no |
title |
author |
magazine |
year |
volume |
issue |
page(s) |
type |
1 |
A cyber-physical prototype system in augmented reality using RGB-D camera for CNC machining simulation
|
Wang, PengYu |
|
|
34 |
8 |
p. 3637-3658 |
article |
2 |
A digital shadow framework using distributed system concepts
|
AboElHassan, Ayman |
|
|
34 |
8 |
p. 3579-3598 |
article |
3 |
Advances in machine learning and deep learning applications towards wafer map defect recognition and classification: a review
|
Kim, Tongwha |
|
|
34 |
8 |
p. 3215-3247 |
article |
4 |
An online intelligent method for roller path design in conventional spinning
|
Gao, Pengfei |
|
|
34 |
8 |
p. 3429-3444 |
article |
5 |
A novel feature-fusion-based end-to-end approach for remaining useful life prediction
|
Zhu, Qiwu |
|
|
34 |
8 |
p. 3495-3505 |
article |
6 |
A review of machine learning techniques for process and performance optimization in laser beam powder bed fusion additive manufacturing
|
Liu, Jia |
|
|
34 |
8 |
p. 3249-3275 |
article |
7 |
A systematic review of data-driven approaches to fault diagnosis and early warning
|
Jieyang, Peng |
|
|
34 |
8 |
p. 3277-3304 |
article |
8 |
A systematic review on data of additive manufacturing for machine learning applications: the data quality, type, preprocessing, and management
|
Zhang, Ying |
|
|
34 |
8 |
p. 3305-3340 |
article |
9 |
Augmented arithmetic optimization algorithm using opposite-based learning and lévy flight distribution for global optimization and data clustering
|
Abualigah, Laith |
|
|
34 |
8 |
p. 3523-3561 |
article |
10 |
A universal predictor-based machine learning model for optimal process maps in laser powder bed fusion process
|
Gu, Zhaochen |
|
|
34 |
8 |
p. 3341-3363 |
article |
11 |
CNN and ensemble learning based wafer map failure pattern recognition based on local property based features
|
Piao, Minghao |
|
|
34 |
8 |
p. 3599-3621 |
article |
12 |
Conductive particle detection via efficient encoder–decoder network
|
Wang, Yuanyuan |
|
|
34 |
8 |
p. 3563-3577 |
article |
13 |
Cross-domain adaptation network based on attention mechanism for tool wear prediction
|
He, Jianliang |
|
|
34 |
8 |
p. 3365-3387 |
article |
14 |
Few-shot defect recognition of metal surfaces via attention-embedding and self-supervised learning
|
Liu, Zhenyu |
|
|
34 |
8 |
p. 3507-3521 |
article |
15 |
Integrated scheduling of production, inventory and imperfect maintenance based on mutual feedback of supplier and demander in distributed environment
|
Wang, Zhen |
|
|
34 |
8 |
p. 3445-3467 |
article |
16 |
Manufacturing process classification based on heat kernel signature and convolutional neural networks
|
Wang, Zhichao |
|
|
34 |
8 |
p. 3389-3411 |
article |
17 |
Meta-FSDet: a meta-learning based detector for few-shot defects of photovoltaic modules
|
Wang, Shijie |
|
|
34 |
8 |
p. 3413-3427 |
article |
18 |
Optimization of injection molding process using multi-objective bayesian optimization and constrained generative inverse design networks
|
Jung, Jiyoung |
|
|
34 |
8 |
p. 3623-3636 |
article |
19 |
SPECTRE: a deep learning network for posture recognition in manufacturing
|
Ciccarelli, Marianna |
|
|
34 |
8 |
p. 3469-3481 |
article |
20 |
Unified discriminant manifold learning for rotating machinery fault diagnosis
|
Yang, Changyuan |
|
|
34 |
8 |
p. 3483-3494 |
article |