Nonlinear Non-Gaussian and Multimode Process Monitoring-Based Multi-Subspace Vine Copula and Deep Neural Network

2020 ◽  
Vol 59 (32) ◽  
pp. 14385-14397
Author(s):  
Yang Zhou ◽  
Xiang Ren ◽  
Shaojun Li
Keyword(s):  
Neural Network ◽  
Process Monitoring ◽  
Deep Neural Network ◽  
Non Gaussian ◽  
Vine Copula

scholarly journals Turning Process Monitoring with Deep Neural Network Trained by FEM Simulation

Procedia CIRP ◽  
2021 ◽  
Vol 104 ◽  
pp. 376-380
Author(s):  
Takashi Misaka ◽  
Jonny Herwan ◽  
Ichiro Ogura ◽  
Yoshiyuki Furukawa
Keyword(s):  
Neural Network ◽  
Process Monitoring ◽  
Deep Neural Network ◽  
Fem Simulation ◽  
Turning Process

scholarly journals Predictive Business Process Monitoring – Remaining Time Prediction using Deep Neural Network with Entity Embedding

2019 ◽  
Vol 161 ◽  
pp. 1080-1088
Author(s):  
Nur Ahmad Wahid ◽  
Taufik Nur Adi ◽  
Hyerim Bae ◽  
Yulim Choi
Keyword(s):  
Neural Network ◽  
Process Monitoring ◽  
Business Process ◽  
Deep Neural Network ◽  
Time Prediction ◽  
Business Process Monitoring ◽  
Remaining Time

Nonlinear and Non-Gaussian Process Monitoring Based on Simplified R-Vine Copula

2018 ◽  
Vol 57 (22) ◽  
pp. 7566-7582 ◽  
Author(s):  
Nan Zhou ◽  
Shaojun Li
Keyword(s):  
Gaussian Process ◽  
Process Monitoring ◽  
Non Gaussian ◽  
Vine Copula

Deep neural network based recursive feature learning for nonlinear dynamic process monitoring

2019 ◽  
Vol 98 (4) ◽  
pp. 919-933 ◽  
Author(s):  
Jiazhen Zhu ◽  
Hongbo Shi ◽  
Bing Song ◽  
Shuai Tan ◽  
Yang Tao
Keyword(s):  
Neural Network ◽  
Process Monitoring ◽  
Dynamic Process ◽  
Nonlinear Dynamic ◽  
Deep Neural Network ◽  
Feature Learning

Study on Human Detection System Using Deep Neural Network and Alternative Learning for Autonomous Flying Drones

2019 ◽  
Vol 139 (2) ◽  
pp. 149-157
Author(s):  
Itaru Nagayama ◽  
Wakaki Uehara ◽  
Takaya Miyazato
Keyword(s):  
Neural Network ◽  
Deep Neural Network ◽  
Detection System ◽  
Human Detection ◽  
Alternative Learning
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