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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
收藏
  |  
浏览/下载:0/0
  |  
提交时间:2024/05/15
machine learning
debris flow
occurrence
prediction
meta-analysis
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
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  |  
浏览/下载:0/0
  |  
提交时间:2024/04/19
deep learning
landslide
dynamic process
Fourier neural operator
data-driven method
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:3/0
  |  
提交时间:2023/11/15
storm surge prediction
machine learning
hybrid methods
physics-informed neural networks
Robust Monitor for Industrial IoT Condition Prediction
期刊论文
IEEE INTERNET OF THINGS JOURNAL, 2023, 卷号: 10, 期号: 10, 页码: 8618-8629
作者:
Zhang, Xingwei
;
Tian, Hu
;
Zheng, Xiaolong
;
Zeng, Daniel Dajun
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  |  
浏览/下载:6/0
  |  
提交时间:2023/11/17
Perturbation methods
Monitoring
Industrial Internet of Things
Training
Predictive models
Robustness
Temperature sensors
Adversarial perturbation
adversarial training
Industrial Internet of Things (IIoT)
machine learning (ML)
temporal convolutional network (TCN)
Machine Learning Methods in Solving the Boolean Satisfiability Problem
期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 5, 页码: 640-655
作者:
Wenxuan Guo
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浏览/下载:0/0
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提交时间:2023/09/25
Machine learning (ML), Boolean satisfiability (SAT), deep learning, graph neural networks (GNNs), combinatorial optimization
Machine Learning With Data Assimilation and Uncertainty Quantification for Dynamical Systems: A Review
期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 6, 页码: 1361-1387
作者:
Sibo Cheng
;
César Quilodrán-Casas
;
Said Ouala
;
Alban Farchi
;
Che Liu
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  |  
浏览/下载:12/0
  |  
提交时间:2023/05/29
Data assimilation (DA)
deep learning
machine learning (ML)
reduced-order-modelling
uncertainty quantification (UQ)
Effective Model Compression via Stage-wise Pruning
期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 6, 页码: 937-951
作者:
Ming-Yang Zhang, Xin-Yi Yu, Lin-Lin Ou
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浏览/下载:0/0
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提交时间:2023/11/23
Automated machine learning (AutoML), channel pruning, model compression, distillation, convolutional neural networks (CNN)
Perspectives of Machine Learning Development on Kerogen Molecular Model Reconstruction and Shale Oil/Gas Exploitation
期刊论文
ENERGY & FUELS, 2022, 页码: 20
作者:
Kang DL(康东亮)
;
Ma J(马骏)
;
Zhao YP(赵亚溥)
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  |  
浏览/下载:19/0
  |  
提交时间:2023/02/03
Machine-learning-based monitoring and optimization of processing parameters in 3D printing
期刊论文
INTERNATIONAL JOURNAL OF COMPUTER INTEGRATED MANUFACTURING, 2022, 页码: 17
作者:
Tamir, Tariku Sinshaw
;
Xiong, Gang
;
Fang, Qihang
;
Yang, Yong
;
Shen, Zhen
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  |  
浏览/下载:20/0
  |  
提交时间:2023/01/09
Additive manufacturing
closed-loop
3D printing
digital manufacturing
machine learning
processing parameters
Galaxy morphoto-Z with neural Networks (GaZNets) I. Optimized accuracy and outlier fraction from imaging and photometry
期刊论文
ASTRONOMY & ASTROPHYSICS, 2022, 卷号: 666
作者:
Li, Rui
;
Napolitano, Nicola R.
;
Feng HC(封海成)
;
Li, Ran
;
Amaro, Valeria
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  |  
浏览/下载:19/0
  |  
提交时间:2022/10/31
surveys
galaxies: general
techniques: photometric
galaxies: photometry
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