| nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
| 1 |
A deep convolutional network combining layerwise images and defect parameter vectors for laser powder bed fusion process anomalies classification
|
Jiang, Zimeng
|
|
|
35 |
6 |
p. 2929-2959
|
artikel
|
| 2 |
A hierarchical ensemble causal structure learning approach for wafer manufacturing
|
Yang, Yu
|
|
|
35 |
6 |
p. 2961-2978
|
artikel
|
| 3 |
An accuracy and performance-oriented accurate digital twin modeling method for precision microstructures
|
Saren, Qimuge
|
|
|
35 |
6 |
p. 2887-2911
|
artikel
|
| 4 |
An innovative integrated approach to automatic defect detection system of cell phone case manufacturing in an empirical implementation
|
Liao, Chao-Chang
|
|
|
35 |
6 |
p. 2613-2624
|
artikel
|
| 5 |
A novel interpretable predictive model based on ensemble learning and differential evolution algorithm for surface roughness prediction in abrasive water jet polishing
|
Xie, Shutong
|
|
|
35 |
6 |
p. 2787-2810
|
artikel
|
| 6 |
Applying machine learning to wire arc additive manufacturing: a systematic data-driven literature review
|
Hamrani, Abderrachid
|
|
|
35 |
6 |
p. 2407-2439
|
artikel
|
| 7 |
A real spatial–temporal attention denoising network for nugget quality detection in resistance spot weld
|
Zhou, Jie
|
|
|
35 |
6 |
p. 2743-2764
|
artikel
|
| 8 |
Competing refurbishment in a supply chain with different selling modes
|
Zhang, Yan
|
|
|
35 |
6 |
p. 2845-2865
|
artikel
|
| 9 |
Correction to: Smart scheduling of dynamic job shop based on discrete event simulation and deep reinforcement learning
|
Wang, Ziqing
|
|
|
35 |
6 |
p. 2611
|
artikel
|
| 10 |
Deviation compensation in LPBF series production via statistical predeformation and structural pattern analysis
|
Lechner, Philipp
|
|
|
35 |
6 |
p. 2645-2652
|
artikel
|
| 11 |
Digitalization platform for data-driven quality management in multi-stage manufacturing systems
|
Filz, Marc-André
|
|
|
35 |
6 |
p. 2699-2718
|
artikel
|
| 12 |
Digital Twin-based manufacturing system: a survey based on a novel reference model
|
Liu, Shimin
|
|
|
35 |
6 |
p. 2517-2546
|
artikel
|
| 13 |
Digital twin enhanced fault diagnosis reasoning for autoclave
|
Wang, Yucheng
|
|
|
35 |
6 |
p. 2913-2928
|
artikel
|
| 14 |
Equipment electrocardiogram (EECG): making intelligent production line more robust
|
Chen, Baotong
|
|
|
35 |
6 |
p. 2867-2886
|
artikel
|
| 15 |
Evaluation of process planning in manufacturing by a neural network based on an energy definition of hopfield nets
|
Spoor, Jan Michael
|
|
|
35 |
6 |
p. 2625-2643
|
artikel
|
| 16 |
Fault diagnosis and self-healing for smart manufacturing: a review
|
Aldrini, Joma
|
|
|
35 |
6 |
p. 2441-2473
|
artikel
|
| 17 |
Image deep learning in fault diagnosis of mechanical equipment
|
Wang, Chuanhao
|
|
|
35 |
6 |
p. 2475-2515
|
artikel
|
| 18 |
In-situ porosity prediction in metal powder bed fusion additive manufacturing using spectral emissions: a prior-guided machine learning approach
|
Atwya, Mohamed
|
|
|
35 |
6 |
p. 2719-2742
|
artikel
|
| 19 |
Multi-stage few-shot micro-defect detection of patterned OLED panel using defect inpainting and multi-scale Siamese neural network
|
Ye, Shujiao
|
|
|
35 |
6 |
p. 2653-2669
|
artikel
|
| 20 |
Production quality prediction of cross-specification products using dynamic deep transfer learning network
|
Wang, Pei
|
|
|
35 |
6 |
p. 2567-2592
|
artikel
|
| 21 |
Rapid simplification of 3D geometry model of mechanisms in the digital twins-driven manufacturing system design
|
Leng, Jiewu
|
|
|
35 |
6 |
p. 2765-2786
|
artikel
|
| 22 |
Smart nesting: estimating geometrical compatibility in the nesting problem using graph neural networks
|
Abdou, Kirolos
|
|
|
35 |
6 |
p. 2811-2827
|
artikel
|
| 23 |
Smart scheduling of dynamic job shop based on discrete event simulation and deep reinforcement learning
|
Wang, Ziqing
|
|
|
35 |
6 |
p. 2593-2610
|
artikel
|
| 24 |
SSMSPC: self-supervised multivariate statistical in-process control in discrete manufacturing processes
|
Biegel, Tobias
|
|
|
35 |
6 |
p. 2671-2698
|
artikel
|
| 25 |
Swarm intelligence-based framework for accelerated and optimized assembly line design in the automotive industry
|
El Houd, Anass
|
|
|
35 |
6 |
p. 2829-2843
|
artikel
|
| 26 |
Tool wear prediction in milling CFRP with different fiber orientations based on multi-channel 1DCNN-LSTM
|
Li, Bohao
|
|
|
35 |
6 |
p. 2547-2566
|
artikel
|
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