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Epileptic Seizure Prediction Based on Multivariate Statistical Process Control of Heart Rate Variability Features
Epileptic Seizure Prediction Based on Multivariate Statistical Process Control of Heart Rate Variability Features
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Epileptic Seizure Prediction Based on Multivariate Statistical Process Control of Heart Rate Variability Features

Fujiwara, Koichi ; Miyajima, Miho ; Yamakawa, Toshitaka ; Abe, Erika ; Suzuki, Yoko ; Sawada, Yuriko ; Kano, Manabu ; Maehara, Taketoshi ; Ohta, Katsuya ; Sasai-Sakuma, Taeko ; Sasano, Tetsuo ; Matsuura, Masato ; Matsushima, Eisuke

IEEE transactions on biomedical engineering, 2016-06, Vol.63 (6), p.1321-1332 [Periódico revisado por pares]

United States: IEEE

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2
On Average Performance and Stability of Economic Model Predictive Control
On Average Performance and Stability of Economic Model Predictive Control
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On Average Performance and Stability of Economic Model Predictive Control

Angeli, D. ; Amrit, R. ; Rawlings, J. B.

IEEE transactions on automatic control, 2012-07, Vol.57 (7), p.1615-1626 [Periódico revisado por pares]

New York, NY: IEEE

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3
Additive manufacturing of ultrafine-grained high-strength titanium alloys
Additive manufacturing of ultrafine-grained high-strength titanium alloys
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Additive manufacturing of ultrafine-grained high-strength titanium alloys

Zhang, Duyao ; Qiu, Dong ; Gibson, Mark A ; Zheng, Yufeng ; Fraser, Hamish L ; StJohn, David H ; Easton, Mark A

Nature (London), 2019-12, Vol.576 (7785), p.91-95 [Periódico revisado por pares]

England: Nature Publishing Group

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4
An adaptive prediction approach for rolling bearing remaining useful life based on multistage model with three-source variability
An adaptive prediction approach for rolling bearing remaining useful life based on multistage model with three-source variability
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An adaptive prediction approach for rolling bearing remaining useful life based on multistage model with three-source variability

Liu, Shujie ; Fan, Lexian

Reliability engineering & system safety, 2022-02, Vol.218, p.108182, Article 108182 [Periódico revisado por pares]

Barking: Elsevier Ltd

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5
MPC-Based Process Control of Deep Drawing: An Industry 4.0 Case Study in Automotive
MPC-Based Process Control of Deep Drawing: An Industry 4.0 Case Study in Automotive
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MPC-Based Process Control of Deep Drawing: An Industry 4.0 Case Study in Automotive

Cavone, Graziana ; Bozza, Augusto ; Carli, Raffaele ; Dotoli, Mariagrazia

IEEE transactions on automation science and engineering, 2022-07, Vol.19 (3), p.1586-1598

New York: IEEE

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6
Heart Rate Variability-Based Driver Drowsiness Detection and Its Validation With EEG
Heart Rate Variability-Based Driver Drowsiness Detection and Its Validation With EEG
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Heart Rate Variability-Based Driver Drowsiness Detection and Its Validation With EEG

Fujiwara, Koichi ; Masuda, Fumi ; Matsuo, Masahiro ; Kadotani, Hiroshi ; Abe, Erika ; Kamata, Keisuke ; Nakayama, Chikao ; Suzuki, Yoko ; Yamakawa, Toshitaka ; Hiraoka, Toshihiro ; Kano, Manabu ; Sumi, Yukiyoshi

IEEE transactions on biomedical engineering, 2019-06, Vol.66 (6), p.1769-1778 [Periódico revisado por pares]

United States: IEEE

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7
Optimal control to handle variations in moisture content and reactor in-feed rate
Optimal control to handle variations in moisture content and reactor in-feed rate
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Optimal control to handle variations in moisture content and reactor in-feed rate

Kucuksayacigil, Fikri ; Roni, Mohammad ; Eksioglu, Sandra D. ; Bhuiyan, Tanveer H. ; Chen, Qiushi

Energy (Oxford), 2022-06, Vol.248, p.123650, Article 123650 [Periódico revisado por pares]

Oxford: Elsevier Ltd

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8
Model-Free Adaptive Iterative Learning Control Method for the Czochralski Silicon Monocrystalline Batch Process
Model-Free Adaptive Iterative Learning Control Method for the Czochralski Silicon Monocrystalline Batch Process
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Model-Free Adaptive Iterative Learning Control Method for the Czochralski Silicon Monocrystalline Batch Process

Ren, Jun-Chao ; Liu, Ding ; Wan, Yin

IEEE transactions on semiconductor manufacturing, 2021-08, Vol.34 (3), p.398-407 [Periódico revisado por pares]

New York: IEEE

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9
Blockchained smart contract pyramid-driven multi-agent autonomous process control for resilient individualised manufacturing towards Industry 5.0
Blockchained smart contract pyramid-driven multi-agent autonomous process control for resilient individualised manufacturing towards Industry 5.0
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Blockchained smart contract pyramid-driven multi-agent autonomous process control for resilient individualised manufacturing towards Industry 5.0

Leng, Jiewu ; Sha, Weinan ; Lin, Zisheng ; Jing, Jianbo ; Liu, Qiang ; Chen, Xin

International journal of production research, 2023-07, Vol.61 (13), p.4302-4321 [Periódico revisado por pares]

London: Taylor & Francis

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10
A smart process controller framework for Industry 4.0 settings
A smart process controller framework for Industry 4.0 settings
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A smart process controller framework for Industry 4.0 settings

Cohen, Yuval ; Singer, Gonen

Journal of intelligent manufacturing, 2021-10, Vol.32 (7), p.1975-1995 [Periódico revisado por pares]

New York: Springer US

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