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Refinado por: assunto: Maschinelles Lernen remover Iop Conference Series. Materials Science And Engineering remover
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Smart manufacturing control system based on deep reinforcement learning
Smart manufacturing control system based on deep reinforcement learning
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Smart manufacturing control system based on deep reinforcement learning

Nikolaev, E I ; Zakharova, N I ; Zakharov, V V

IOP conference series. Materials Science and Engineering, 2021-06, Vol.1155 (1), p.12061 [Periódico revisado por pares]

Bristol: IOP Publishing

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2
Parametric Shape Optimization of Stretch Webs in a Progressive Die Process using a Neural Network Surrogate Model
Parametric Shape Optimization of Stretch Webs in a Progressive Die Process using a Neural Network Surrogate Model
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Parametric Shape Optimization of Stretch Webs in a Progressive Die Process using a Neural Network Surrogate Model

Athreya, S ; Weinschenk, A ; Steinlehner, F ; Budnick, D ; Worswick, M ; Volk, W. ; Huhn, S.

IOP conference series. Materials Science and Engineering, 2021-06, Vol.1157 (1), p.12081 [Periódico revisado por pares]

Bristol: IOP Publishing

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3
Simulation of Dynamic Effects in Progressive Die Operation and Control
Simulation of Dynamic Effects in Progressive Die Operation and Control
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Simulation of Dynamic Effects in Progressive Die Operation and Control

Budnick, D. ; Steinlehner, F. ; Weinschenk, A. ; Volk, W. ; Melek, W. ; Worswick, M. ; Huhn, S.

IOP conference series. Materials Science and Engineering, 2021-06, Vol.1157 (1), p.12085 [Periódico revisado por pares]

Bristol: IOP Publishing

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4
Choosing a statistical method for predicting a quantitative indicator
Choosing a statistical method for predicting a quantitative indicator
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Choosing a statistical method for predicting a quantitative indicator

Vlasov, R G ; Korobov, Yu S

IOP conference series. Materials Science and Engineering, 2021-06, Vol.1155 (1), p.12031 [Periódico revisado por pares]

Bristol: IOP Publishing

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5
Towards an adaptable quality monitoring process for self-piercing riveting
Towards an adaptable quality monitoring process for self-piercing riveting
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Towards an adaptable quality monitoring process for self-piercing riveting

Noller, Vanessa ; Walther, Ulrich ; Meschut, Gerson ; Bäck, Thomas

IOP conference series. Materials Science and Engineering, 2021-06, Vol.1157 (1), p.12001 [Periódico revisado por pares]

Bristol: IOP Publishing

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6
Supervised learning vs. unsupervised learning: A comparison for optical inspection applications in quality control
Supervised learning vs. unsupervised learning: A comparison for optical inspection applications in quality control
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Supervised learning vs. unsupervised learning: A comparison for optical inspection applications in quality control

Lehr, J ; Philipps, J ; Hoang, V Nguyen ; Wrangel, D von ; Krüger, J

IOP conference series. Materials Science and Engineering, 2021-05, Vol.1140 (1), p.12049 [Periódico revisado por pares]

Bristol: IOP Publishing

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7
Comparative analysis of machine learning techniques based on chronic kidney disease dataset
Comparative analysis of machine learning techniques based on chronic kidney disease dataset
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Comparative analysis of machine learning techniques based on chronic kidney disease dataset

Gulati, Vineeta ; Raheja, Neeraj

IOP conference series. Materials Science and Engineering, 2021-04, Vol.1131 (1), p.12010 [Periódico revisado por pares]

Bristol: IOP Publishing

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8
Bitcoin Price Alert and Prediction System using various Models
Bitcoin Price Alert and Prediction System using various Models
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Bitcoin Price Alert and Prediction System using various Models

Shankhdhar, Ashutosh ; Singh, Akhilesh Kumar ; Naugraiya, Suryansh ; Saini, Prathmesh Kumar

IOP conference series. Materials Science and Engineering, 2021-04, Vol.1131 (1), p.12009 [Periódico revisado por pares]

Bristol: IOP Publishing

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9
A Comparative Study of Various Human Activity Recognition Approaches
A Comparative Study of Various Human Activity Recognition Approaches
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A Comparative Study of Various Human Activity Recognition Approaches

Goel, Dhruv ; Pradhan, Rahul

IOP conference series. Materials Science and Engineering, 2021-04, Vol.1131 (1), p.12004 [Periódico revisado por pares]

Bristol: IOP Publishing

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10
Machine Learning techniques for Cardiovascular Disease
Machine Learning techniques for Cardiovascular Disease
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Machine Learning techniques for Cardiovascular Disease

Tripathi, Kshitij ; Garg, Hitendra

IOP conference series. Materials Science and Engineering, 2021-04, Vol.1116 (1), p.12140 [Periódico revisado por pares]

Bristol: IOP Publishing

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