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浏览/检索结果:
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Ensemble variational method with adaptive covariance inflation for learning neural network-based turbulence models
期刊论文
PHYSICS OF FLUIDS, 2024, 卷号: 36, 期号: 3, 页码: 21
作者:
Luo, Qingyong
;
Zhang, Xin-Lei
;
He, Guowei
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2024/05/14
Exponential Synchronization of Delayed Stochastic Complex Dynamical Networks via Hybrid Impulsive Control
期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 3, 页码: 785-787
作者:
Yao Cui
;
Pei Cheng
;
Xiaohua Ge
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2024/02/19
Autonomous Vehicle Platoons In Urban Road Networks: A Joint Distributed Reinforcement Learning and Model Predictive Control Approach
期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 1, 页码: 141-156
作者:
Luigi D’Alfonso
;
Francesco Giannini
;
Giuseppe Franzè
;
Giuseppe Fedele
;
Francesco Pupo
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2024/01/02
Distributed model predictive control
distributed reinforcement learning
routing decisions
urban road networks
Estimation of the barrier layer thickness in the Indian Ocean based on hybrid neural network model
期刊论文
DEEP-SEA RESEARCH PART I-OCEANOGRAPHIC RESEARCH PAPERS, 2023, 卷号: 202, 页码: 14
作者:
Zhao, Yizhi
;
Qi, Jifeng
;
Zhu, Shanliang
;
Jia, Wentao
;
Gong, Xiang
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  |  
浏览/下载:1/0
  |  
提交时间:2024/04/07
Barrier layer thickness
Particle swarm optimization
Artificial neural networks
Hybrid models
An efficient particle swarm optimization with evolutionary multitasking for stochastic area coverage of heterogeneous sensors
期刊论文
INFORMATION SCIENCES, 2023, 卷号: 645, 页码: 22
作者:
Ding, Shuxin
;
Zhang, Tao
;
Chen, Chen
;
Lv, Yisheng
;
Xin, Bin
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  |  
浏览/下载:6/0
  |  
提交时间:2023/11/17
Wireless sensor networks
Stochastic area coverage
Conditional value-at-risk
Co-evolutionary particle swarm optimization
Adaptive perturbation
Evolutionary multitasking
Predicting continuum breakdown with deep neural networks
期刊论文
JOURNAL OF COMPUTATIONAL PHYSICS, 2023, 卷号: 489, 页码: 112278
作者:
Xiao TB(肖天白)
;
Schotthoefer, Steffen
;
Frank, Martin
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  |  
浏览/下载:14/0
  |  
提交时间:2023/09/05
Computational fluid dynamics
Kinetic theory
Boltzmann equation
Multi-scale method
Deep 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:3/0
  |  
提交时间:2023/11/15
storm surge prediction
machine learning
hybrid methods
physics-informed neural networks
SMIN: Semi-Supervised Multi-Modal Interaction Network for Conversational Emotion Recognition
期刊论文
IEEE TRANSACTIONS ON AFFECTIVE COMPUTING, 2023, 卷号: 14, 期号: 3, 页码: 2415-2429
作者:
Lian, Zheng
;
Liu, Bin
;
Tao, Jianhua
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  |  
浏览/下载:2/0
  |  
提交时间:2023/11/15
Emotion recognition
Feature extraction
Training
Acoustics
Semisupervised learning
Benchmark testing
Hidden Markov models
Semi-supervised multi-modal interaction network (SMIN)
conversational emotion recognition
semi-supervised learning
intra-modal interaction
cross-modal interaction
Multiscale pore-fracture hybrid pore network modeling for drainage in tight carbonate
期刊论文
ADVANCES IN WATER RESOURCES, 2023, 卷号: 174, 页码: 104420
作者:
Xu ZP(徐志朋)
;
Lin M(林缅)
;
Ji LL(姬莉莉)
;
Jiang WB(江文滨)
;
Cao GH(曹高辉)
收藏
  |  
浏览/下载:11/0
  |  
提交时间:2023/06/15
Multiscale pores
Fractures
Multiscale hybrid pore network modeling
Two-phase flow
Tight carbonate
A Hybrid Ensemble Deep Learning Approach for Early Prediction of Battery Remaining Useful Life
期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 1, 页码: 177-187
作者:
Qing Xu
;
Min Wu
;
Edwin Khoo
;
Zhenghua Chen
;
Xiaoli Li
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  |  
浏览/下载:26/0
  |  
提交时间:2023/01/03
Deep learning
early prediction
lithium-ion battery
remaining useful life (RUL)
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