| nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
| 1 |
A cyber-physical prototype system in augmented reality using RGB-D camera for CNC machining simulation
|
Wang, PengYu
|
|
|
34 |
8 |
p. 3637-3658
|
artikel
|
| 2 |
A digital shadow framework using distributed system concepts
|
AboElHassan, Ayman
|
|
|
34 |
8 |
p. 3579-3598
|
artikel
|
| 3 |
Advances in machine learning and deep learning applications towards wafer map defect recognition and classification: a review
|
Kim, Tongwha
|
|
|
34 |
8 |
p. 3215-3247
|
artikel
|
| 4 |
An online intelligent method for roller path design in conventional spinning
|
Gao, Pengfei
|
|
|
34 |
8 |
p. 3429-3444
|
artikel
|
| 5 |
A novel feature-fusion-based end-to-end approach for remaining useful life prediction
|
Zhu, Qiwu
|
|
|
34 |
8 |
p. 3495-3505
|
artikel
|
| 6 |
A review of machine learning techniques for process and performance optimization in laser beam powder bed fusion additive manufacturing
|
Liu, Jia
|
|
|
34 |
8 |
p. 3249-3275
|
artikel
|
| 7 |
A systematic review of data-driven approaches to fault diagnosis and early warning
|
Jieyang, Peng
|
|
|
34 |
8 |
p. 3277-3304
|
artikel
|
| 8 |
A systematic review on data of additive manufacturing for machine learning applications: the data quality, type, preprocessing, and management
|
Zhang, Ying
|
|
|
34 |
8 |
p. 3305-3340
|
artikel
|
| 9 |
Augmented arithmetic optimization algorithm using opposite-based learning and lévy flight distribution for global optimization and data clustering
|
Abualigah, Laith
|
|
|
34 |
8 |
p. 3523-3561
|
artikel
|
| 10 |
A universal predictor-based machine learning model for optimal process maps in laser powder bed fusion process
|
Gu, Zhaochen
|
|
|
34 |
8 |
p. 3341-3363
|
artikel
|
| 11 |
CNN and ensemble learning based wafer map failure pattern recognition based on local property based features
|
Piao, Minghao
|
|
|
34 |
8 |
p. 3599-3621
|
artikel
|
| 12 |
Conductive particle detection via efficient encoder–decoder network
|
Wang, Yuanyuan
|
|
|
34 |
8 |
p. 3563-3577
|
artikel
|
| 13 |
Cross-domain adaptation network based on attention mechanism for tool wear prediction
|
He, Jianliang
|
|
|
34 |
8 |
p. 3365-3387
|
artikel
|
| 14 |
Few-shot defect recognition of metal surfaces via attention-embedding and self-supervised learning
|
Liu, Zhenyu
|
|
|
34 |
8 |
p. 3507-3521
|
artikel
|
| 15 |
Integrated scheduling of production, inventory and imperfect maintenance based on mutual feedback of supplier and demander in distributed environment
|
Wang, Zhen
|
|
|
34 |
8 |
p. 3445-3467
|
artikel
|
| 16 |
Manufacturing process classification based on heat kernel signature and convolutional neural networks
|
Wang, Zhichao
|
|
|
34 |
8 |
p. 3389-3411
|
artikel
|
| 17 |
Meta-FSDet: a meta-learning based detector for few-shot defects of photovoltaic modules
|
Wang, Shijie
|
|
|
34 |
8 |
p. 3413-3427
|
artikel
|
| 18 |
Optimization of injection molding process using multi-objective bayesian optimization and constrained generative inverse design networks
|
Jung, Jiyoung
|
|
|
34 |
8 |
p. 3623-3636
|
artikel
|
| 19 |
SPECTRE: a deep learning network for posture recognition in manufacturing
|
Ciccarelli, Marianna
|
|
|
34 |
8 |
p. 3469-3481
|
artikel
|
| 20 |
Unified discriminant manifold learning for rotating machinery fault diagnosis
|
Yang, Changyuan
|
|
|
34 |
8 |
p. 3483-3494
|
artikel
|
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