| nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
| 1 |
A deep learning framework for defect prediction based on thermographic in-situ monitoring in laser powder bed fusion
|
Oster, Simon
|
|
|
35 |
4 |
p. 1687-1706
|
artikel
|
| 2 |
A dual-attention feature fusion network for imbalanced fault diagnosis with two-stream hybrid generated data
|
Wang, Chenze
|
|
|
35 |
4 |
p. 1707-1719
|
artikel
|
| 3 |
A fast spatio-temporal temperature predictor for vacuum assisted resin infusion molding process based on deep machine learning modeling
|
Zhang, Runyu
|
|
|
35 |
4 |
p. 1737-1764
|
artikel
|
| 4 |
A framework and method for equipment digital twin dynamic evolution based on IExATCN
|
Wang, Kunyu
|
|
|
35 |
4 |
p. 1571-1583
|
artikel
|
| 5 |
A multi-subpopulation genetic algorithm-based CNN approach for ceramic tile defects classification
|
Huynh, Nhat-To
|
|
|
35 |
4 |
p. 1781-1792
|
artikel
|
| 6 |
A multi-task learning-based optimization approach for finding diverse sets of microstructures with desired properties
|
Iraki, Tarek
|
|
|
35 |
4 |
p. 1887-1903
|
artikel
|
| 7 |
A novel 2.5D machining feature recognition method based on ray blanking algorithm
|
Shi, Peng
|
|
|
35 |
4 |
p. 1585-1605
|
artikel
|
| 8 |
Anticipatory analysis of AGV trajectory in a 5G network using machine learning
|
Mozo, Alberto
|
|
|
35 |
4 |
p. 1541-1569
|
artikel
|
| 9 |
Attention-driven transfer learning framework for dynamic model guided time domain chatter detection
|
Yin, Chen
|
|
|
35 |
4 |
p. 1867-1885
|
artikel
|
| 10 |
Automatic quality control of aluminium parts welds based on 3D data and artificial intelligence
|
Cardellicchio, Angelo
|
|
|
35 |
4 |
p. 1629-1648
|
artikel
|
| 11 |
Coupling of an analytical rolling model and reinforcement learning to design pass schedules: towards properties controlled hot rolling
|
Idzik, C.
|
|
|
35 |
4 |
p. 1469-1490
|
artikel
|
| 12 |
Data-driven indirect punch wear monitoring in sheet-metal stamping processes
|
Unterberg, Martin
|
|
|
35 |
4 |
p. 1721-1735
|
artikel
|
| 13 |
Developing an explainable hybrid deep learning model in digital transformation: an empirical study
|
Chiu, Ming-Chuan
|
|
|
35 |
4 |
p. 1793-1810
|
artikel
|
| 14 |
Federated transfer learning for auxiliary classifier generative adversarial networks: framework and industrial application
|
Guo, Wei
|
|
|
35 |
4 |
p. 1439-1454
|
artikel
|
| 15 |
Flexible job shop scheduling with preventive maintenance consideration
|
Wocker, Michael Mario
|
|
|
35 |
4 |
p. 1517-1539
|
artikel
|
| 16 |
GAN-based statistical modeling with adaptive schemes for surface defect inspection of IC metal packages
|
Wu, Zhenshuang
|
|
|
35 |
4 |
p. 1811-1824
|
artikel
|
| 17 |
Genetic algorithm optimization based on manufacturing prediction for an efficient tolerance allocation approach
|
Ghali, Maroua
|
|
|
35 |
4 |
p. 1649-1670
|
artikel
|
| 18 |
High-precision point cloud registration system of multi-view industrial self-similar workpiece based on super-point space guidance
|
Wang, Xingguo
|
|
|
35 |
4 |
p. 1765-1779
|
artikel
|
| 19 |
Indirect porosity detection and root-cause identification in WAAM
|
Alcaraz, Joselito Yam II
|
|
|
35 |
4 |
p. 1607-1628
|
artikel
|
| 20 |
Learning the manufacturing capabilities of machining and finishing processes using a deep neural network model
|
Zhao, Changxuan
|
|
|
35 |
4 |
p. 1845-1865
|
artikel
|
| 21 |
Multidomain variance-learnable prototypical network for few-shot diagnosis of novel faults
|
Long, Jianyu
|
|
|
35 |
4 |
p. 1455-1467
|
artikel
|
| 22 |
Power spectral density moment of having defective 3D printed plastic beams under moving load based on deep learning
|
Nguyen, Thanh Q.
|
|
|
35 |
4 |
p. 1491-1515
|
artikel
|
| 23 |
Process monitoring and machine learning for defect detection in laser-based metal additive manufacturing
|
Herzog, T.
|
|
|
35 |
4 |
p. 1407-1437
|
artikel
|
| 24 |
Process parameter optimization for reproducible fabrication of layer porosity quality of 3D-printed tissue scaffold
|
Law, Andrew Chung Chee
|
|
|
35 |
4 |
p. 1825-1844
|
artikel
|
| 25 |
Visual analytics for digital twins: a conceptual framework and case study
|
Zheng, Hangbin
|
|
|
35 |
4 |
p. 1671-1686
|
artikel
|
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