中文版 | English

在结果中检索

Arid

浏览/检索结果: 共13条，第1-10条 帮助

已选(0)清除 条数/页：   排序方式：
Rare microbial taxa as the major drivers of nutrient acquisition under moss biocrusts in karst area 期刊论文
发表期刊: FRONTIERS IN MICROBIOLOGY. 出版年: 2024, 卷号: 15
作者:  Dong, Xintong;  Chen, Man;  Chen, Qi;  Liu, Kangfei;  Long, Jie;  Li, Yunzhou;  Ren, Yinuo;  Yang, Tao;  Zhou, Jinxing;  Herath, Saman;  Peng, Xiawei
收藏  |  浏览/下载：31/0  |  提交时间：2024/10/04
land degradation  bryophytes  extracellular enzyme stoichiometry  assembly processes  co-occurrence networks  
Spatio-Temporal Variations of Habitat Quality Under 8 SSP-RCP Scenarios in China 期刊论文
发表期刊: JOURNAL OF GEOPHYSICAL RESEARCH-BIOGEOSCIENCES. 出版年: 2024, 卷号: 129, 期号: 7
作者:  Feng, Yuke;  Zhai, Shiyan;  Song, Genxin;  Song, Hongquan;  Dong, Guanpeng;  Jiang, Xintong;  Dong, Changchang;  Jayathilaka, H. B. T. P.
收藏  |  浏览/下载：15/0  |  提交时间：2024/10/04
climate change  habitat quality  ecologically fragile  SSP-RCP  China  
The Application of Semisupervised Attentional Generative Adversarial Networks in Desert Seismic Data Denoising 期刊论文
发表期刊: IEEE GEOSCIENCE AND REMOTE SENSING LETTERS. 出版年: 2022
作者:  Li, Yue;  Luo, Xinming;  Wu, Ning;  Dong, Xintong
收藏  |  浏览/下载：41/0  |  提交时间：2022/02/12
Noise reduction  Noise measurement  Training  Generators  Signal to noise ratio  Generative adversarial networks  Mathematical model  Class activation map (CAM)  deep learning (DL)  desert seismic data  generative adversarial networks (GANs)  
基于深度学习的复杂陆地地震数据噪声压制方法研究 学位论文
学位授予机构: 吉林大学. 出版年: 2021
作者:  董新桐
收藏  |  浏览/下载：12/0  |  提交时间：2021/12/01
Generative Adversarial Network for Desert Seismic Data Denoising 期刊论文
发表期刊: IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING. 出版年: 2021, 卷号: 59, 期号: 8, 页码: 7062-7075
作者:  Wang, Hongzhou;  Li, Yue;  Dong, Xintong
收藏  |  浏览/下载：37/0  |  提交时间：2021/11/19
Noise reduction  Generators  Generative adversarial networks  Gallium nitride  Convolution  Signal to noise ratio  Training  Adversarial training  convolutional neural network (CNN)  desert seismic data  generative adversarial network (GAN)  low signal-to-noise ratios (SNRs)  
The Denoising of Desert Seismic Data Based on Cycle-GAN With Unpaired Data Training 期刊论文
发表期刊: IEEE GEOSCIENCE AND REMOTE SENSING LETTERS. 出版年: 2021, 卷号: 18, 期号: 11, 页码: 2016-2020
作者:  Li, Yue;  Wang, Hongzhou;  Dong, Xintong
收藏  |  浏览/下载：42/0  |  提交时间：2021/11/29
Noise reduction  Training  Noise measurement  Generators  Gallium nitride  Data models  Generative adversarial networks  Cycle-generative adversarial networks (GANs)  desert seismic data  training set  unpaired data training  
DESERT SEISMIC DATA DENOISING AND EFFECTIVE SIGNAL RECOVERY BY USING IMPROVED SHEARLET TRANSFORM BASED ON THE DEEP-LEARNING COEFFICIENT SELECTION 期刊论文
发表期刊: JOURNAL OF SEISMIC EXPLORATION. 出版年: 2021, 卷号: 30, 期号: 5, 页码: 455-479
作者:  Dong, Xintong;  Li, Yue;  Yang, Baojun
收藏  |  浏览/下载：15/0  |  提交时间：2022/02/12
desert seismic data  shearlet transform  noise suppression  convolutional neural network  low signal-to-noise ratio  spectrum overlapping  
一种基于流形分区2D-VMD的沙漠复杂噪声压制方法 专利
授权日期：2020-12-25. 专利权人：吉林大学.
发明人:  田雅男;  李月;  吴宁;  董新桐;  李默
收藏  |  浏览/下载：38/0  |  提交时间：2022/03/19
Background noise suppression using trainable nonlinear reaction diffusion assisted by robust principle component analysis 期刊论文
发表期刊: EXPLORATION GEOPHYSICS. 出版年: 2020, 卷号: 51, 期号: 6, 页码: 642-651
作者:  Jia, Nan;  Ma, Haitao;  Dong, Xintong;  Li, Yue
收藏  |  浏览/下载：27/0  |  提交时间：2020/05/22
Noise  attenuation  solid earth geophysics  seismic exploration  
New Suppression Technology for Low-Frequency Noise in Desert Region: The Improved Robust Principal Component Analysis Based on Prediction of Neural Network 期刊论文
发表期刊: IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING. 出版年: 2020, 卷号: 58, 期号: 7, 页码: 4680-4690
作者:  Dong, Xintong;  Zhong, Tie;  Li, Yue
收藏  |  浏览/下载：10/0  |  提交时间：2021/01/07
Low-frequency noise  Noise reduction  Training  Noise measurement  Sparse matrices  Signal to noise ratio  Predictive models  Convolutional neural network (CNN)  desert low-frequency noise  low-rank matrix (LM)  robust principal component analysis (RPCA)  sparse matrix (SM)