nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
1 |
A domain adaptation method for bearing fault diagnosis using multiple incomplete source data
|
Wang, Qibin |
|
|
35 |
2 |
p. 777-791 |
artikel |
2 |
A knowledge distillation-based multi-scale relation-prototypical network for cross-domain few-shot defect classification
|
Zhao, Jiaqi |
|
|
35 |
2 |
p. 841-857 |
artikel |
3 |
A novel approach of tool condition monitoring in sustainable machining of Ni alloy with transfer learning models
|
Ross, Nimel Sworna |
|
|
35 |
2 |
p. 757-775 |
artikel |
4 |
A novel deep learning motivated data augmentation system based on defect segmentation requirements
|
Niu, Shuanlong |
|
|
35 |
2 |
p. 687-701 |
artikel |
5 |
A novel hybrid framework for single and multi-robot path planning in a complex industrial environment
|
Kumar, Sunil |
|
|
35 |
2 |
p. 587-612 |
artikel |
6 |
A novel hypergraph convolution network for wafer defect patterns identification based on an unbalanced dataset
|
Xie, Yuxi |
|
|
35 |
2 |
p. 633-646 |
artikel |
7 |
A novel micro-defect classification system based on attention enhancement
|
Lin, Song |
|
|
35 |
2 |
p. 703-726 |
artikel |
8 |
A smart system of Customer- product Interaction Life Cycle (CILC) in industrial Internet era for mass personalization from industrial practice survey: identification, definition, acquisition and parsing
|
Zhang, Xianyu |
|
|
35 |
2 |
p. 727-756 |
artikel |
9 |
Collaborative approaches in sustainable and resilient manufacturing
|
Camarinha-Matos, Luis M. |
|
|
35 |
2 |
p. 499-519 |
artikel |
10 |
Correction: Global and local representation collaborative learning for few-shot learning
|
Zhou, Jun |
|
|
35 |
2 |
p. 665 |
artikel |
11 |
Digital-twin based real-time resource allocation for hull parts picking and processing
|
Wang, Xiangdong |
|
|
35 |
2 |
p. 613-632 |
artikel |
12 |
Experience from implementing digital twins for maintenance in industrial processes
|
Hassan, Muhammad |
|
|
35 |
2 |
p. 875-884 |
artikel |
13 |
Global and local representation collaborative learning for few-shot learning
|
Zhou, Jun |
|
|
35 |
2 |
p. 647-664 |
artikel |
14 |
Graph neural network comparison for 2D nesting efficiency estimation
|
Lallier, Corentin |
|
|
35 |
2 |
p. 859-873 |
artikel |
15 |
Heterogeneous demand–capacity synchronization for smart assembly cell line based on artificial intelligence-enabled IIoT
|
Ling, Shiquan |
|
|
35 |
2 |
p. 539-554 |
artikel |
16 |
Intelligent control system for 3D inkjet printing
|
Meng, Fanbo |
|
|
35 |
2 |
p. 575-586 |
artikel |
17 |
Machine learning enabled optimization of showerhead design for semiconductor deposition process
|
Jin, Zeqing |
|
|
35 |
2 |
p. 925-935 |
artikel |
18 |
Methodology for complexity and cost comparison between subtractive and additive manufacturing processes
|
Touzé, S. |
|
|
35 |
2 |
p. 555-574 |
artikel |
19 |
Monitoring and control the Wire Arc Additive Manufacturing process using artificial intelligence techniques: a review
|
Mattera, Giulio |
|
|
35 |
2 |
p. 467-497 |
artikel |
20 |
Multi-layer edge resource placement optimization for factories
|
Zietsch, Jakob |
|
|
35 |
2 |
p. 825-840 |
artikel |
21 |
Partitioned abrasive belt condition monitoring based on a unified coefficient and image processing
|
Huang, Xiaokang |
|
|
35 |
2 |
p. 905-923 |
artikel |
22 |
Predicting maintenance through an attention long short-term memory projected model
|
Tseng, Shih-Hsien |
|
|
35 |
2 |
p. 807-824 |
artikel |
23 |
Robust-stable scheduling in dynamic flow shops based on deep reinforcement learning
|
Grumbach, Felix |
|
|
35 |
2 |
p. 667-686 |
artikel |
24 |
Rule-based visualization of faulty process conditions in the die-casting manufacturing
|
Obregon, Josue |
|
|
35 |
2 |
p. 521-537 |
artikel |
25 |
Safe contextual Bayesian optimization integrated in industrial control for self-learning machines
|
De Blasi, Stefano |
|
|
35 |
2 |
p. 885-903 |
artikel |
26 |
Task allocation model for human-robot collaboration with variable cobot speed
|
Faccio, Maurizio |
|
|
35 |
2 |
p. 793-806 |
artikel |