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Blob analyzation-based template matching algorithm for LED chip localization

International journal of advanced manufacturing technology, 2017-10, Vol.93 (1-4), p.55-63

2017

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A novel method for machine tool structure condition monitoring based on knowledge graph

International journal of advanced manufacturing technology, 2022-05, Vol.120 (1-2), p.563-582

2022

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Online chatter detection in milling process based on VMD and multiscale entropy

International journal of advanced manufacturing technology, 2019-12, Vol.105 (12), p.5009-5022

2019

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An image inpainting-based data augmentation method for improved sclerosed glomerular identification performance with the segmentation model EfficientNetB3-Unet

Scientific reports, 2024-01, Vol.14 (1), p.1033-1033, Article 1033

2024

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Chatter stability in ultra-precision fly cutting considering tool wear effect

International journal of advanced manufacturing technology, 2019-07, Vol.103 (1-4), p.1067-1078

2019

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New approach based on operational strain modal analysis to identify dynamical properties of the high-speed reciprocating operation mechanism

Journal of low frequency noise, vibration, and active control, 2019-12, Vol.38 (3-4), p.1345-1362

2019

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Research on the Modelling and Development of Flexibility in Production System Design Phase Driven by Digital Twins

Applied sciences, 2022-03, Vol.12 (5), p.2537

2022

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Analysis of the stiffness sensitivity of a sorting arm mechanism based on a generalized modal mass distributing matrix

Advances in mechanical engineering, 2018-11, Vol.10 (11), p.168781401881063

2018

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Defect attention template generation cycleGAN for weakly supervised surface defect segmentation

Pattern recognition, 2022-03, Vol.123, p.108396, Article 108396

2022

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A fast template matching method for LED chip Localization

MATEC Web of Conferences, 2015, Vol.34, p.4002

2015

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A novel online chatter detection method in milling process based on multiscale entropy and gradient tree boosting

Mechanical systems and signal processing, 2020-01, Vol.135, p.106385, Article 106385

2020

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Tool Wear Prediction via Multidimensional Stacked Sparse Autoencoders With Feature Fusion

IEEE transactions on industrial informatics, 2020-08, Vol.16 (8), p.5150-5159

2020

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Multidimensional information model-driven digital twin for the intelligent evaluation of production capacity

International journal of advanced manufacturing technology, 2024-07, Vol.133 (3-4), p.1621-1638

2024

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Bayesian uncertainty quantification and propagation for prediction of milling stability lobe

Mechanical systems and signal processing, 2020-04, Vol.138, p.106532, Article 106532

2020

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Semi-supervised graph convolutional network to predict position- and speed-dependent tool tip dynamics with limited labeled data

Mechanical systems and signal processing, 2022-02, Vol.164, p.108225, Article 108225

2022

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A novel method for signal labeling and precise location in a variable parameter milling process based on the stacked-BiLSTM-CRF and FLOSS

Advanced engineering informatics, 2023-01, Vol.55, p.101850, Article 101850

2023

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Adaptive digital twin for multi-variety production: a knowledge model-driven modeling approach with process information digital model interaction support

International journal of advanced manufacturing technology, 2024-08, Vol.133 (9-10), p.4501-4523

2024

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Decoupled interpretable robust domain generalization networks: A fault diagnosis approach across bearings, working conditions, and artificial-to-real scenarios

Advanced engineering informatics, 2024-08, Vol.61, p.102445, Article 102445

2024

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Cutting chatter recognition based on spectrum characteristics and extreme gradient boosting

International journal of advanced manufacturing technology, 2024-04, Vol.131 (12), p.6115-6135

2024

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Influence and error transfer in assembly process of geometric errors of a translational axis on volumetric error in machine tools

Measurement : journal of the International Measurement Confederation, 2019-07, Vol.140, p.450-461

2019

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Correction to: Cutting chatter recognition based on spectrum characteristics and extreme gradient boosting

International journal of advanced manufacturing technology, 2024-04, Vol.131 (12), p.6137-6137

2024

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Multi-agent reinforcement learning method for cutting parameters optimization based on simulation and experiment dual drive environment

Mechanical systems and signal processing, 2024-07, Vol.216, p.111473, Article 111473

2024

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A novel milling parameter optimization method based on improved deep reinforcement learning considering machining cost

Journal of manufacturing processes, 2022-12, Vol.84, p.1362-1375

2022

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Multi-agent evolution reinforcement learning method for machining parameters optimization based on bootstrap aggregating graph attention network simulated environment

Journal of manufacturing systems, 2023-04, Vol.67, p.424-438

2023

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Corrigendum to “Bayesian uncertainty quantification and propagation for prediction of milling stability lobe” [Mech. Syst. Signal Process. 138 (2020) 106532]

Mechanical systems and signal processing, 2022-01, Vol.163, p.108027, Article 108027

2022

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Blob analyzation-based template matching algorithm for LED chip localization

A novel method for machine tool structure condition monitoring based on knowledge graph

Online chatter detection in milling process based on VMD and multiscale entropy

An image inpainting-based data augmentation method for improved sclerosed glomerular identification performance with the segmentation model EfficientNetB3-Unet

Chatter stability in ultra-precision fly cutting considering tool wear effect

New approach based on operational strain modal analysis to identify dynamical properties of the high-speed reciprocating operation mechanism

Research on the Modelling and Development of Flexibility in Production System Design Phase Driven by Digital Twins

Analysis of the stiffness sensitivity of a sorting arm mechanism based on a generalized modal mass distributing matrix

Defect attention template generation cycleGAN for weakly supervised surface defect segmentation

A fast template matching method for LED chip Localization

A novel online chatter detection method in milling process based on multiscale entropy and gradient tree boosting

Tool Wear Prediction via Multidimensional Stacked Sparse Autoencoders With Feature Fusion

Multidimensional information model-driven digital twin for the intelligent evaluation of production capacity

Bayesian uncertainty quantification and propagation for prediction of milling stability lobe

Semi-supervised graph convolutional network to predict position- and speed-dependent tool tip dynamics with limited labeled data

A novel method for signal labeling and precise location in a variable parameter milling process based on the stacked-BiLSTM-CRF and FLOSS

Adaptive digital twin for multi-variety production: a knowledge model-driven modeling approach with process information digital model interaction support

Decoupled interpretable robust domain generalization networks: A fault diagnosis approach across bearings, working conditions, and artificial-to-real scenarios

Cutting chatter recognition based on spectrum characteristics and extreme gradient boosting

Influence and error transfer in assembly process of geometric errors of a translational axis on volumetric error in machine tools

Correction to: Cutting chatter recognition based on spectrum characteristics and extreme gradient boosting

Multi-agent reinforcement learning method for cutting parameters optimization based on simulation and experiment dual drive environment

A novel milling parameter optimization method based on improved deep reinforcement learning considering machining cost

Multi-agent evolution reinforcement learning method for machining parameters optimization based on bootstrap aggregating graph attention network simulated environment

Corrigendum to “Bayesian uncertainty quantification and propagation for prediction of milling stability lobe” [Mech. Syst. Signal Process. 138 (2020) 106532]

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