中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
首页
机构
成果
学者
登录
注册
登陆
×
验证码:
换一张
忘记密码?
记住我
×
校外用户登录
CAS IR Grid
机构
地理科学与资源研究... [45]
数学与系统科学研究... [27]
成都山地灾害与环境研... [9]
寒区旱区环境与工程研... [8]
海洋研究所 [6]
自动化研究所 [6]
更多
采集方式
OAI收割 [151]
iSwitch采集 [11]
内容类型
期刊论文 [126]
会议论文 [11]
学位论文 [11]
SCI/SSCI论... [10]
EI期刊论文 [4]
发表日期
2023 [4]
2022 [19]
2021 [13]
2020 [14]
2019 [13]
2018 [7]
更多
学科主题
天文学 [4]
空间环境 [3]
天文学::太阳与太阳... [2]
灾害学 [2]
Astronomy ... [1]
Computer S... [1]
更多
筛选
浏览/检索结果:
共162条,第1-10条
帮助
条数/页:
5
10
15
20
25
30
35
40
45
50
55
60
65
70
75
80
85
90
95
100
排序方式:
请选择
提交时间升序
提交时间降序
发表日期升序
发表日期降序
题名升序
题名降序
作者升序
作者降序
Floating in the air: forecasting allergenic pollen concentration for managing urban public health
期刊论文
OAI收割
INTERNATIONAL JOURNAL OF DIGITAL EARTH, 2024, 卷号: 17, 期号: 1, 页码: 21
作者:
Zhu, Xiaoyu
;
Ma, Xuanlong
;
Zhang, Zhengyang
;
Liu, Yuxia
;
Luo, Yunpeng
  |  
收藏
  |  
浏览/下载:19/0
  |  
提交时间:2024/03/01
Aerobiology
pollen forecasting
urban sustainability
big data
public health
machine learning
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
OAI收割
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:17/0
  |  
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
Spatiotemporal Prediction of Ionospheric Total Electron Content Based on ED-ConvLSTM
期刊论文
OAI收割
REMOTE SENSING, 2023, 卷号: 15, 期号: 12, 页码: 21
作者:
Li, Liangchao
;
Liu, Haijun
;
Le, Huijun
;
Yuan, Jing
;
Shan, Weifeng
  |  
收藏
  |  
浏览/下载:7/0
  |  
提交时间:2024/01/02
ionospheric TEC
ConvLSTM
encoder-decoder
spatiotemporal
geomagnetic storm
A combination predicting methodology based on T-LSTNet_Markov for short-term wind power prediction
期刊论文
OAI收割
NETWORK-COMPUTATION IN NEURAL SYSTEMS, 2023, 页码: 23
作者:
Wang, Yongsheng
;
Wu, Yuhao
;
Xu, Hao
;
Chen, Zhen
;
Gao, Jing
  |  
收藏
  |  
浏览/下载:12/0
  |  
提交时间:2023/12/04
Wind power forecast
T-LSTNet_markov model
Deep learning
Time series analysis
Forecasting carbon prices based on real-time decomposition and causal temporal convolutional networks
期刊论文
OAI收割
APPLIED ENERGY, 2023, 卷号: 331, 页码: 20
作者:
Li, Dan
;
Li, Yijun
;
Wang, Chaoqun
;
Chen, Min
;
Wu, Qi
  |  
收藏
  |  
浏览/下载:22/0
  |  
提交时间:2023/02/07
Carbon price forecast
Granger forecast
Real-time decomposition
Neural Granger causality
Causal temporal convolutional network
Using a deep-learning approach to infer and forecast the Indonesian Throughflow transport from sea surface height
期刊论文
OAI收割
FRONTIERS IN MARINE SCIENCE, 2023, 卷号: 10, 页码: 10
作者:
Xin, Linchao
;
Hu, Shijian
;
Wang, Fan
;
Xie, Wenhong
;
Hu, Dunxin
  |  
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2023/12/13
Indonesian Throughflow
sea surface height
neural network
deep learning
CNN
Estimation and characterization of the refractive index structure constant within the marine atmospheric boundary layer
期刊论文
OAI收割
APPLIED OPTICS, 2022, 卷号: 61
作者:
Zhang, Hanjiu
;
Zhu, Liming
;
Sun, Gang
;
Zhang, Kun
;
Xu, Manman
  |  
收藏
  |  
浏览/下载:29/0
  |  
提交时间:2022/12/23
A novel two-stage seasonal grey model for residential electricity consumption forecasting
期刊论文
OAI收割
ENERGY, 2022, 卷号: 258, 页码: 18
作者:
Du, Pei
;
Guo, Ju'e
;
Sun, Shaolong
;
Wang, Shouyang
;
Wu, Jing
  |  
收藏
  |  
浏览/下载:16/0
  |  
提交时间:2023/02/07
Electricity consumption forecasting
Grey model
Seasonal factor
Error correction strategy
Model averaging for interval-valued data
期刊论文
OAI收割
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2022, 卷号: 301, 期号: 2, 页码: 772-784
作者:
Sun, Yuying
;
Zhang, Xinyu
;
Wan, Alan T. K.
;
Wang, Shouyang
  |  
收藏
  |  
浏览/下载:10/0
  |  
提交时间:2023/02/07
Forecasting
Asymptotic optimality
Interval-valued time series
Model averaging
Vector autoregression
A new PM2.5 concentration forecasting system based on AdaBoost-ensemble system with deep learning approach
期刊论文
OAI收割
JOURNAL OF FORECASTING, 2022, 页码: 22
作者:
  |  
收藏
  |  
浏览/下载:8/0
  |  
提交时间:2023/02/07
AdaBoost-ensemble
deep learning
hybrid data preprocessing-analysis strategy
LSTM