy and improve the performance of hyperspectral image (HSI) classification. A novel unsupervised DR framework with feature interpretability, which integrat... Read More about A novel band selection and spatial noise reduction method for hyperspectral image classification..

An assessment on effect of process parameters on pull force during pultrusion. (2022)
Journal Article
MUKHERJI, A. and NJUGUNA, J. 2022. An assessment on effect of process parameters on pull force during pultrusion. International journal of advanced manufacturing technology [online], 121(5-6), pages 3419-3439. Available from: https://doi.org/10.1007/s00170-022-09221-0

This research investigates the process behaviour by prediction of the pull force required to drag the raw materials through heated die at different reinforcing material configuration during pultrusion. Pultrusion is a continuous manufacturing process... Read More about An assessment on effect of process parameters on pull force during pultrusion..

A music cognition-guided framework for multi-pitch estimation. (2022)
Journal Article
LI, X., YAN, Y., SORAGHAN, J., WANG, Z. and REN, J. 2023. A music cognition-guided framework for multi-pitch estimation. Cognitive computation [online], 15(1), pages 23-35. Available from: https://doi.org/10.1007/s12559-022-10031-5

As one of the most important subtasks of automatic music transcription (AMT), multi-pitch estimation (MPE) has been studied extensively for predicting the fundamental frequencies in the frames of audio recordings during the past decade. However, how... Read More about A music cognition-guided framework for multi-pitch estimation..

Holistic fault detection and diagnosis system in imbalanced, scarce, multi-domain (ISMD) data setting for component-level prognostics and health management (PHM). (2022)
Journal Article
ROHAN, A. 2022 Holistic fault detection and diagnosis system in imbalanced, scarce, multi-domain (ISMD) data setting for component-level prognostics and health management (PHM). Mathematics [online], 10(12), article number 2031. Available from: https://doi.org/10.3390/math10122031

In the current Industry 4.0 revolution, prognostics and health management (PHM) is an emerging field of research. The difficulty of obtaining data from electromechanical systems in an industrial setting increases proportionally with the scale and acc... Read More about Holistic fault detection and diagnosis system in imbalanced, scarce, multi-domain (ISMD) data setting for component-level prognostics and health management (PHM)..

Sparse data-extended fusion method for sea surface temperature prediction on the East China Sea. (2022)
Journal Article
WANG, X., WANG, L., ZHANG, Z., CHEN, K., JIN, Y., YAN, Y. and LIU, J. 2022. Sparse data-extended fusion method for sea surface temperature prediction on the East China Sea. Applied sciences [online], 12(12); intelligent computing and remote sensing, article 5905. Available from: https://doi.org/10.3390/app12125905

The accurate temperature background field plays a vital role in the numerical prediction of sea surface temperature (SST). At present, the SST background field is mainly derived from multi-source data fusion, including satellite SST data and in situ... Read More about Sparse data-extended fusion method for sea surface temperature prediction on the East China Sea..