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A deep learning-based hybrid approach for multi-time-ahead streamflow prediction in an arid region of Northwest China 期刊论文
发表期刊: HYDROLOGY RESEARCH. 出版年: 2024, 卷号: 55, 期号: 2, 页码: 180-204
作者:  Fang, J. J.;  Yang, Linshan;  Wen, Xiaohu;  Li, Weide;  Yu, Haijiao;  Zhou, Ting
收藏  |  浏览/下载：24/0  |  提交时间：2024/10/04
convolutional neural network (CNN)  long short-term memory (LSTM)  Shule River  streamflow prediction  Transformer  
Adaptive 3DCNN-Based Interpretable Ensemble Model for Early Diagnosis of Alzheimer's Disease 期刊论文
发表期刊: IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS. 出版年: 2024, 卷号: 11, 期号: 1, 页码: 247-266
作者:  Pan, Dan;  Luo, Genqiang;  Zeng, An;  Zou, Chao;  Liang, Haolin;  Wang, Jianbin;  Zhang, Tong;  Yang, Baoyao
收藏  |  浏览/下载：19/0  |  提交时间：2024/10/04
Alzheimer's disease (AD)  attribution methods  convolutional neural network (CNN)  deep learning (DL)  ensemble learning (EL)  genetic algorithm  interpretability  magnetic resonance imaging  
Forecasting the potential of reclaimed water using signal decomposition and deep learning 期刊论文
发表期刊: JOURNAL OF WATER PROCESS ENGINEERING. 出版年: 2024, 卷号: 65
作者:  Chen, Yinglong;  Zhang, Hongling;  Peng, Jingkai;  Ma, Shilong;  Xu, Tengsheng;  Tang, Lian
收藏  |  浏览/下载：16/0  |  提交时间：2024/10/04
Complete ensemble empirical mode decompositionwith adaptivenoise(CEEMDAN)  Deep learning  Long short-term memory neural network (LSTM)  Convolutional neural network (CNN)  Reclaimed water volumes forecasting  
DnResNeXt Network for Desert Seismic Data Denoising 期刊论文
发表期刊: IEEE GEOSCIENCE AND REMOTE SENSING LETTERS. 出版年: 2022, 卷号: 19
作者:  Yao, Haiyang;  Ma, Haitao;  Li, Yue;  Feng, Qiankun
收藏  |  浏览/下载：29/0  |  提交时间：2022/03/17
Noise reduction  Signal to noise ratio  Noise measurement  Training  Convolutional neural networks  Convolution  Deep learning  Convolutional neural network (CNN)  deep learning  denoising  desert seismic noise  residual learning  seismic exploration  
Desert Seismic Low-Frequency Noise Attenuation Using Low-Rank Decomposition-Based Denoising Convolutional Neural Network 期刊论文
发表期刊: IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING. 出版年: 2022, 卷号: 60
作者:  Ma, Haitao;  Wang, Yuzhuo;  Li, Yue;  Zhao, Yuxing
收藏  |  浏览/下载：47/0  |  提交时间：2022/02/12
Convolution  Attenuation  Neural networks  Training  Signal to noise ratio  Noise reduction  Noise measurement  Convolutional neural network (CNN)  deep learning  desert seismic noise attenuation  low-rank decomposition  
A Branch Construction-Based CNN Denoiser for Desert Seismic Data 期刊论文
发表期刊: IEEE GEOSCIENCE AND REMOTE SENSING LETTERS. 出版年: 2021, 卷号: 18, 期号: 4, 页码: 736-740
作者:  Lin, Hongbo;  Wang, Shifu;  Li, Yue
收藏  |  浏览/下载：38/0  |  提交时间：2021/07/30
Noise reduction  Training  Convolution  Radio frequency  Data models  Noise measurement  Training data  Convolutional neural network (CNN)  deep learning  denoise  desert seismic random noise  seismic exploration  
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：38/0  |  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)  
Deep Residual Encoder-Decoder Networks for Desert Seismic Noise Suppression 期刊论文
发表期刊: IEEE GEOSCIENCE AND REMOTE SENSING LETTERS. 出版年: 2020, 卷号: 17, 期号: 3, 页码: 529-533
作者:  Ma, Haitao;  Yao, Haiyang;  Li, Yue;  Wang, Hongzhou
收藏  |  浏览/下载：20/0  |  提交时间：2020/05/22
Noise reduction  Signal to noise ratio  Deconvolution  Convolution  Noise measurement  Training  Deep learning  Convolutional neural network (CNN)  deep learning  denoising  desert seismic noise  residual learning  seismic exploration  
Low-Frequency Desert Noise Intelligent Suppression in Seismic Data Based on Multiscale Geometric Analysis Convolutional 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: 1, 页码: 650-665
作者:  Zhao, Yuxing;  Li, Yue;  Yang, Baojun
收藏  |  浏览/下载：17/0  |  提交时间：2020/03/23
Noise reduction  Feature extraction  Signal to noise ratio  Signal resolution  Training  Transforms  Surface waves  Convolutional neural network (CNN)  low-frequency noise suppression  multiscale geometric analysis (MGA)  seismic exploration  training set  
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：11/0  |  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)