| nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
| 1 |
Acquiring reusable skills in intrinsically motivated reinforcement learning
|
Davoodabadi Farahani, Marzieh
|
|
|
32 |
8 |
p. 2147-2168
|
artikel
|
| 2 |
An integrated inbound logistics mode with intelligent scheduling of milk-run collection, drop and pull delivery and LNG vehicles
|
Chen, Jianling
|
|
|
32 |
8 |
p. 2257-2265
|
artikel
|
| 3 |
A note to: A multiple-rule based constructive randomized search algorithm for solving assembly line worker assignment and balancing problem
|
Michels, Adalberto Sato
|
|
|
32 |
8 |
p. 2121-2124
|
artikel
|
| 4 |
A run-to-run controller for a chemical mechanical planarization process using least squares generative adversarial networks
|
Kim, Sinyoung
|
|
|
32 |
8 |
p. 2267-2280
|
artikel
|
| 5 |
Control of deposition height in WAAM using visual inspection of previous and current layers
|
Xiong, Jun
|
|
|
32 |
8 |
p. 2209-2217
|
artikel
|
| 6 |
Correction to: Quality 4.0: a review of big data challenges in manufacturing
|
Escobar, Carlos A.
|
|
|
32 |
8 |
p. 2375
|
artikel
|
| 7 |
DyS-IENN: a novel multiclass imbalanced learning method for early warning of tardiness in rocket final assembly process
|
Zhuang, Zilong
|
|
|
32 |
8 |
p. 2197-2207
|
artikel
|
| 8 |
Fuzzy traceability: using domain knowledge information to estimate the followed route of process instances in non-exhaustive monitoring environments
|
Ramos-Merino, Mateo
|
|
|
32 |
8 |
p. 2235-2255
|
artikel
|
| 9 |
Machine learning to determine the main factors affecting creep rates in laser powder bed fusion
|
Sanchez, Salomé
|
|
|
32 |
8 |
p. 2353-2373
|
artikel
|
| 10 |
Mitigating congestion in wireless sensor networks through clustering and queue assistance: a survey
|
Yadav, Saneh Lata
|
|
|
32 |
8 |
p. 2083-2098
|
artikel
|
| 11 |
Modular production control using deep reinforcement learning: proximal policy optimization
|
Mayer, Sebastian
|
|
|
32 |
8 |
p. 2335-2351
|
artikel
|
| 12 |
Multi-objective optimization of the resistance spot welding process using a hybrid approach
|
Zhao, Dawei
|
|
|
32 |
8 |
p. 2219-2234
|
artikel
|
| 13 |
Multitask learning for health condition identification and remaining useful life prediction: deep convolutional neural network approach
|
Kim, Tae San
|
|
|
32 |
8 |
p. 2169-2179
|
artikel
|
| 14 |
On the role of complexity in machining time estimation
|
Armillotta, Antonio
|
|
|
32 |
8 |
p. 2281-2299
|
artikel
|
| 15 |
Prediction and optimization of performance measures in electrical discharge machining using rapid prototyping tool electrodes
|
Sahu, Anshuman Kumar
|
|
|
32 |
8 |
p. 2125-2145
|
artikel
|
| 16 |
Quality 4.0: a review of big data challenges in manufacturing
|
Escobar, Carlos A.
|
|
|
32 |
8 |
p. 2319-2334
|
artikel
|
| 17 |
Real-time edge framework (RTEF): task scheduling and realisation
|
Gezer, Volkan
|
|
|
32 |
8 |
p. 2301-2317
|
artikel
|
| 18 |
Review of image segmentation techniques for layup defect detection in the Automated Fiber Placement process
|
Meister, Sebastian
|
|
|
32 |
8 |
p. 2099-2119
|
artikel
|
| 19 |
Statistical process monitoring in a specified period for the image data of fused deposition modeling parts with consistent layers
|
Huang, Tingting
|
|
|
32 |
8 |
p. 2181-2196
|
artikel
|
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