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A state-of-the-art survey of Digital Twin: techniques, engineering product lifecycle management and business innovation perspectives
A state-of-the-art survey of Digital Twin: techniques, engineering product lifecycle management and business innovation perspectives
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A state-of-the-art survey of Digital Twin: techniques, engineering product lifecycle management and business innovation perspectives

Lim, Kendrik Yan Hong ; Zheng, Pai ; Chen, Chun-Hsien

Journal of intelligent manufacturing, 2020-08, Vol.31 (6), p.1313-1337 [Periódico revisado por pares]

New York: Springer US

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Machine learning applied in production planning and control: a state-of-the-art in the era of industry 4.0
Machine learning applied in production planning and control: a state-of-the-art in the era of industry 4.0
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Machine learning applied in production planning and control: a state-of-the-art in the era of industry 4.0

Usuga Cadavid, Juan Pablo ; Lamouri, Samir ; Grabot, Bernard ; Pellerin, Robert ; Fortin, Arnaud

Journal of intelligent manufacturing, 2020-08, Vol.31 (6), p.1531-1558 [Periódico revisado por pares]

New York: Springer US

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Machine learning integrated design for additive manufacturing
Machine learning integrated design for additive manufacturing
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Machine learning integrated design for additive manufacturing

Jiang, Jingchao ; Xiong, Yi ; Zhang, Zhiyuan ; Rosen, David W.

Journal of intelligent manufacturing, 2022-04, Vol.33 (4), p.1073-1086 [Periódico revisado por pares]

New York: Springer US

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4
Bearing fault diagnosis base on multi-scale CNN and LSTM model
Bearing fault diagnosis base on multi-scale CNN and LSTM model
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Bearing fault diagnosis base on multi-scale CNN and LSTM model

Chen, Xiaohan ; Zhang, Beike ; Gao, Dong

Journal of intelligent manufacturing, 2021-04, Vol.32 (4), p.971-987 [Periódico revisado por pares]

New York: Springer US

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5
An effective and distributed particle swarm optimization algorithm for flexible job-shop scheduling problem
An effective and distributed particle swarm optimization algorithm for flexible job-shop scheduling problem
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An effective and distributed particle swarm optimization algorithm for flexible job-shop scheduling problem

Nouiri, Maroua ; Bekrar, Abdelghani ; Jemai, Abderezak ; Niar, Smail ; Ammari, Ahmed Chiheb

Journal of intelligent manufacturing, 2018-03, Vol.29 (3), p.603-615 [Periódico revisado por pares]

New York: Springer US

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6
A novel differential evolution algorithm for solving constrained engineering optimization problems
A novel differential evolution algorithm for solving constrained engineering optimization problems
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A novel differential evolution algorithm for solving constrained engineering optimization problems

Mohamed, Ali Wagdy

Journal of intelligent manufacturing, 2018-03, Vol.29 (3), p.659-692 [Periódico revisado por pares]

New York: Springer US

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7
Quality 4.0: a review of big data challenges in manufacturing
Quality 4.0: a review of big data challenges in manufacturing
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Quality 4.0: a review of big data challenges in manufacturing

Escobar, Carlos A. ; McGovern, Megan E. ; Morales-Menendez, Ruben

Journal of intelligent manufacturing, 2021-12, Vol.32 (8), p.2319-2334 [Periódico revisado por pares]

New York: Springer US

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8
3D-printing and advanced manufacturing for electronics
3D-printing and advanced manufacturing for electronics
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3D-printing and advanced manufacturing for electronics

Espera, Alejandro H. ; Dizon, John Ryan C. ; Chen, Qiyi ; Advincula, Rigoberto C.

Progress in additive manufacturing, 2019-09, Vol.4 (3), p.245-267 [Periódico revisado por pares]

Cham: Springer International Publishing

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9
Synthetic data augmentation for surface defect detection and classification using deep learning
Synthetic data augmentation for surface defect detection and classification using deep learning
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Synthetic data augmentation for surface defect detection and classification using deep learning

Jain, Saksham ; Seth, Gautam ; Paruthi, Arpit ; Soni, Umang ; Kumar, Girish

Journal of intelligent manufacturing, 2022-04, Vol.33 (4), p.1007-1020 [Periódico revisado por pares]

New York: Springer US

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Optimization of fused deposition modeling process parameters: a review of current research and future prospects
Optimization of fused deposition modeling process parameters: a review of current research and future prospects
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Optimization of fused deposition modeling process parameters: a review of current research and future prospects

Mohamed, Omar A. ; Masood, Syed H. ; Bhowmik, Jahar L.

Advances in manufacturing, 2015-03, Vol.3 (1), p.42-53 [Periódico revisado por pares]

Heidelberg: Shanghai University

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