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The influence of magnetic field parameters and time step on deep learning models of solar flare prediction
期刊论文
ASTROPHYSICS AND SPACE SCIENCE, 2024, 卷号: 369, 期号: 5
作者:
Wei, Jinfang
;
Zheng, Yanfang
;
Li, Xuebao
;
Xiang, Changtian
;
Yan, Pengchao
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提交时间:2024/05/27
Methods: data analysis
Techniques: image processing
Sun: activity
Sun: flares
Sun: magnetic fields
Machine-Learning-Based Prediction Modeling for Debris Flow Occurrence: A Meta-Analysis
期刊论文
WATER, 2024, 卷号: 16, 期号: 7, 页码: 22
作者:
Yang, Lianbing
;
Ge, Yonggang
;
Chen, Baili
;
Wu, Yuhong
;
Fu, Runde
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浏览/下载:0/0
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提交时间:2024/05/15
machine learning
debris flow
occurrence
prediction
meta-analysis
Elevation-dependent pattern of net CO
2
uptake across China
期刊论文
NATURE COMMUNICATIONS, 2024, 卷号: 15, 期号: 1, 页码: 10
作者:
Wei, Da
;
Tao, Jing
;
Wang, Zhuangzhuang
;
Zhao, Hui
;
Zhao, Wei
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浏览/下载:0/0
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提交时间:2024/05/06
无
Minute-cadence obser v ations of the LAMOST Fields with the TMTS–V. Machine learning classification of TMTS catalogues of periodic variable stars
期刊论文
Monthly Notices of the Royal Astronomical Society, 2024, 卷号: 528, 期号: 4, 页码: 6997-7015
作者:
Guo, Fangzhou
;
Lin, Jie
;
Wang, Xiaofeng
;
Chen, Xiaodian
;
Li, Tanda
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浏览/下载:3/0
  |  
提交时间:2024/03/29
surveys
binaries: eclipsing
stars: oscillations (including pulsations)
stars: variables: Scuti
Minute-cadence observations of the LAMOST Fields with the TMTS - V. Machine learning classification of TMTS catalogues of periodic variable stars
期刊论文
MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY, 2024, 卷号: 528, 期号: 4, 页码: 6997-7015
作者:
Guo, Fangzhou
;
Lin, Jie
;
Wang, Xiaofeng
;
Chen, Xiaodian
;
Li, Tanda
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  |  
浏览/下载:1/0
  |  
提交时间:2024/05/06
surveys
binaries: eclipsing
stars: oscillations (including pulsations)
stars: variables: Scuti
Risk Assessment and Analysis of Its Influencing Factors of Debris Flows in Typical Arid Mountain Environment: A Case Study of Central Tien Shan Mountains, China
期刊论文
REMOTE SENSING, 2023, 卷号: 15, 期号: 24, 页码: 22
作者:
Li, Zhi
;
Wu, Mingyang
;
Chen, Ningsheng
;
Hou, Runing
;
Tian, Shufeng
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提交时间:2024/03/14
Tien Shan Mountain
debris flow
risk analysis
machine learning
Estimation of grassland aboveground biomass and its response to climate changes based on remote sensing inversion in Three-River-Source National Park, Tibet Plateau, China
期刊论文
FRONTIERS IN ECOLOGY AND EVOLUTION, 2023, 卷号: 11, 页码: 14
作者:
He, Hui
;
Yu, Hui
;
Rong, Ziwei
;
Yang, Yan
;
Li, Pengshang
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浏览/下载:0/0
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提交时间:2024/03/05
climate change
grassland AGB
machine learning
model evaluation
remote sensing inversion
Three-River-Source National Park
Adaptive structure evolution and biologically plausible synaptic plasticity for recurrent spiking neural networks
期刊论文
SCIENTIFIC REPORTS, 2023, 卷号: 13, 期号: 1, 页码: 13
作者:
Pan, Wenxuan
;
Zhao, Feifei
;
Zeng, Yi
;
Han, Bing
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  |  
浏览/下载:2/0
  |  
提交时间:2023/12/21
Could climate change exacerbate droughts in Bangladesh in the future?
期刊论文
JOURNAL OF HYDROLOGY, 2023, 卷号: 625, 页码: 18
作者:
Rahman, Mahfuzur
;
Tumon, Md Sakib Hasan
;
Islam, Md Monirul
;
Chen, Ningsheng
;
Pham, Quoc Bao
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  |  
浏览/下载:0/0
  |  
提交时间:2024/03/05
Coupled model intercomparison project 6
Drought
Genetic algorithm
Multilayer perceptron
Artificial neural network
Bangladesh
RelaxNet: A structure-preserving neural network to approximate the Boltzmann collision operator
期刊论文
JOURNAL OF COMPUTATIONAL PHYSICS, 2023, 卷号: 490, 页码: 112317
作者:
Xiao TB(肖天白)
;
Frank, Martin
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浏览/下载:14/0
  |  
提交时间:2023/09/05
Kinetic theory
Computational fluid dynamics
Scientific machine learning
Artificial neural network
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