机构

• 地质与地球物理研究... [15]

采集方式

• OAI收割 [15]

内容类型

• 期刊论文 [15]

发表日期

• 2023 [5]
• 2022 [2]
• 2021 [1]
• 2020 [2]
• 2019 [1]
• 2018 [2]
• 更多

学科主题

筛选

浏览/检索结果: 共15条，第1-10条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择提交时间升序提交时间降序发表日期升序发表日期降序题名升序题名降序作者升序作者降序 Finite-difference method for modeling the surface wave propagation with surface topography in anisotropic-viscoelastic media 期刊论文  OAI收割 JOURNAL OF APPLIED GEOPHYSICS, 2023, 卷号: 217, 页码: 17 作者:  Zhou, Xuhui;  Huo, Shoudong;  Liang, Yao;  Dong, Shuli   |  收藏  |  浏览/下载：2/0  |  提交时间：2023/12/29 Anisotropic  Viscoelastic  Surface waves  FD modeling  Free -surface boundary condition   Model parameter design for modeling surface topography in VTI elastic finite-difference near-surface simulations 期刊论文  OAI收割 GEOPHYSICS, 2023, 卷号: 88, 期号: 2, 页码: C33-C52 作者:  Zhou, Xuhui;  Huo, Shoudong;  Wang, Hao;  Dong, Shuli;  Liang, Yao   |  收藏  |  浏览/下载：1/0  |  提交时间：2023/12/29 Spectral inversion algorithm based on compressive sensing and its applications while drilling 期刊论文  OAI收割 CHINESE JOURNAL OF GEOPHYSICS-CHINESE EDITION, 2023, 卷号: 66, 期号: 1, 页码: 34-45 作者:  Shu MengCheng;  Zhang Feng;  Zou JiaRu;  Huo ShouDong;  Luo Ming   |  收藏  |  浏览/下载：22/0  |  提交时间：2023/03/30 Compressive sensing  L0 norm  Spectral inversion algorithm  While drilling   Pre-drilling risk assessment using seismic diffraction information in fractured formations 期刊论文  OAI收割 CHINESE JOURNAL OF GEOPHYSICS-CHINESE EDITION, 2023, 卷号: 66, 期号: 1, 页码: 46-53 作者:  Liang Yao;  Huo ShouDong;  Li XueLiang;  Shu MengCheng;  Yang Xiao   |  收藏  |  浏览/下载：16/0  |  提交时间：2023/03/30 Pre-drilling risk assessment  Fractured zone  Seismic diffraction  Gradient structural tensor   A High-Resolution Velocity Inversion Method Based on Attention Convolutional Neural Network 期刊论文  OAI收割 IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2023, 卷号: 61, 页码: 14 作者:  Li, Wenda;  Liu, Hong;  Wu, Tianqi;  Huo, Shoudong   |  收藏  |  浏览/下载：1/0  |  提交时间：2023/12/27 Attention  deep learning (DL)  full-waveform inversion (FWI)   Adaptive parameter-related implementation of the free surface in elastic anisotropic full-waveform modeling 期刊论文  OAI收割 JOURNAL OF APPLIED GEOPHYSICS, 2022, 卷号: 206, 页码: 17 作者:  Zhou, Xuhui;  Cao, Jian;  Wang, Guangfu;  Sun, Jianfang;  Huo, Shoudong   |  收藏  |  浏览/下载：15/0  |  提交时间：2023/04/03 2D FD modeling  Free surface boundary  Finite difference methods  Numerical modeling   Spatial-temporal graph convolutional network for Alzheimer classification based on brain functional connectivity imaging of electroencephalogram 期刊论文  OAI收割 HUMAN BRAIN MAPPING, 2022, 页码: 16 作者:  Shan, Xiaocai;  Cao, Jun;  Huo, Shoudong;  Chen, Liangyu;  Sarrigiannis, Ptolemaios Georgios   |  收藏  |  浏览/下载：36/0  |  提交时间：2022/07/18 artificial intelligence  brain association  electroencephalogram  graph convolutional neural network  machine learning   A Revised Hilbert-Huang Transformation to Track Non-Stationary Association of Electroencephalography Signals 期刊论文  OAI收割 IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING, 2021, 卷号: 29, 页码: 841-851 作者:  Shan, Xiaocai;  Huo, Shoudong;  Yang, Lichao;  Cao, Jun;  Zou, Jiaru   |  收藏  |  浏览/下载：28/0  |  提交时间：2021/10/19 Electroencephalography  Time-frequency analysis  Transforms  Wavelet transforms  Oscillators  Signal resolution  Physiology  EEG  transient connectivity  cross-spectrum  Hilbert Huang transform   Source-Receiver Interferometric Redatuming Using Sparse Buried Receivers to Address Complex Near-Surface Environments: A Case Study of Seismic Imaging Quality and Time-Lapse Repeatability 期刊论文  OAI收割 JOURNAL OF GEOPHYSICAL RESEARCH-SOLID EARTH, 2020, 卷号: 125, 期号: 6, 页码: 14 作者:  Zhao, Yang;  Niu, Fenglin;  Liu, Hongwei;  Jia, Xueyi;  Yang, Jidong   |  收藏  |  浏览/下载：23/0  |  提交时间：2020/12/07 Local SNR estimation of seismic data based on deep convolutional neural network 期刊论文  OAI收割 CHINESE JOURNAL OF GEOPHYSICS-CHINESE EDITION, 2020, 卷号: 63, 期号: 1, 页码: 320-328 作者:  Lu Yao;  Shan XiaoCai;  Huo ShouDong;  Yang ChangChun   |  收藏  |  浏览/下载：40/0  |  提交时间：2020/05/19 Local SNR estimation  Deep convolutional neural network  Quality evaluation