中文版 | English

在结果中检索

IOCAS-IR

浏览/检索结果: 共28条，第1-10条 帮助

已选(0)清除 条数/页：   排序方式：
Tropical cyclone intensity forecasting using model knowledge guided deep learning model 期刊论文
ENVIRONMENTAL RESEARCH LETTERS, 2024, 卷号: 19, 期号: 2, 页码: 10
作者:  Wang, Chong;  Li, Xiaofeng;  Zheng, Gang
收藏  |  浏览/下载：11/0  |  提交时间：2024/04/07
tropical cyclone intensity forecast  deep learning  model knowledge  
Graph-Based Memory Recall Recurrent Neural Network for Mid-Term Sea-Surface Height Anomaly Forecasting 期刊论文
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2024, 卷号: 17, 页码: 6642-6657
作者:  Zhou, Yuan;  Ren, Tian;  Chen, Keran;  Gao, Le;  Li, Xiaofeng
收藏  |  浏览/下载：10/0  |  提交时间：2024/06/04
Forecasting  Predictive models  Atmospheric waves  Spatiotemporal phenomena  Sea surface  Ocean waves  Data models  Sea-surface height anomaly (SSHA)  deep learning (DL)  spatiotemporal prediction  Rossby waves  
Reconstructing 3-D Thermohaline Structures for Mesoscale Eddies Using Satellite Observations and Deep Learning 期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2024, 卷号: 62, 页码: 16
作者:  Liu, Yingjie;  Wang, Haoyu;  Jiang, Fei;  Zhou, Yuan;  Li, Xiaofeng
收藏  |  浏览/下载：34/0  |  提交时间：2024/06/04
Deep learning (DL)  mesoscale eddies  prior knowledge-embedded  reconstruction of 3-D thermohaline structure  
Sea Surface Temperature and Marine Heat Wave Predictions in the South China Sea: A 3D U-Net Deep Learning Model Integrating Multi-Source Data 期刊论文
ATMOSPHERE, 2024, 卷号: 15, 期号: 1, 页码: 20
作者:  Xie, Bowen;  Qi, Jifeng;  Yang, Shuguo;  Sun, Guimin;  Feng, Zhongkun;  Yin, Baoshu;  Wang, Wenwu;  Salata, Ferdinando
收藏  |  浏览/下载：63/0  |  提交时间：2024/04/07
sea surface temperature  deep learning  3D U-Net model  marine heat waves  South China Sea  multi-source data  
Developing a Data-Driven Transfer Learning Model to Locate Tropical Cyclone Centers on Satellite Infrared Imagery 期刊论文
JOURNAL OF ATMOSPHERIC AND OCEANIC TECHNOLOGY, 2023, 卷号: 40, 期号: 12, 页码: 1417-1430
作者:  Wang, Chong;  Li, Xiaofeng
Adobe PDF(40204Kb)  |  收藏  |  浏览/下载：49/0  |  提交时间：2024/04/07
Tropical cyclones  Remote sensing  Deep learning  
Biological characters identification for hard clam larva based on the improved YOLOX-s 期刊论文
COMPUTERS AND ELECTRONICS IN AGRICULTURE, 2023, 卷号: 212, 页码: 8
作者:  Wang, Yaxin;  Wu, Haiyun;  Hua, Xiuping;  Ren, Dongyue;  Li, Yang;  Mu, Zhimin;  Xu, Wei;  Wei, Yong;  Zhang, Tao;  Jiang, Yongcheng
收藏  |  浏览/下载：137/0  |  提交时间：2023/12/13
Hard clam larva  YOLOX-s  Biological characters  Convolutional block attention mechanism  Deep learning  
Global estimation of phytoplankton pigment concentrations from satellite data using a deep-learning-based model 期刊论文
REMOTE SENSING OF ENVIRONMENT, 2023, 卷号: 294, 页码: 16
作者:  Li, Xiaolong;  Yang, Yi;  Ishizaka, Joji;  Li, Xiaofeng
收藏  |  浏览/下载：96/0  |  提交时间：2023/12/13
Phytoplankton pigments  Remote sensing  Deep learning  Satellite  Global Ocean  Phytoplankton community  El Nino  
A Transformer-Based Deep Learning Model for Successful Predictions of the 2021 Second-Year La Nina Condition 期刊论文
GEOPHYSICAL RESEARCH LETTERS, 2023, 卷号: 50, 期号: 12, 页码: 10
作者:  Gao, Chuan;  Zhou, Lu;  Zhang, Rong-Hua
收藏  |  浏览/下载：169/0  |  提交时间：2023/11/30
the 2021 second-year cooling condition  a transformer-based deep learning model  3D multivariate prediction  subsurface thermal effect  comparison with dynamical models  
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：90/0  |  提交时间：2023/12/13
Indonesian Throughflow  sea surface height  neural network  deep learning  CNN  
Predicting the Daily Sea Ice Concentration on a Subseasonal Scale of the Pan-Arctic During the Melting Season by a Deep Learning Model 期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2023, 卷号: 61, 页码: 15
作者:  Ren, Yibin;  Li, Xiaofeng
收藏  |  浏览/下载：32/0  |  提交时间：2023/12/13
Predictive models  Atmospheric modeling  Sea ice  Numerical models  Arctic  Ocean temperature  Data models  Deep learning  Pan-Arctic  physically constrained loss function  sea ice concentration (SIC) prediction  subseasonal scale