×
验证码:
换一张
忘记密码?
记住我
CORC
首页
科研机构
检索
知识图谱
申请加入
托管服务
登录
注册
在结果中检索
科研机构
兰州理工大学 [86]
数学与系统科学研究... [55]
清华大学 [50]
地理科学与资源研究... [43]
厦门大学 [27]
成都山地灾害与环境... [26]
更多...
内容类型
期刊论文 [407]
会议论文 [88]
学位论文 [21]
其他 [12]
SCI/SSCI论文 [9]
EI期刊论文 [7]
更多...
发表日期
2023 [4]
2022 [25]
2021 [35]
2020 [33]
2019 [48]
2018 [36]
更多...
学科主题
空间环境 [9]
灾害学 [4]
空间物理 [4]
thermodyna... [2]
天文学 [2]
Computer S... [1]
更多...
×
知识图谱
CORC
开始提交
已提交作品
待认领作品
已认领作品
未提交全文
收藏管理
QQ客服
官方微博
反馈留言
浏览/检索结果:
共546条,第1-10条
帮助
已选(
0
)
清除
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
发表日期升序
发表日期降序
提交时间升序
提交时间降序
题名升序
题名降序
作者升序
作者降序
A Deep Learning Method for Dynamic Process Modeling of Real Landslides Based on Fourier Neural Operator
期刊论文
EARTH AND SPACE SCIENCE, 2024, 卷号: 11, 期号: 3, 页码: 13
作者:
Chen, Yanglong
;
Ouyang, Chaojun
;
Xu, Qingsong
;
Yang, Weibin
收藏
  |  
浏览/下载:0/0
  |  
提交时间:2024/04/19
deep learning
landslide
dynamic process
Fourier neural operator
data-driven method
Hierarchical U-net with re-parameterization technique for spatio-temporal weather forecasting
期刊论文
MACHINE LEARNING, 2024, 页码: 19
作者:
Xu, Baowen
;
Wang, Xuelei
;
Li, Jingwei
;
Liu, Chengbao
收藏
  |  
浏览/下载:0/0
  |  
提交时间:2024/02/21
Spatio-temporal weather forecasting
U-Net
Re-parameterization
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:1/0
  |  
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
Evaluation of the performance of the latest WRF model (V4.5) in simulating surface elements and its sensitivity to the diurnal SST cycle in the South China Sea
期刊论文
CLIMATE DYNAMICS, 2023, 页码: 18
作者:
Shi, Rui
;
Chen, Ju
;
He, Yunkai
;
Song, Wei
;
Li, Daning
收藏
  |  
浏览/下载:5/0
  |  
提交时间:2023/12/12
WRF model
Surface scheme
Model performance
South China Sea
A novel short-term radio flux trend prediction model based on deep learning
期刊论文
ASTROPHYSICS AND SPACE SCIENCE, 2023, 卷号: 368, 期号: 10
作者:
Zheng, Yanfang
;
Ling, Yi
;
Li, Xuebao
;
Qin, Weishu
;
Dong L(董亮)
收藏
  |  
浏览/下载:0/0
  |  
提交时间:2024/03/29
Sun
Solar activity
Solar radio flux
A Review of Application of Machine Learning in Storm Surge Problems
期刊论文
JOURNAL OF MARINE SCIENCE AND ENGINEERING, 2023, 卷号: 11, 期号: 9, 页码: 35
作者:
Qin, Yue
;
Su, Changyu
;
Chu, Dongdong
;
Zhang, Jicai
;
Song, Jinbao
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2023/11/15
storm surge prediction
machine learning
hybrid methods
physics-informed neural networks
Short-term load forecasting with an improved dynamic decomposition-reconstruction-ensemble approach
期刊论文
ENERGY, 2023, 卷号: 263, 页码: 16
作者:
Yang, Dongchuan
;
Guo, Ju-e
;
Li, Yanzhao
;
Sun, Shaolong
;
Wang, Shouyang
收藏
  |  
浏览/下载:13/0
  |  
提交时间:2023/02/07
Short -term load forecasting
Time series modeling
Dynamic decomposition-reconstruction tech
nique
Neural networks
IMPROVING MULTI-STEP AHEAD TOURISM DEMAND FORECASTING: A STRATEGY-DRIVEN APPROACH
期刊论文
EXPERT SYSTEMS WITH APPLICATIONS, 2022, 卷号: 210, 页码: 34
作者:
Sun, Shaolong
;
Du, Zongjuan
;
Zhang, Chengyuan
;
Wang, Shouyang
收藏
  |  
浏览/下载:129/0
  |  
提交时间:2023/02/07
Tourism demand forecasting
Multi-step ahead strategies
MIMO
DIRMO
Extreme learning machine
Multi-step ahead tourism demand forecasting: The perspective of the learning using privileged information paradigm
期刊论文
EXPERT SYSTEMS WITH APPLICATIONS, 2022, 卷号: 210, 页码: 12
作者:
Sun, Shaolong
;
Li, Mingchen
;
Wang, Shouyang
;
Zhang, Chengyuan
收藏
  |  
浏览/下载:129/0
  |  
提交时间:2023/02/07
Tourism demand
Multi -step ahead forecasting
Privileged information
Machine learning
Kernel random vector functional link network
Multi-scale analysis-driven tourism forecasting: insights from the peri-COVID-19
期刊论文
CURRENT ISSUES IN TOURISM, 2022, 页码: 24
作者:
Li, Mingchen
;
Zhang, Chengyuan
;
Wang, Shouyang
;
Sun, Shaolong
收藏
  |  
浏览/下载:133/0
  |  
提交时间:2023/02/07
Tourism demand forecasting
divide and conquer
Facebook prophet
deep learning
peri-COVID-19 era
©版权所有 ©2017 CSpace - Powered by
CSpace