16 results on '"He, Songping"'
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2. Adaptive digital twin for multi-variety production: a knowledge model-driven modeling approach with process information digital model interaction support
3. Cutting chatter recognition based on spectrum characteristics and extreme gradient boosting
4. Correction to: Cutting chatter recognition based on spectrum characteristics and extreme gradient boosting
5. Decoupled interpretable robust domain generalization networks: A fault diagnosis approach across bearings, working conditions, and artificial-to-real scenarios
6. Multi-agent reinforcement learning method for cutting parameters optimization based on simulation and experiment dual drive environment
7. A novel deep learning method with partly explainable: Intelligent milling tool wear prediction model based on transformer informed physics
8. Multi-agent evolution reinforcement learning method for machining parameters optimization based on bootstrap aggregating graph attention network simulated environment
9. A novel method for signal labeling and precise location in a variable parameter milling process based on the stacked-BiLSTM-CRF and FLOSS
10. A novel method for machine tool structure condition monitoring based on knowledge graph
11. A novel milling parameter optimization method based on improved deep reinforcement learning considering machining cost
12. Defect attention template generation cycleGAN for weakly supervised surface defect segmentation
13. Semi-supervised graph convolutional network to predict position- and speed-dependent tool tip dynamics with limited labeled data
14. An image inpainting-based data augmentation method for improved sclerosed glomerular identification performance with the segmentation model EfficientNetB3-Unet
15. Corrigendum to “Bayesian uncertainty quantification and propagation for prediction of milling stability lobe” [Mech. Syst. Signal Process. 138 (2020) 106532]
16. Research on the Modelling and Development of Flexibility in Production System Design Phase Driven by Digital Twins
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