| no |
title |
author |
magazine |
year |
volume |
issue |
page(s) |
type |
| 1 |
Accelerating ultrashort pulse laser micromachining process comprehensive optimization using a machine learning cycle design strategy integrated with a physical model
|
Zhang, Zhen
|
|
|
35 |
1 |
p. 449-465
|
article
|
| 2 |
A digital twin-based framework for selection of grinding conditions towards improved productivity and part quality
|
Jamshidi, Hamid
|
|
|
35 |
1 |
p. 161-173
|
article
|
| 3 |
A normal weld recognition method for time-of-flight diffraction detection based on generative adversarial network
|
Jiang, Hongquan
|
|
|
35 |
1 |
p. 217-233
|
article
|
| 4 |
A novel automatic classification approach for micro-flaws on the large-aperture optics surface based on multi-light source fusion and integrated deep learning architecture
|
Yin, Zhaoyang
|
|
|
35 |
1 |
p. 413-428
|
article
|
| 5 |
A quality improvement method for complex component fine manufacturing based on terminal laser beam deflection compensation
|
Hou, Dongxiang
|
|
|
35 |
1 |
p. 331-341
|
article
|
| 6 |
A semantic-driven tradespace framework to accelerate aircraft manufacturing system design
|
Zheng, Xiaochen
|
|
|
35 |
1 |
p. 175-198
|
article
|
| 7 |
A spatio-temporal fault diagnosis method based on STF-DBN for reciprocating compressor
|
Tian, Huixin
|
|
|
35 |
1 |
p. 199-216
|
article
|
| 8 |
Cross-scale fusion and domain adversarial network for generalizable rail surface defect segmentation on unseen datasets
|
Ma, Shuai
|
|
|
35 |
1 |
p. 367-386
|
article
|
| 9 |
Data-driven cymbal bronze alloy identification via evolutionary machine learning with automatic feature selection
|
Boratto, Tales H. A.
|
|
|
35 |
1 |
p. 257-273
|
article
|
| 10 |
Digital modeling-driven chatter suppression for thin-walled part manufacturing
|
Zhou, Guo
|
|
|
35 |
1 |
p. 289-305
|
article
|
| 11 |
Dynamic spatial–temporal graph-driven machine remaining useful life prediction method using graph data augmentation
|
Yang, Chaoying
|
|
|
35 |
1 |
p. 355-366
|
article
|
| 12 |
Enhancing wisdom manufacturing as industrial metaverse for industry and society 5.0
|
Yao, Xifan
|
|
|
35 |
1 |
p. 235-255
|
article
|
| 13 |
Hyper-automation in manufacturing industry
|
Kusiak, Andrew
|
|
|
35 |
1 |
p. 1-2
|
article
|
| 14 |
In-process prediction of weld penetration depth using machine learning-based molten pool extraction technique in tungsten arc welding
|
Baek, Daehyun
|
|
|
35 |
1 |
p. 129-145
|
article
|
| 15 |
In-situ prediction of machining errors of thin-walled parts: an engineering knowledge based sparse Bayesian learning approach
|
Sun, Hao
|
|
|
35 |
1 |
p. 387-411
|
article
|
| 16 |
Integrated circuit probe card troubleshooting based on rough set theory for advanced quality control and an empirical study
|
Chien, Chen-Fu
|
|
|
35 |
1 |
p. 275-287
|
article
|
| 17 |
Intelligent inventory management with autonomation and service strategy
|
Dey, Bikash Koli
|
|
|
35 |
1 |
p. 307-330
|
article
|
| 18 |
Interpolation-based virtual sample generation for surface roughness prediction
|
Tian, Wenwen
|
|
|
35 |
1 |
p. 343-353
|
article
|
| 19 |
Material removal rate prediction in chemical mechanical planarization with conditional probabilistic autoencoder and stacking ensemble learning
|
Wei, Yupeng
|
|
|
35 |
1 |
p. 115-127
|
article
|
| 20 |
Modeling spatial point processes in video-imaging via Ripley’s K-function: an application to spatter analysis in additive manufacturing
|
Colosimo, Bianca Maria
|
|
|
35 |
1 |
p. 429-447
|
article
|
| 21 |
Multi-agent reinforcement learning based on graph convolutional network for flexible job shop scheduling
|
Jing, Xuan
|
|
|
35 |
1 |
p. 75-93
|
article
|
| 22 |
Online porosity prediction in laser welding of aluminum alloys based on a multi-fidelity deep learning framework
|
Ma, Deyuan
|
|
|
35 |
1 |
p. 55-73
|
article
|
| 23 |
Particle swarm optimization service composition algorithm based on prior knowledge
|
Wang, Hongbin
|
|
|
35 |
1 |
p. 35-53
|
article
|
| 24 |
Scientometric analysis and systematic review of smart manufacturing technologies applied to the 3D printing polymer material extrusion system
|
Castillo, Miguel
|
|
|
35 |
1 |
p. 3-33
|
article
|
| 25 |
State identification of a 5-axis ultra-precision CNC machine tool using energy consumption data assisted by multi-output densely connected 1D-CNN model
|
Xu, Zhicheng
|
|
|
35 |
1 |
p. 147-160
|
article
|
| 26 |
Surface defect detection method for air rudder based on positive samples
|
Yang, Zeqing
|
|
|
35 |
1 |
p. 95-113
|
article
|
Journal description