Correction to: Smart scheduling of dynamic job shop based on discrete event simulation and deep reinforcement learning.
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- 2024
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- Correction Notice
Works matching IS 09565515 AND DT 2024 AND VI 35 AND IP 6
Results: 26
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A hierarchical ensemble causal structure learning approach for wafer manufacturing.
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- Journal of Intelligent Manufacturing, 2024, v. 35, n. 6, p. 2961, doi. 10.1007/s10845-023-02188-z
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- Article
3
A deep convolutional network combining layerwise images and defect parameter vectors for laser powder bed fusion process anomalies classification.
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- Journal of Intelligent Manufacturing, 2024, v. 35, n. 6, p. 2929, doi. 10.1007/s10845-023-02183-4
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- Article
4
Swarm intelligence-based framework for accelerated and optimized assembly line design in the automotive industry.
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- Journal of Intelligent Manufacturing, 2024, v. 35, n. 6, p. 2829, doi. 10.1007/s10845-023-02182-5
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5
Digital twin enhanced fault diagnosis reasoning for autoclave.
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- Journal of Intelligent Manufacturing, 2024, v. 35, n. 6, p. 2913, doi. 10.1007/s10845-023-02174-5
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- Article
6
Competing refurbishment in a supply chain with different selling modes.
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- Journal of Intelligent Manufacturing, 2024, v. 35, n. 6, p. 2845, doi. 10.1007/s10845-023-02180-7
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- Article
7
Smart nesting: estimating geometrical compatibility in the nesting problem using graph neural networks.
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- Journal of Intelligent Manufacturing, 2024, v. 35, n. 6, p. 2811, doi. 10.1007/s10845-023-02179-0
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- Article
8
Equipment electrocardiogram (EECG): making intelligent production line more robust.
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- Journal of Intelligent Manufacturing, 2024, v. 35, n. 6, p. 2867, doi. 10.1007/s10845-023-02177-2
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- Article
9
Image deep learning in fault diagnosis of mechanical equipment.
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- Journal of Intelligent Manufacturing, 2024, v. 35, n. 6, p. 2475, doi. 10.1007/s10845-023-02176-3
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- Article
10
A novel interpretable predictive model based on ensemble learning and differential evolution algorithm for surface roughness prediction in abrasive water jet polishing.
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- Journal of Intelligent Manufacturing, 2024, v. 35, n. 6, p. 2787, doi. 10.1007/s10845-023-02175-4
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- Article
11
Rapid simplification of 3D geometry model of mechanisms in the digital twins-driven manufacturing system design.
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- Journal of Intelligent Manufacturing, 2024, v. 35, n. 6, p. 2765, doi. 10.1007/s10845-023-02178-1
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- Article
12
Deviation compensation in LPBF series production via statistical predeformation and structural pattern analysis.
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- Journal of Intelligent Manufacturing, 2024, v. 35, n. 6, p. 2645, doi. 10.1007/s10845-023-02166-5
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- Article
13
Applying machine learning to wire arc additive manufacturing: a systematic data-driven literature review.
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- Journal of Intelligent Manufacturing, 2024, v. 35, n. 6, p. 2407, doi. 10.1007/s10845-023-02171-8
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- Article
14
In-situ porosity prediction in metal powder bed fusion additive manufacturing using spectral emissions: a prior-guided machine learning approach.
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- Journal of Intelligent Manufacturing, 2024, v. 35, n. 6, p. 2719, doi. 10.1007/s10845-023-02170-9
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- Article
15
An accuracy and performance-oriented accurate digital twin modeling method for precision microstructures.
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- Journal of Intelligent Manufacturing, 2024, v. 35, n. 6, p. 2887, doi. 10.1007/s10845-023-02169-2
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- Article
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Multi-stage few-shot micro-defect detection of patterned OLED panel using defect inpainting and multi-scale Siamese neural network.
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- Journal of Intelligent Manufacturing, 2024, v. 35, n. 6, p. 2653, doi. 10.1007/s10845-023-02168-3
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- Article
17
Digital Twin-based manufacturing system: a survey based on a novel reference model.
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- Journal of Intelligent Manufacturing, 2024, v. 35, n. 6, p. 2517, doi. 10.1007/s10845-023-02172-7
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- Article
18
Fault diagnosis and self-healing for smart manufacturing: a review.
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- Journal of Intelligent Manufacturing, 2024, v. 35, n. 6, p. 2441, doi. 10.1007/s10845-023-02165-6
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- Article
19
A real spatial–temporal attention denoising network for nugget quality detection in resistance spot weld.
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- Journal of Intelligent Manufacturing, 2024, v. 35, n. 6, p. 2743, doi. 10.1007/s10845-023-02160-x
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- Article
20
Tool wear prediction in milling CFRP with different fiber orientations based on multi-channel 1DCNN-LSTM.
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- Journal of Intelligent Manufacturing, 2024, v. 35, n. 6, p. 2547, doi. 10.1007/s10845-023-02164-7
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- Article
21
Evaluation of process planning in manufacturing by a neural network based on an energy definition of hopfield nets.
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- Journal of Intelligent Manufacturing, 2024, v. 35, n. 6, p. 2625, doi. 10.1007/s10845-023-02158-5
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- Article
22
An innovative integrated approach to automatic defect detection system of cell phone case manufacturing in an empirical implementation.
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- Journal of Intelligent Manufacturing, 2024, v. 35, n. 6, p. 2613, doi. 10.1007/s10845-023-02155-8
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- Article
23
Digitalization platform for data-driven quality management in multi-stage manufacturing systems.
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- Journal of Intelligent Manufacturing, 2024, v. 35, n. 6, p. 2699, doi. 10.1007/s10845-023-02162-9
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24
Smart scheduling of dynamic job shop based on discrete event simulation and deep reinforcement learning.
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- Journal of Intelligent Manufacturing, 2024, v. 35, n. 6, p. 2593, doi. 10.1007/s10845-023-02161-w
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- Publication type:
- Article
25
SSMSPC: self-supervised multivariate statistical in-process control in discrete manufacturing processes.
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- Journal of Intelligent Manufacturing, 2024, v. 35, n. 6, p. 2671, doi. 10.1007/s10845-023-02156-7
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- Article
26
Production quality prediction of cross-specification products using dynamic deep transfer learning network.
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- Journal of Intelligent Manufacturing, 2024, v. 35, n. 6, p. 2567, doi. 10.1007/s10845-023-02153-w
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- Article