CONFERENCE PROCEEDINGS
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Dr. Zitong Zhang
at China Univ of Geosciences
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Author
Publications (5)
SPIE Journal Paper | 29 July 2022
Uncertainty measurement-guided iterative sample selection via shallow convolutional neural network for hyperspectral image classification
Xin Zhang, Lei Kang, Chunlei Zhang, Zitong Zhang, Yanan Jiang
JARS, Vol. 16, Issue 03, 038501, (July 2022) https://doi.org/10.1117/12.10.1117/1.JRS.16.038501
KEYWORDS: Statistical modeling, Image classification, Data modeling, Feature extraction, Remote sensing, Hyperspectral imaging, Convolutional neural networks, Convolution, Education and training, Measurement uncertainty
Proceedings Article | 22 April 2022 Paper
Prediction of shear wave velocity in shale reservoir based on TCN
Xiangyu Shi, Zitong Zhang, Kai Zhang, Chunlei Zhang
Proceedings Volume 12174, 1217419 (2022) https://doi.org/10.1117/12.2628504
KEYWORDS: Performance modeling, Data modeling, Machine learning, Statistical analysis, Process modeling, Statistical modeling, Earth sciences, Velocity measurements
Proceedings Article | 11 March 2022 Paper
Prediction of shear wave velocity in shale reservoirs based on machine learning: a case from the Permian Fengcheng Formation, Mahu Depression
Xiaojun Wang, Zitong Zhang, Yang Zou, Wenjun He, Yi Zhao, Liliang Huang
Proceedings Volume 12160, 121602E (2022) https://doi.org/10.1117/12.2627685
KEYWORDS: Machine learning, Process modeling, Data modeling, Velocity measurements, Error analysis, Visual process modeling, Earth sciences
Proceedings Article | 11 March 2022 Paper
Shear wave velocity prediction of complex volcanic reservoirs based on deep learning
Proceedings Volume 12160, 121602D (2022) https://doi.org/10.1117/12.2627666
KEYWORDS: Machine learning, Data modeling, Feature extraction, Convolution, Transformers, Earth sciences, Visual process modeling
Proceedings Article | 11 March 2022 Paper
Prediction of shear wave velocity in shale reservoirs based on N-BEATS model
Shanwei Hu, Qiaoyu Ma, Kai Zhang, Zitong Zhang
Proceedings Volume 12160, 1216007 (2022) https://doi.org/10.1117/12.2627678
KEYWORDS: Data modeling, Machine learning, Feature extraction, Earth sciences, Statistical modeling, Performance modeling, Neural networks
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