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科研机构
海洋研究所 [11]
内容类型
期刊论文 [11]
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2024 [2]
2022 [2]
2021 [1]
2020 [1]
2019 [3]
2018 [1]
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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
收藏
  |  
浏览/下载:3/0
  |  
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
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:0/0
  |  
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
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:18/0
  |  
提交时间:2022/08/17
wave height
recurrent neural network
long short-term memory network
GRU
EMD
A Hybrid Neural Network Model for ENSO Prediction in Combination with Principal Oscillation Pattern Analyses
期刊论文
ADVANCES IN ATMOSPHERIC SCIENCES, 2022, 页码: 14
作者:
Zhou, Lu
;
Zhang, Rong-Hua
收藏
  |  
浏览/下载:18/0
  |  
提交时间:2022/04/12
ENSO prediction
the principal oscillation pattern (POP) analyses
neural network
a hybrid approach
Design of an Intelligent Variable-Flow Recirculating Aquaculture System Based on Machine Learning Methods
期刊论文
APPLIED SCIENCES-BASEL, 2021, 卷号: 11, 期号: 14, 页码: 15
作者:
Chen, Fudi
;
Du, Yishuai
;
Qiu, Tianlong
;
Xu, Zhe
;
Zhou, Li
收藏
  |  
浏览/下载:19/0
  |  
提交时间:2021/08/17
recirculating aquaculture system
variable-flow regulation model
circulating pump-drum filter linkage working technique
machine learning methods
gene algorithm support vector machine
Accumulation and distribution of neurotoxin BMAA in aquatic animals and effect on the behavior of zebrafish in a T-maze test
期刊论文
TOXICON, 2020, 卷号: 173, 页码: 39-47
作者:
Wang, Shuqin
;
Qiu, Jiangbing
;
Zhao, Mingyue
;
Li, Fangxiao
;
Yu, Rencheng
收藏
  |  
浏览/下载:51/0
  |  
提交时间:2020/03/20
beta-N-mothylamino-L-alanine (BMAA)
Toxin accumulation
Opossum shrimp
Zebrafish
T-maze test
A novel residual graph convolution deep learning model for short-term network-based traffic forecasting
期刊论文
INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE, 2019, 卷号: 34, 期号: 5, 页码: 27
作者:
Zhang, Yang
;
Cheng, Tao
;
Ren, Yibin
;
Xie, Kun
收藏
  |  
浏览/下载:16/0
  |  
提交时间:2020/03/20
Short-term traffic forecasting
spatial-temporal dependency
network topology
graph convolution
residual long short-term memory
Short-Term Prediction of Bus Passenger Flow Based on a Hybrid Optimized LSTM Network
期刊论文
ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION, 2019, 卷号: 8, 期号: 9, 页码: 24
作者:
Han, Yong
;
Wang, Cheng
;
Ren, Yibin
;
Wang, Shukang
;
Zheng, Huangcheng
收藏
  |  
浏览/下载:80/0
  |  
提交时间:2020/01/03
passenger flow
short-term prediction
long short-term memory network
hybrid optimization algorithm
A hybrid integrated deep learning model for the prediction of citywide spatio-temporal flow volumes
期刊论文
INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE, 2019, 页码: 22
作者:
Ren, Yibin
;
Chen, Huanfa
;
Han, Yong
;
Cheng, Tao
;
Zhang, Yang
收藏
  |  
浏览/下载:76/0
  |  
提交时间:2019/11/14
Spatio-temporal flow volume
prediction
deep learning
LSTM
ResNet
The IOD-ENSO precursory teleconnection over the tropical Indo-Pacific Ocean: dynamics and long-term trends under global warming
期刊论文
JOURNAL OF OCEANOLOGY AND LIMNOLOGY, 2018, 卷号: 36, 期号: 1, 页码: 4-19
作者:
Yuan Dongliang
;
Hu Xiaoyue
;
Xu Peng
;
Zhao Xia
;
Masumoto, Yukio
收藏
  |  
浏览/下载:24/0
  |  
提交时间:2019/08/21
Indian Ocean Dipole (IOD)
El Nino-Southern Oscillation (ENSO)
oceanic channel
Indonesian Throughflow
ENSO predictability
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