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A high-order diffuse-interface method with TENO-THINC scheme for compressible multiphase flows
期刊论文
INTERNATIONAL JOURNAL OF MULTIPHASE FLOW, 2024, 卷号: 173, 页码: 19
作者:
Li, Qichao
;
Lv, Yu
;
Fu, Lin
收藏
  |  
浏览/下载:5/0
  |  
提交时间:2024/04/02
TENO-THINC
Multi-phase flows
Diffuse-interface model
Low-dissipation schemes
Numerical taxonomy and genus-species identification of Czekanowskiales in China based on machine learning
期刊论文
PALAEONTOLOGIA ELECTRONICA, 2024, 页码: 19
作者:
Zhang, Bo
;
Xin, Cunlin
;
Yang, Dong
;
Jiao, Zhipeng
;
Liu, Songxin
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2024/03/14
Machine learning
Czekanowskiales
numerical taxonomy
fossil identification
Adaptive bias-variance trade-off in advantage estimator for actor-critic algorithms
期刊论文
NEURAL NETWORKS, 2024, 卷号: 169, 页码: 764-777
作者:
Chen, Yurou
;
Zhang, Fengyi
;
Liu, Zhiyong
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2024/02/22
Reinforcement Learning
Policy gradient
Actor-critic
Value function
Bias-variance trade-off
UAV-Assisted Dynamic Avatar Task Migration for Vehicular Metaverse Services: A Multi-Agent Deep Reinforcement Learning Approach
期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 2, 页码: 430-445
作者:
Jiawen Kang
;
Junlong Chen
;
Minrui Xu
;
Zehui Xiong
;
Yutao Jiao
收藏
  |  
浏览/下载:1/0
  |  
提交时间:2024/01/23
Avatar
blockchain
metaverses
multi-agent deep reinforcement learning
transformer
UAVs
Data-Driven Learning Control Algorithms for Unachievable Tracking Problems
期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 1, 页码: 205-218
作者:
Zeyi Zhang
;
Hao Jiang
;
Dong Shen
;
Samer S. Saab
收藏
  |  
浏览/下载:1/0
  |  
提交时间:2024/01/02
Data-driven algorithms
incomplete information
iterative learning control
gradient information
unachievable problems
Isogeometric Convolution Hierarchical Deep-learning Neural Network: Isogeometric analysis with versatile adaptivity
期刊论文
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING, 2023, 卷号: 417, 页码: 46
作者:
Zhang, Lei
;
Park, Chanwook
;
Lu, Ye
;
Li, Hengyang
;
Mojumder, Satyajit
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  |  
浏览/下载:2/0
  |  
提交时间:2024/01/08
Convolution isogeometric analysis (C-IGA)
Convolution hierarchical deep-learning neural network (C-hiDeNN)
Software 2.0
r-h-p-s-a adaptive finite element method (FEM)
High-order smoothness and convergence
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:3/0
  |  
提交时间:2023/11/15
storm surge prediction
machine learning
hybrid methods
physics-informed neural networks
A Data-Driven Iterative Learning Approach for Optimizing the Train Control Strategy
期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2023, 卷号: 19, 期号: 7, 页码: 7885-7893
作者:
Su, Shuai
;
Zhu, Qingyang
;
Liu, Junqing
;
Tang, Tao
;
Wei, Qinglai
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2023/11/17
Deep reinforcement learning (RL)
driving strategy
energy-efficient train control (EETC)
soft actorcritic (SAC)
Recent progress on high-order discontinuous schemes for simulations of multiphase and multicomponent flows
期刊论文
PROGRESS IN AEROSPACE SCIENCES, 2023, 卷号: 140, 页码: 25
作者:
Lv Y(吕钰)
;
Ekaterinaris, John
收藏
  |  
浏览/下载:0/0
  |  
提交时间:2024/02/26
Quantum Implementation of Numerical Methods for Convection-Diffusion Equations: Toward Computational Fluid Dynamics
期刊论文
COMMUNICATIONS IN COMPUTATIONAL PHYSICS, 2, 2023, 卷号: 33, 页码: 425-451
作者:
Liu BF(刘宝峰)
;
Zhu LX(朱力行)
;
Yang ZX(杨子轩)
;
He GW(何国威)
收藏
  |  
浏览/下载:14/0
  |  
提交时间:2023/06/15
Quantum computing
partial differential equations
computational fluid dynamics
finite difference
finite element
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