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Applying Bayesian Belief Networks to Assess Alpine Grassland Degradation Risks: A Case Study in Northwest Sichuan, China
期刊论文
FRONTIERS IN PLANT SCIENCE, 2021, 卷号: 12, 页码: 16
作者:
Zhou, Shuang
;
Peng, Li
收藏
  |  
浏览/下载:57/0
  |  
提交时间:2022/01/14
Bayesian belief networks
alpine grassland degradation
frequency ratio model
NDVI
risk assessment
A new oil spill detection algorithm based on Dempster-Shafer evidence theory
期刊论文
JOURNAL OF OCEANOLOGY AND LIMNOLOGY, 2021, 页码: 14
作者:
Zhang, Tianlong
;
Guo, Jie
;
Xu, Chenqi
;
Zhang, Xi
;
Wang, Chuanyuan
收藏
  |  
浏览/下载:21/0
  |  
提交时间:2021/11/09
synthetic aperture radar (SAR) data
oil spill detection
subjective Bayesian
Faster-region convolutional neural networks (RCNN)
Dempster-Shafer evidence theory
Fault detection algorithm of batch process based on improved neighborhood preserving embedding-independent component analysis
期刊论文
Jisuanji Jicheng Zhizao Xitong/Computer Integrated Manufacturing Systems, CIMS, 2021, 卷号: 27, 期号: 4, 页码: 1062-1071
作者:
Zhao, Xiaoqiang
;
Yao, Hongjuan
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  |  
浏览/下载:5/0
  |  
提交时间:2022/02/17
Batch data processing
Bayesian networks
Embeddings
Gaussian distribution
Gaussian noise (electronic)
Independent component analysis
Inference engines
Signal detection
Bayesian inference
Detection effect
Fault detection algorithm
Local information
Mixed distribution
Neighborhood preserving embedding
Non-Gaussian informations
Penicillin production
Bayesian Importance Measures for Network Edges Under Saturated Lagrangian Poisson Failures
期刊论文
IEEE TRANSACTIONS ON RELIABILITY, 2021, 卷号: 70, 期号: 1, 页码: 110-120
作者:
Du, Yongjun
;
Si, Shubin
;
Cai, Zhiqiang
;
Jin, Tongdan
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  |  
浏览/下载:6/0
  |  
提交时间:2021/04/12
Bayesian importance measure (BIM)
C-spectrum
D-spectrum
K-terminal networks
saturated Lagrangian Poisson distribution (SLPD)
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
A failure probability evaluation method for collapse of drill-and-blast tunnels based on multistate fuzzy Bayesian network
期刊论文
ENGINEERING GEOLOGY, 2020, 卷号: 276, 页码: 16
作者:
Zhang, Guo-Hua
;
Chen, Wu
;
Jiao, Yu-Yong
;
Wang, Hao
;
Wang, Cheng-Tang
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  |  
浏览/下载:12/0
  |  
提交时间:2021/05/25
Tunnel
Drill-and-blast method
Collapse
Failure probability evaluation
Multistate fuzzy Bayesian networks
A novel background subtraction algorithm based on parallel vision and Bayesian GANs
期刊论文
NEUROCOMPUTING, 2020, 卷号: 394, 页码: 178-200
作者:
Zheng, Wenbo
;
Wang, Kunfeng
;
Wang, Fei-Yue
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  |  
浏览/下载:16/0
  |  
提交时间:2020/06/22
Background subtraction
Background model
Bayesian generative adversarial network
Convolutional neural networks
Parallel vision
An Animal Behavior State Estimation Method Using CCNN and BN Based System
会议论文
Beijing, China, May 22, 2020 - May 24, 2020
作者:
Li, Rui
;
Ren, Yu
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  |  
浏览/下载:13/0
  |  
提交时间:2020/11/15
Animals
Bayesian networks
Convolution
Ecology
Software engineering
Convolutional networks
Ecological protection
Estimation methods
Feature detection
Feature location
Hierarchical structures
Overall accuracies
State estimation methods
Variational Inference Based Kernel Dynamic Bayesian Networks for Construction of Prediction Intervals for Industrial Time Series With Incomplete Input
期刊论文
IEEE/CAA Journal of Automatica Sinica, 2020, 卷号: 7, 期号: 5, 页码: 1429-1437
作者:
Long Chen
;
Linqing Wang
;
Zhongyang Han
;
Jun Zhao
;
Wei Wang
收藏
  |  
浏览/下载:14/0
  |  
提交时间:2021/03/11
Industrial time series
kernel dynamic Bayesian networks (KDBN)
prediction intervals (PIs)
variational inference
A Smart Forwarding Scheme for the Interest Packet in VNDN
会议论文
Chongqing, China, December 13, 2019 - December 15, 2019
作者:
Guo, Xian
;
Chen, Yuxi
;
Cao, Laichen
;
Zhang, Di
;
Jiang, Yongbo
收藏
  |  
浏览/下载:8/0
  |  
提交时间:2020/11/15
Floods
Storms
Vehicles
Bayesian decision
Broadcast storm problem
Forwarding strategies
In-vehicle networks
Named data networks
Network condition
Network operations
Satisfaction rates
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