Outputs (112)

Nondestructive quantitative measurement for precision quality control in additive manufacturing using hyperspectral imagery and machine learning. (2024)
Journal Article
YAN, Y., REN, J., SUN, H. and WILLIAMS, R. 2024. Nondestructive quantitative measurement for precision quality control in additive manufacturing using hyperspectral imagery and machine learning. IEEE transactions on industrial informatics [online], Early Access. Available from: https://doi.org/10.1109/TII.2024.3384609

Measuring the purity of the metal powder is essential to maintain the quality of additive manufacturing products. Contamination is a significant concern, leading to cracks and malfunctions in the final products. Conventional assessment methods focus... Read More about Nondestructive quantitative measurement for precision quality control in additive manufacturing using hyperspectral imagery and machine learning..

Detection-driven exposure-correction network for nighttime drone-view object detection. (2024)
Journal Article
XI, Y., JIA, W., MIAO, Q., FENG, J., REN, J. and LUO, H. 2024. Detection-driven exposure-correction network for nighttime drone-view object detection. IEEE transactions on geoscience and remote sensing [online], 62, article number 5605014. Available from: https://doi.org/10.1109/TGRS.2024.3351134

Drone-view object detection (DroneDet) models typically suffer a significant performance drop when applied to nighttime scenes. Existing solutions attempt to employ an exposure-adjustment module to reveal objects hidden in dark regions before detecti... Read More about Detection-driven exposure-correction network for nighttime drone-view object detection..

Feature aggregation and region-aware learning for detection of splicing forgery. (2024)
Journal Article
XU, Y., ZHENG, J., REN, J. and FANG, A. 2024. Feature aggregation and region-aware learning for detection of splicing forgery. IEEE signal processing letters [online], 31, pages 696-700. Available from: https://doi.org/10.1109/LSP.2023.3348689

Detection of image splicing forgery become an increasingly difficult task due to the scale variations of the forged areas and the covered traces of manipulation from post-processing techniques. Most existing methods fail to jointly multi-scale local... Read More about Feature aggregation and region-aware learning for detection of splicing forgery..

Seismic events extraction method based on the B-COSFIRE filter combined with the differential evolution algorithm. (2023)
Journal Article
ZHAO, J., LI, Y., LEI, H., REN, J., ZHANG, F. and SHEN, H. 2023. Seismic events extraction method based on the B-COSFIRE filter combined with the differential evolution algorithm. ACTA geophysica [online], Early Access. Available from: https://doi.org/10.1007/s11600-023-01222-1

Based on an analysis of the information processing mechanism in the primary visual cortex of biological vision, this study proposes an integration method of bar-combination of shifted filter responses (B-COSFIRE) filter with the differential evolutio... Read More about Seismic events extraction method based on the B-COSFIRE filter combined with the differential evolution algorithm..

Automatic geolocation and measuring of offshore energy infrastructure with multimodal satellite data. (2023)
Journal Article
MA, P., MACDONALD, M., ROUSE, S. and REN, J. 2023. Automatic geolocation and measuring of offshore energy infrastructure with multimodal satellite data. IEEE journal of oceanic engineering [online], Early Access. Available from: https://doi.org/10.1109/joe.2023.3319741

With the increasing trend of energy transition to low-carbon economies, the rate of offshore structure installation and removal will rapidly accelerate through offshore renewable energy development and oil and gas decommissioning. Knowledge of the lo... Read More about Automatic geolocation and measuring of offshore energy infrastructure with multimodal satellite data..

PWDformer: deformable transformer for long-term series forecasting. (2023)
Journal Article
WANG, Z., RAN, H., REN, J. and SUN, M. 2024. PWDformer: deformable transformer for long-term series forecasting. Pattern recognition [online], 147, article number 110118. Available from: https://doi.org/10.1016/j.patcog.2023.110118

Long-term forecasting is of paramount importance in numerous scenarios, including predicting future energy, water, and food consumption. For instance, extreme weather events and natural disasters can profoundly impact infrastructure operations and po... Read More about PWDformer: deformable transformer for long-term series forecasting..

Siamese residual neural network for musical shape evaluation in piano performance assessment. (2023)
Conference Proceeding
LI, X., WEISS, S., YAN, Y., LI, Y., REN, J., SORAGHAN, J. and GONG, M. 2023. Siamese residual neural network for musical shape evaluation in piano performance assessment. In Proceedings of the 31st European signal processing conference 2023 (EUSIPCO 2023), 4-8 September 2023, Helsinki, Finland. Piscataway: IEEE [online], pages 216-220. Available from: https://doi.org/10.23919/EUSIPCO58844.2023.10289901

Understanding and identifying musical shape plays an important role in music education and performance assessment. To simplify the otherwise time- and cost-intensive musical shape evaluation, in this paper we explore how artificial intelligence (AI)... Read More about Siamese residual neural network for musical shape evaluation in piano performance assessment..

Early detection of citrus anthracnose caused by Colletotrichum gloeosporioides using hyperspectral imaging. (2023)
Journal Article
TANG, Y., YANG, J., ZHUANG, J., HOU, C., MIAO, A., REN, J., HUANG, H., TAN, Z. and PALIWAL, J. 2023. Early detection of citrus anthracnose caused by Colletotrichum gloeosporioides using hyperspecral imaging. Computers and electronics in agriculture [online], 214, article number 108348. Available from: https://doi.org/10.1016/j.compag.2023.108348

Citrus fruit are susceptible to Colletotrichum gloeosporioides infestation during postharvest and shelf storage. Early and accurate detection of citrus anthracnose is conducive for carrying out targeted pesticide control and mitigating the potential... Read More about Early detection of citrus anthracnose caused by Colletotrichum gloeosporioides using hyperspectral imaging..

Hyperspectral imaging based corrosion detection in nuclear packages. (2023)
Journal Article
ZABALZA, J., MURRAY, P., BENNETT, S., CAMPBELL, A.J., MARSHALL, S., REN, J., YAN, Y., BERNARD, R., HEPWORTH, S., MALONE, S., COCKBAIN, N., OFFIN, D. and HOLLIDAY, C. 2023. Hyperspectral imaging based corrosion detection in nuclear packages. IEEE sensors journal [online], 23(21), pages 25607-25617. Available from: https://doi.org/10.1109/jsen.2023.3312938

In the Sellafield nuclear site, intermediate level waste and special nuclear material is stored above ground in stainless steel packages or containers, with thousands expected to be stored for several decades before permanent disposal in a geological... Read More about Hyperspectral imaging based corrosion detection in nuclear packages..

Three-dimensional singular spectrum analysis for precise land cover classification from UAV-borne hyperspectral benchmark datasets. (2023)
Journal Article
FU, H., SUN, G., ZHANG, L., ZHANG, A., REN, J., JIA, X. and LI, F. 2023. Three-dimensional singular spectrum analysis for precise land cover classification from UAV-borne hyperspectral benchmark datasets. ISPRS journal of photogrammetry and remote sensing [online], 203, pages 115-134. Available from: https://doi.org/10.1016/j.isprsjprs.2023.07.013

The precise classification of land covers with hyperspectral imagery (HSI) is a major research-focused topic in remote sensing, especially using unmanned aerial vehicle (UAV) systems as the abundant data sources have brought severe intra-class spectr... Read More about Three-dimensional singular spectrum analysis for precise land cover classification from UAV-borne hyperspectral benchmark datasets..