nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
1 |
A deep learning solution for real-time quality assessment and control in additive manufacturing using point cloud data
|
Akhavan, Javid |
|
|
35 |
3 |
p. 1389-1406 |
artikel |
2 |
A novel approach for tool condition monitoring based on transfer learning of deep neural networks using time–frequency images
|
Li, Yao |
|
|
35 |
3 |
p. 1159-1171 |
artikel |
3 |
A texture-aware one-stage fabric defect detection network with adaptive feature fusion and multi-task training
|
Lu, Bingyu |
|
|
35 |
3 |
p. 1267-1280 |
artikel |
4 |
Attention mechanism-based deep learning for heat load prediction in blast furnace ironmaking process
|
Xu, Hong-Wei |
|
|
35 |
3 |
p. 1207-1220 |
artikel |
5 |
A two-stage RNN-based deep reinforcement learning approach for solving the parallel machine scheduling problem with due dates and family setups
|
Li, Funing |
|
|
35 |
3 |
p. 1107-1140 |
artikel |
6 |
Automatic detection and characterization of porosities in cross-section images of metal parts produced by binder jetting using machine learning and image augmentation
|
Satterlee, Nicholas |
|
|
35 |
3 |
p. 1281-1303 |
artikel |
7 |
Bilateral matching for collaborative remanufacturing services based on multi-attribute preferences and mutual interactions
|
Liu, Xiahui |
|
|
35 |
3 |
p. 1353-1372 |
artikel |
8 |
Comparison and explanation of data-driven modeling for weld quality prediction in resistance spot welding
|
Russell, Matthew |
|
|
35 |
3 |
p. 1305-1319 |
artikel |
9 |
DESMILS: a decision support approach for multi-item lot sizing using interactive multiobjective optimization
|
Kania, Adhe |
|
|
35 |
3 |
p. 1373-1387 |
artikel |
10 |
Development of adaptive safety constraint by predicting trajectories of closest points between human and co-robot
|
Zhu, Yufan |
|
|
35 |
3 |
p. 1197-1206 |
artikel |
11 |
Development of grinding intelligent monitoring and big data-driven decision making expert system towards high efficiency and low energy consumption: experimental approach
|
Wang, Jinling |
|
|
35 |
3 |
p. 1013-1035 |
artikel |
12 |
Hierarchical multi-scale network for cross-scale visual defect detection
|
Tang, Ruining |
|
|
35 |
3 |
p. 1141-1157 |
artikel |
13 |
Industrial-oriented machine learning big data framework for temporal-spatial error prediction and control with DTSMGCN model
|
Gui, Hongquan |
|
|
35 |
3 |
p. 1173-1196 |
artikel |
14 |
Machine learning approach to packaging compatibility testing in the new product development process
|
Piotrowski, Norbert |
|
|
35 |
3 |
p. 963-975 |
artikel |
15 |
Machining tool identification utilizing temporal 3D point clouds
|
Zoumpekas, Thanasis |
|
|
35 |
3 |
p. 1221-1232 |
artikel |
16 |
Method for monitoring and controlling penetration of complex groove welding based on online multi-modal data
|
Gao, Peng |
|
|
35 |
3 |
p. 1247-1265 |
artikel |
17 |
Monitoring and control of biological additive manufacturing using machine learning
|
Gerdes, Samuel |
|
|
35 |
3 |
p. 1055-1077 |
artikel |
18 |
Nash equilibrium as a tool for the Car Sequencing Problem 4.0
|
Bysko, Sara |
|
|
35 |
3 |
p. 1037-1053 |
artikel |
19 |
Powder bed monitoring via digital image analysis in additive manufacturing
|
Boschetto, A. |
|
|
35 |
3 |
p. 991-1011 |
artikel |
20 |
PreAugNet: improve data augmentation for industrial defect classification with small-scale training data
|
Farady, Isack |
|
|
35 |
3 |
p. 1233-1246 |
artikel |
21 |
Prognostics and health management for induction machines: a comprehensive review
|
Huang, Chao |
|
|
35 |
3 |
p. 937-962 |
artikel |
22 |
Real-time defect detection of TFT-LCD displays using a lightweight network architecture
|
Chen, Ping |
|
|
35 |
3 |
p. 1337-1352 |
artikel |
23 |
Research on digital twin monitoring system for large complex surface machining
|
Qi, Tian-Feng |
|
|
35 |
3 |
p. 977-990 |
artikel |
24 |
Root cause analysis of an out-of-control process using a logical analysis of data regression model and exponential weighted moving average
|
Khalifa, Ramy M. |
|
|
35 |
3 |
p. 1321-1336 |
artikel |
25 |
Tool wear condition monitoring across machining processes based on feature transfer by deep adversarial domain confusion network
|
Huang, Zhiwen |
|
|
35 |
3 |
p. 1079-1105 |
artikel |