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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: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
How to capture tourists' search behavior in tourism forecasts? A two-stage feature selection approach
期刊论文
EXPERT SYSTEMS WITH APPLICATIONS, 2023, 卷号: 213, 页码: 9
作者:
Sun, Shaolong
;
Hu, Mengyuan
;
Wang, Shouyang
;
Zhang, Chengyuan
收藏
  |  
浏览/下载:280/0
  |  
提交时间:2023/02/07
Tourism demand forecasting
Search engine data
Two -stage feature selection
Genetic algorithm
Kernel extreme learning machine
An extreme bias-penalized forecast combination approach to commodity price forecasting
期刊论文
INFORMATION SCIENCES, 2022, 卷号: 615, 页码: 774-793
作者:
Zhang, Yifei
;
Wang, Jue
;
Yu, Lean
;
Wang, Shouyang
收藏
  |  
浏览/下载:11/0
  |  
提交时间:2023/02/07
Forecast combination
Elastic net
Extreme bias
Weight-sparsity
Artificial bee colony algorithm
A stacking-based short-term wind power forecasting method by CBLSTM and ensemble learning
期刊论文
Journal of Renewable and Sustainable Energy, 2022, 卷号: 14, 期号: 4
作者:
Wang, Nier
;
Li, Zhanming
收藏
  |  
浏览/下载:28/0
  |  
提交时间:2022/09/22
Data handling
Decision trees
Electric load dispatching
Machine learning
Weather forecasting
Wind farm
Ensemble learning
Forecasting methods
Large amounts
Multi-model combination
Processing capacities
Short-term wind power forecasting
Stacking framework
Stackings
Times series
Forecasting Tourism Demand With a New Time-Varying Forecast Averaging Approach
期刊论文
JOURNAL OF TRAVEL RESEARCH, 2021, 页码: 19
作者:
Sun, Yuying
;
Zhang, Jian
;
Li, Xin
;
Wang, Shouyang
收藏
  |  
浏览/下载:12/0
  |  
提交时间:2022/04/02
forecast combination
nonparametric estimation
structural changes
tourism demand
time-varying jackknife model averaging
A combined traffic flow forecasting model based on graph convolutional network and attention mechanism
期刊论文
INTERNATIONAL JOURNAL OF MODERN PHYSICS C, 2021, 卷号: 32, 期号: 12
作者:
Zhang, Hong
;
Chen, Linlong
;
Cao, Jie
;
Zhang, Xijun
;
Kan, Sunan
收藏
  |  
浏览/下载:13/0
  |  
提交时间:2022/03/01
Traffic flow forecasting
deep learning
attention mechanism
graph convolutional network
spatiotemporal characteristics
A New Two-Stage Approach with Boosting and Model Averaging for Interval-Valued Crude Oil Prices Forecasting in Uncertainty Environments
期刊论文
FRONTIERS IN ENERGY RESEARCH, 2021, 卷号: 9, 页码: 11
作者:
Huang, Bai
;
Sun, Yuying
;
Wang, Shouyang
收藏
  |  
浏览/下载:10/0
  |  
提交时间:2022/04/02
crude oil prices forecasting
forecast combination
interval-valued time series
model averaging
vector L2-boosting
Spatial and Temporal Solutions of Vertical Displacement of Ground Surface Caused by Freezing Tunnel Construction Under Different Frost Heave Modes
期刊论文
Zhongguo Gonglu Xuebao/China Journal of Highway and Transport, 2021, 卷号: 34, 期号: 5, 页码: 144-155
作者:
Dong, Jian-Hua
;
Wu, Xiao-Lei
;
Shi, Li-Jun
收藏
  |  
浏览/下载:9/0
  |  
提交时间:2022/02/17
Forecasting
Freezing
Frozen soils
Heat conduction
MATLAB
Displacement distribution
Frozen wall thickness
Heat conduction theory
Interaction mechanisms
Superposition principle
Theoretical modeling
Theoretical solutions
Vertical displacements
Environmental challenges from the increasing medical waste since SARS outbreak
期刊论文
JOURNAL OF CLEANER PRODUCTION, 2021, 卷号: 291, 页码: 12
作者:
Wei, Yujun
;
Cui, Meng
;
Ye, Zhonghua
;
Guo, Qingjun
收藏
  |  
浏览/下载:44/0
  |  
提交时间:2021/06/10
Medical waste
Medical pollutant
Medical services
Health care institutions
Trend forecasting
Fault Monitoring Method of Wind Turbine Main Bearing
期刊论文
Zhendong Ceshi Yu Zhenduan/Journal of Vibration, Measurement and Diagnosis, 2021, 卷号: 41, 期号: 2, 页码: 341-347 and 415
作者:
Zheng, Yuqiao
;
Wei, Jianfeng
;
Zhu, Kai
;
Dong, Bo
收藏
  |  
浏览/下载:6/0
  |  
提交时间:2022/02/17
Bearings (machine parts)
Forecasting
Linear regression
Monitoring
Sliding mode control
Statistics
Support vector machines
Support vector regression
Wind turbines
Change of temperatures
Combination forecasting models
Determination coefficients
Mean and standard deviations
Multiple linear regression models
Multivariate linear regression model
Sliding window methods
Support vector machine regressions
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