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武汉大学 [19]
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Design and Analysis of a Human-Machine Interaction System for Researching Human's Dynamic Emotion
期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2021, 卷号: 51, 期号: 10, 页码: 6111-6121
作者:
Sun, Xiao
;
Pei, Zhengmeng
;
Zhang, Chen
;
Li, Guoqiang
;
Tao, Jianhua
收藏
  |  
浏览/下载:49/0
  |  
提交时间:2021/11/04
Heuristic algorithms
Hidden Markov models
Robots
Sun
Vehicle dynamics
Task analysis
Deep learning
Emotional guidance
emotional transfer
human-machine interaction
Markov chain Monte Carlo
Updating the models and uncertainty of mechanical parameters for rock tunnels using Bayesian inference
期刊论文
GEOSCIENCE FRONTIERS, 2021, 卷号: 12, 期号: 5, 页码: 13
作者:
Zhao, Hongbo
;
Chen, Bingrui
;
Li, Shaojun
;
Li, Zhen
;
Zhu, Changxing
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  |  
浏览/下载:18/0
  |  
提交时间:2021/10/27
Rock tunnel engineering
Back analysis
Bayesian inference
Uncertainty analysis
Markov chain Monte Carlo simulation
Experimental warming shifts coupling of carbon and nitrogen cycles in an alpine meadow
期刊论文
JOURNAL OF PLANT ECOLOGY, 2021, 卷号: 14, 期号: 3, 页码: 541-554
作者:
Wang, Song
;
Quan, Quan
;
Meng, Cheng
;
Chen, Weinan
;
Luo, Yiqi
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  |  
浏览/下载:61/0
  |  
提交时间:2021/08/19
Bayesian probabilistic inversion
Markov-Chain Monte-Carlo (MCMC)
warming
carbon and nitrogen cycles
stoichiometry
alpine meadow
Applying Knowledge Inference on Event-Conjunction for Automatic Control in Smart Building
期刊论文
APPLIED SCIENCES-BASEL, 2021, 卷号: 11, 期号: 3, 页码: 17
作者:
Ge, Hangli
;
Peng, Xiaohui
;
Koshizuka, Noboru
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浏览/下载:23/0
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提交时间:2021/12/01
smart building
Internet of Things (IoT)
Markov Chain Monte Carlo (MCMC)
ontology
graph model
AN ACCELERATION STRATEGY FOR RANDOMIZE-THEN-OPTIMIZE SAMPLING VIA DEEP NEURAL NETWORKS*
期刊论文
JOURNAL OF COMPUTATIONAL MATHEMATICS, 2021, 卷号: 39, 期号: 6, 页码: 848-864
作者:
Yan, Liang
;
Zhou, Tao
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  |  
浏览/下载:2/0
  |  
提交时间:2022/04/02
Bayesian inverse problems
Deep neural network
Markov chain Monte Carlo
An Adaptive Surrogate Modeling Based on Deep Neural Networks for Large-Scale Bayesian Inverse Problems
期刊论文
COMMUNICATIONS IN COMPUTATIONAL PHYSICS, 2020, 卷号: 28, 期号: 5, 页码: 2180-2205
作者:
Yan, Liang
;
Zhou, Tao
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浏览/下载:59/0
  |  
提交时间:2021/01/14
Bayesian inverse problems
deep neural networks
multi-fidelity surrogate modeling
Markov chain Monte Carlo
Sensitivity and Uncertainty Analyses of Flux-based Ecosystem Model towards Improvement of Forest GPP Simulation
期刊论文
SUSTAINABILITY, 2020, 卷号: 12, 期号: 7, 页码: 18
作者:
Ma, Hanqing
;
Ma, Chunfeng
;
Li, Xin
;
Yuan, Wenping
;
Liu, Zhengjia
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浏览/下载:16/0
  |  
提交时间:2021/03/23
sensitivity analysis
flux-based ecosystem model
extended Fourier amplitude sensitivity test (EFAST)
Howland forest
Markov chain Monte Carlo
A novel inversion approach for fracture parameters and inflow rates diagnosis in multistage fractured horizontal wells
期刊论文
JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING, 2020, 卷号: 184, 页码: 13
作者:
Luo, Hongwen
;
Li, Haitao
;
Tan, Yongsheng
;
Li, Ying
;
Jiang, Beibei
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  |  
浏览/下载:21/0
  |  
提交时间:2021/05/25
Inversion model
Distributed temperature sensing
Fracture parameters
Inflow rates
Markov Chain Monte Carlo
Multistage fractured horizontal well
Phosphorus mitigation remains critical in water protection: A review and meta-analysis from one of China's most eutrophicated lakes
期刊论文
SCIENCE OF THE TOTAL ENVIRONMENT, 2019, 卷号: 689, 页码: 1336-1347
作者:
Yan, Kai
;
Yuan, Zengwei
;
Goldberg, Stefanie
;
Gao, Wei
;
Ostermann, Anne
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  |  
浏览/下载:86/0
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提交时间:2019/10/28
Lake Dianchi
Phosphorus budget
Markov chain Monte Carlo simulation
Bayesian hierarchical model
Watershed management
Geological phosphorus-rich mountains
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