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Evolution of 3-D chlorophyll in the northwestern Pacific Ocean using a Gaussian-activation deep neural network model 期刊论文
FRONTIERS IN MARINE SCIENCE, 2024, 卷号: 11, 页码: 17
作者:  Zhao, Xianzhi;  Gong, Xiang;  Gong, Xun;  Liu, Jiyao;  Wang, Guoju;  Wang, Lixin;  Guo, Xinyu;  Gao, Huiwang
收藏  |  浏览/下载：17/0  |  提交时间：2024/08/29
deep neural network  Gaussian activation  3-D chlorophyll structure  subsurface chlorophyll maximum  long-term trend  
Deep learning to estimate ocean subsurface salinity structure in the Indian Ocean using satellite observations 期刊论文
JOURNAL OF OCEANOLOGY AND LIMNOLOGY, 2024, 页码: 13
作者:  Qi, Jifeng;  Sun, Guimin;  Xie, Bowen;  Li, Delei;  Yin, Baoshu
收藏  |  浏览/下载：94/0  |  提交时间：2024/04/07
machine learning  convolutional neural network (CNN)  ocean subsurface salinity structure (OSSS)  Indian Ocean  satellite observations  
Prediction of 3-D Ocean Temperature Based on Self-Attention and Predictive RNN 期刊论文
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2024, 卷号: 21, 页码: 5
作者:  Yue, Weihao;  Xu, Yongsheng;  Xiang, Liang;  Zhu, Shanliang;  Huang, Chao;  Zhang, Qingjun;  Zhang, Liqiang;  Zhan, Xiangguang
收藏  |  浏览/下载：81/0  |  提交时间：2024/06/04
Climate change  Recurrent neural networks  Temperature measurement  Ocean temperature  Predictive models  Global gridded temperature data with Barnes objective analysis (BOA-ARGO)  predictive recurrent neural network (PredRNN)  self-attention  
Intelligent fault diagnosis of train bearing based on ISTOA-VMD and SE-WDCNN 期刊论文
JOURNAL OF VIBRATION AND CONTROL, 2023, 页码: 12
作者:  He, Deqiang;  Zou, Xueyan;  Jin, Zhenzhen;  Yan, Jingren;  Ren, Chonghui;  Zhou, Jixu
收藏  |  浏览/下载：97/0  |  提交时间：2023/12/07
intelligent fault diagnosis  train bearing  improved sooty tern optimization algorithm  variational mode decomposition  deep convolutional neural network  
Estimation of nitrate concentration and its distribution in the northwestern Pacific Ocean by a deep neural network model 期刊论文
DEEP-SEA RESEARCH PART I-OCEANOGRAPHIC RESEARCH PAPERS, 2023, 卷号: 195, 页码: 11
作者:  Wang, Lixin;  Xu, Zhenhua;  Gong, Xiang;  Zhang, Peiwen;  Hao, Zhanjiu;  You, Jia;  Zhao, Xianzhi;  Guo, Xinyu
收藏  |  浏览/下载：160/0  |  提交时间：2023/12/13
Nitrate  Spatial distribution  Deep neural network  Northwestern pacific ocean  
Rapid identification of fish species by laser-induced breakdown spectroscopy and Raman spectroscopy coupled with machine learning methods 期刊论文
FOOD CHEMISTRY, 2023, 卷号: 400, 页码: 9
作者:  Ren, Lihui;  Tian, Ye;  Yang, Xiaoying;  Wang, Qi;  Wang, Leshan;  Geng, Xin;  Wang, Kaiqiang;  Du, Zengfeng;  Li, Ying;  Lin, Hong
Adobe PDF(4660Kb)  |  收藏  |  浏览/下载：246/0  |  提交时间：2023/01/12
Fish species identification  laser -induced breakdown spectroscopy (LIBS)  Raman spectroscopy  Machine learning  convolutional neural network (CNN)  Data fusion  
Using a deep-learning approach to infer and forecast the Indonesian Throughflow transport from sea surface height 期刊论文
FRONTIERS IN MARINE SCIENCE, 2023, 卷号: 10, 页码: 10
作者:  Xin, Linchao;  Hu, Shijian;  Wang, Fan;  Xie, Wenhong;  Hu, Dunxin;  Dong, Changming
收藏  |  浏览/下载：121/0  |  提交时间：2023/12/13
Indonesian Throughflow  sea surface height  neural network  deep learning  CNN  
Recovering Bathymetry From Satellite Altimetry-Derived Gravity by Fully Connected Deep Neural Network 期刊论文
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2023, 卷号: 20, 页码: 5
作者:  Yang, Lei;  Liu, Min;  Liu, Na;  Guo, Jinyun;  Lin, Lina;  Zhang, Yuyuan;  Du, Xing;  Xu, Yongsheng;  Zhu, Chengcheng;  Wang, Yongkang
收藏  |  浏览/下载：254/0  |  提交时间：2023/12/07
Gravity  Bathymetry  Satellites  Geology  Altimetry  Geologic measurements  Sea measurements  convolutional neural network (CNN)  fully connected deep neural network (FC-DNN)  gravity  gravity-geological method  satellite altimetry  
Recovering Gravity from Satellite Altimetry Data Using Deep Learning Network 期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2023, 卷号: 61, 页码: 11
作者:  Zhu, Chengcheng;  Yang, Lei;  Bian, Hongwei;  Li, Houpu;  Guo, Jinyun;  Liu, Na;  Lin, Lina
收藏  |  浏览/下载：190/0  |  提交时间：2023/12/13
Gravity  Deep learning  Sea measurements  Satellites  Underwater vehicles  Training  Data models  gravity anomaly  multichannel convolutional neural network (MCCNN)  satellite altimetry  Index Terms  submarine topography  
Prediction of Significant Wave Height in Offshore China Based on the Machine Learning Method 期刊论文
JOURNAL OF MARINE SCIENCE AND ENGINEERING, 2022, 卷号: 10, 期号: 6, 页码: 20
作者:  Feng, Zhijie;  Hu, Po;  Li, Shuiqing;  Mo, Dongxue
收藏  |  浏览/下载：260/0  |  提交时间：2022/08/17
wave height  recurrent neural network  long short-term memory network  GRU  EMD