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Advancing ocean subsurface thermal structure estimation in the Pacific Ocean: A multi-model ensemble machine learning approach
期刊论文
DYNAMICS OF ATMOSPHERES AND OCEANS, 2023, 卷号: 104, 页码: 16
作者:
Qi, Jifeng
;
Zhang, Linlin
;
Yin, Baoshu
;
Li, Delei
;
Xie, Bowen
收藏
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浏览/下载:0/0
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提交时间:2024/04/07
Ensemble machine learning model
Satellite observations
Ocean subsurface thermal structure
Pacific ocean
Physical interpretation of neural network-based nonlinear eddy viscosity models
期刊论文
AEROSPACE SCIENCE AND TECHNOLOGY, 2023, 卷号: 142, 页码: 13
作者:
Zhang, Xin-Lei
;
Xiao, Heng
;
Jee, Solkeun
;
He, Guowei
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浏览/下载:8/0
  |  
提交时间:2023/11/28
Machine learning
Turbulence modeling
Ensemble Kalman inversion
Physical interpretability
A neuroimaging biomarker for Individual Brain-Related Abnormalities In Neurodegeneration (IBRAIN): a cross-sectional study
期刊论文
ECLINICALMEDICINE, 2023, 卷号: 65, 页码: 14
作者:
Zhao, Kun
;
Chen, Pindong
;
Alexander-Bloch, Aaron
;
Wei, Yongbin
;
Dyrba, Martin
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浏览/下载:2/0
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提交时间:2024/02/22
Alzheimer's disease
Neuroimaging biomarker
Multisite
Specific
Longitudinal progression
Explainability analysis of neural network-based turbulence modeling for transonic axial compressor rotor flows
期刊论文
AEROSPACE SCIENCE AND TECHNOLOGY, 2023, 卷号: 141, 页码: 108542
作者:
Wu CT(吴楚畋)
;
Wang SZ(王士召)
;
Zhang XL(张鑫磊)
;
He GW(何国威)
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浏览/下载:14/0
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提交时间:2023/09/26
Explainability
Ensemble Kalman method
Turbulence model
Axial compressor rotor
Neural network
Machine learning
Meta-learning-based estimation of the barrier layer thickness in the tropical Indian Ocean
期刊论文
ENVIRONMENTAL RESEARCH COMMUNICATIONS, 2023, 卷号: 5, 期号: 9, 页码: 8
作者:
Qi, Jifeng
;
Qu, Tangdong
;
Yin, Baoshu
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浏览/下载:3/0
  |  
提交时间:2023/11/30
Ocean barrier layer thickness
Indian Ocean
meta-learning
machine learning
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
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浏览/下载:2/0
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提交时间:2023/11/15
storm surge prediction
machine learning
hybrid methods
physics-informed neural networks
Ensemble Kalman method for learning turbulence models from indirect observation data
期刊论文
JOURNAL OF FLUID MECHANICS, 2022, 卷号: 949
作者:
Zhang XL(张鑫磊)
;
Xiao, Heng
;
Luo, Xiaodong
;
He GW(何国威)
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浏览/下载:17/0
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提交时间:2022/10/23
turbulence modelling
machine learning
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
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浏览/下载:27/0
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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
Decomposition-Based Classifier Chains for Multi-Dimensional Classification
期刊论文
IEEE Transactions on Artificial Intelligence, 2022, 卷号: 3, 期号: 2, 页码: 176-191
作者:
Jia, Bin-Bin
;
Zhang, Min-Ling
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浏览/下载:10/0
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提交时间:2022/07/20
Computer vision
Machine learning
Semantics
Binary classifiers
Class dependency
Classifier chain
Classifier chains
Comparatives studies
Feature space
Multi-class classifier
Multi-dimensional classification
Multiple class
Performance
Forecasting daily tourism volume: a hybrid approach with CEMMDAN and multi-kernel adaptive ensemble
期刊论文
CURRENT ISSUES IN TOURISM, 2022, 页码: 20
作者:
Zhao, Erlong
;
Du, Pei
;
Azaglo, Ernest Young
;
Wang, Shouyang
;
Sun, Shaolong
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  |  
浏览/下载:210/0
  |  
提交时间:2022/04/29
Daily tourism volume forecasting
decomposition ensemble approach
sample entropy
kernel extreme learning machine
multi-kernel adaptive strategy
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