机构

• 地质与地球物理研究所 [5]
• 深海科学与工程研究所 [2]
• 地理科学与资源研究所 [1]
• 高能物理研究所 [1]
• 广州能源研究所 [1]

采集方式

• OAI收割 [10]

内容类型

• 期刊论文 [10]

发表日期

• 2023 [1]
• 2022 [1]
• 2021 [3]
• 2020 [3]
• 2019 [1]
• 2014 [1]
• 更多

学科主题

筛选

浏览/检索结果: 共10条，第1-10条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择题名升序题名降序提交时间升序提交时间降序作者升序作者降序发表日期升序发表日期降序 Quantitative interpretation of coal industrial components using a gray system and geophysical logging data: A case study from the Qinshui Basin, China 期刊论文  OAI收割 FRONTIERS IN EARTH SCIENCE, 2023, 卷号: 10, 页码: 21 作者:  Guo, Jianhong;  Zhang, Zhansong;  Xiao, Hang;  Zhang, Chaomo;  Zhu, Linqi   |  收藏  |  浏览/下载：16/0  |  提交时间：2023/03/03 coal quality analysis  industrial components  ash content  geophysical logging data  Qinshui Basin  OBGM (1, N)   A Deep Learning Method for Denoising Based on a Fast and Flexible Convolutional Neural Network 期刊论文  OAI收割 IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2022, 卷号: 60, 页码: 13 作者:  Li, Wenda;  Liu, Hong;  Wang, Jian   |  收藏  |  浏览/下载：39/0  |  提交时间：2022/07/04 Convolutional neural networks  Noise reduction  Neural networks  Training  Signal to noise ratio  Convolution  Image denoising  Geophysical data  geophysics computing   A method for land surface temperature retrieval based on model-data-knowledge-driven and deep learning 期刊论文  OAI收割 REMOTE SENSING OF ENVIRONMENT, 2021, 卷号: 265, 页码: 19 作者:  Wang, Han;  Mao, Kebiao;  Yuan, Zijin;  Shi, Jiancheng;  Cao, Mengmeng   |  收藏  |  浏览/下载：60/0  |  提交时间：2021/11/05 Land surface temperature (LST)  Model-data-knowledge-driven  Deep learning  Geophysical logical reasoning  Expert knowledge   Linkage of deep lithospheric structures to intraplate earthquakes: A perspective from multi -source and multi-scale geophysical data in the South China Block 期刊论文  OAI收割 EARTH-SCIENCE REVIEWS, 2021, 卷号: 214, 页码: 23 作者:  Di Qingyun;  Tian Fei;  Suo Yanhui;  Gao Rui;  Li Sanzhong   |  收藏  |  浏览/下载：111/0  |  提交时间：2021/10/19 Multi-source and multi-scale observations  Geophysical data  Lithospheric structure  Intraplate earthquake  South China Block   Residual Learning of Cycle-GAN for Seismic Data Denoising 期刊论文  OAI收割 IEEE ACCESS, 2021, 卷号: 9, 页码: 11585-11597 作者:  Li, Wenda;  Wang, Jian   |  收藏  |  浏览/下载：27/0  |  提交时间：2021/10/08 Noise reduction  Training  Neural networks  Generators  Generative adversarial networks  Signal to noise ratio  Testing  Geophysical data  geophysics computing  generative adversarial networks  noise reduction  residual learning   An improved volumetric method of geothermal resources assessment for shallow ground combining geophysical data 期刊论文  OAI收割 RENEWABLE ENERGY, 2020, 卷号: 145, 页码: 2306-2315 作者:  Tian, Baoqing;  Kong, Yanlong;  Gong, Yulie   |  收藏  |  浏览/下载：43/0  |  提交时间：2020/10/29 Accuracy of assessment  Volumetric method  Geophysical data  Shallow geothermal potential  Grid method  Unconsolidated layer   GeoVReality: A computational interactive virtual reality visualization framework and workflow for geophysical research 期刊论文  OAI收割 PHYSICS OF THE EARTH AND PLANETARY INTERIORS, 2020, 卷号: 298, 页码: 9 作者:  Wang, Xianying;  Guo, Cong;  Yuen, David A.;  Luo, Gang   |  收藏  |  浏览/下载：28/0  |  提交时间：2020/04/02 Virtual reality  Geophysical model  Interactive visualization  Unreal engine  Unity 3D  Big data   An improved volumetric method of geothermal resources assessment for shallow ground combining geophysical data 期刊论文  OAI收割 RENEWABLE ENERGY, 2020, 卷号: 145, 页码: 2306-2315 作者:  Tian, Baoqing;  Kong, Yanlong;  Gong, Yulie;  Ye, Cantao;  Pang, Zhonghe   |  收藏  |  浏览/下载：27/0  |  提交时间：2020/05/19 Accuracy of assessment  Volumetric method  Geophysical data  Shallow geothermal potential  Grid method  Unconsolidated layer   GIGJ: A Crustal Gravity Model of the Guangdong Province for Predicting the Geoneutrino Signal at the JUNO Experiment 期刊论文  OAI收割 JOURNAL OF GEOPHYSICAL RESEARCH-SOLID EARTH, 2019, 卷号: 124, 期号: 4 作者:  Reguzzoni, M;  Rossi, L;  Baldoncini, M;  Callegari, I;  Poli, P   |  收藏  |  浏览/下载：7/0  |  提交时间：2023/03/27 Bayesian method  upper  middle  and lower crust  South China Block  GOCE data gravimetric inversion  geophysical uncertainties  Monte Carlo stochastic optimization   Composition model of the crust beneath the Ordos basin and the Yinshan mountains in China, based on seismic velocity, heat flow and gravity data 期刊论文  OAI收割 TECTONOPHYSICS, 2014, 卷号: 634, 页码: 246-256 作者:  Zhang, Yongqian;  Teng, Jiwen;  Wang, Qianshen;  Wang, Fuyun;  Lu, Qingtian   |  收藏  |  浏览/下载：41/0  |  提交时间：2018/09/26 Geophysical data  Lithologic model of the crust  Ordos basin  Yinshan mountains  China