| nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
| 1 |
Accurate and energy efficient ad-hoc neural network for wafer map classification
|
Pinzari, Ana
|
|
|
36 |
4 |
p. 2863-2880
|
artikel
|
| 2 |
A deep learning model for online prediction of in-process dynamic characteristics of thin-walled complex blade machining
|
Cao, Zhengtong
|
|
|
36 |
4 |
p. 2629-2655
|
artikel
|
| 3 |
A dynamic inference network (DI-Net) for online fabric defect detection in smart manufacturing
|
Zhao, Shuxuan
|
|
|
36 |
4 |
p. 2881-2896
|
artikel
|
| 4 |
A generalisable tool path planning strategy for free-form sheet metal stamping through deep reinforcement and supervised learning
|
Liu, Shiming
|
|
|
36 |
4 |
p. 2601-2627
|
artikel
|
| 5 |
Agentic manufacturing system = digital twin + manufacturing
|
Kusiak, Andrew
|
|
|
36 |
4 |
p. 2221-2222
|
artikel
|
| 6 |
A multi scale meta-learning network for cross domain fault diagnosis with limited samples
|
Wang, Yu
|
|
|
36 |
4 |
p. 2841-2861
|
artikel
|
| 7 |
An online prediction method for array antenna assembly performance based on digital twin
|
Guo, Xuepeng
|
|
|
36 |
4 |
p. 2727-2748
|
artikel
|
| 8 |
A review of external sensors for human detection in a human robot collaborative environment
|
Saleem, Zainab
|
|
|
36 |
4 |
p. 2255-2279
|
artikel
|
| 9 |
A transfer regression network-based adaptive calibration method for remaining useful life prediction considering individual discrepancies in the degradation process of machinery
|
Chen, Jiaxian
|
|
|
36 |
4 |
p. 2767-2783
|
artikel
|
| 10 |
Automated assembly quality inspection by deep learning with 2D and 3D synthetic CAD data
|
Zhu, Xiaomeng
|
|
|
36 |
4 |
p. 2567-2582
|
artikel
|
| 11 |
Automatic high-frequency induction brazing through an ensembled detection with heterogenous sensor measurements
|
Moon, Joonhyeok
|
|
|
36 |
4 |
p. 2439-2459
|
artikel
|
| 12 |
Big GCVAE: decision-making with adaptive transformer model for failure root cause analysis in semiconductor industry
|
Ezukwoke, Kenneth
|
|
|
36 |
4 |
p. 2423-2438
|
artikel
|
| 13 |
Combining physics-based and data-driven methods in metal stamping
|
Abanda, Amaia
|
|
|
36 |
4 |
p. 2583-2599
|
artikel
|
| 14 |
Cyber-physical systems: a bibliometric analysis of literature
|
Singh, Nitin
|
|
|
36 |
4 |
p. 2335-2371
|
artikel
|
| 15 |
Defect monitoring of high-power laser-arc hybrid welding process based on an improved channel attention convolutional neural network
|
Qiu, Yue
|
|
|
36 |
4 |
p. 2657-2676
|
artikel
|
| 16 |
Digital twin-driven smelting process management method for converter steelmaking
|
Fu, Tianjie
|
|
|
36 |
4 |
p. 2749-2765
|
artikel
|
| 17 |
Exploring and optimizing deep neural networks for precision defect detection system in injection molding process
|
EL Ghadoui, Mohamed
|
|
|
36 |
4 |
p. 2897-2914
|
artikel
|
| 18 |
Hybrid intelligence failure analysis for industry 4.0: a literature review and future prospective
|
Mokhtarzadeh, Mahdi
|
|
|
36 |
4 |
p. 2309-2334
|
artikel
|
| 19 |
Image-based identification of optical quality and functional properties in inkjet-printed electronics using machine learning
|
Polomoshnov, Maxim
|
|
|
36 |
4 |
p. 2709-2726
|
artikel
|
| 20 |
Input attribute optimization for thermal deformation of machine-tool spindles using artificial intelligence
|
Maurya, Swami Nath
|
|
|
36 |
4 |
p. 2387-2408
|
artikel
|
| 21 |
Intelligent hierarchical compensation method for industrial robot positioning error based on compound branch neural network automatic creation
|
Zhou, Jian
|
|
|
36 |
4 |
p. 2915-2938
|
artikel
|
| 22 |
Manufacturing process selection based on similarity search: incorporating non-shape information in shape descriptor comparison
|
Wang, Zhichao
|
|
|
36 |
4 |
p. 2509-2536
|
artikel
|
| 23 |
Multi-level joint distributed alignment-based domain adaptation for cross-scenario strip defect recognition
|
Liu, Kun
|
|
|
36 |
4 |
p. 2373-2386
|
artikel
|
| 24 |
Ontologies for prognostics and health management of production systems: overview and research challenges
|
Franciosi, Chiara
|
|
|
36 |
4 |
p. 2223-2253
|
artikel
|
| 25 |
Optimization of image acquisition by automated white-light interferometers during the inspection of object surfaces
|
Schwarze, Björn
|
|
|
36 |
4 |
p. 2537-2566
|
artikel
|
| 26 |
Optimization of laser annealing parameters based on bayesian reinforcement learning
|
Chang, Chung-Yuan
|
|
|
36 |
4 |
p. 2479-2492
|
artikel
|
| 27 |
Prediction of thin-walled workpiece machining error: a transfer learning approach
|
Yu, Yu-Yue
|
|
|
36 |
4 |
p. 2803-2827
|
artikel
|
| 28 |
Qualitative and quantitative characterization of powder bed quality in laser powder-bed fusion additive manufacturing by multi-task learning
|
Jiang, Hao
|
|
|
36 |
4 |
p. 2695-2707
|
artikel
|
| 29 |
Quality evaluation modeling of a DED-processed metallic deposition based on ResNet-50 with few training data
|
Park, Hyunmin
|
|
|
36 |
4 |
p. 2677-2693
|
artikel
|
| 30 |
Recent advances in human–robot interaction: robophobia or synergy
|
Dzedzickis, Andrius
|
|
|
36 |
4 |
p. 2281-2307
|
artikel
|
| 31 |
Self-supervised fusion of deep soft assignments for multi-view diagnosis of machine faults
|
Li, Chuan
|
|
|
36 |
4 |
p. 2493-2507
|
artikel
|
| 32 |
Spatiotemporal analysis of powder bed fusion melt pool monitoring videos using deep learning
|
Williams, Richard J.
|
|
|
36 |
4 |
p. 2409-2422
|
artikel
|
| 33 |
Steel ball surface inspection using modified DRAEM and machine vision
|
Hsu, Chun-Chin
|
|
|
36 |
4 |
p. 2785-2801
|
artikel
|
| 34 |
Unbalance prediction method of aero-engine saddle rotor based on deep belief networks and GA-BP intelligent learning
|
Wu, Huilin
|
|
|
36 |
4 |
p. 2829-2840
|
artikel
|
| 35 |
Visual coating inspection framework via self-labeling and multi-stage deep learning strategies
|
Han, Changheon
|
|
|
36 |
4 |
p. 2461-2478
|
artikel
|
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