12 results on '"He, Songping"'
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2. Multi-agent reinforcement learning method for cutting parameters optimization based on simulation and experiment dual drive environment
3. A novel deep learning method with partly explainable: Intelligent milling tool wear prediction model based on transformer informed physics
4. Multi-agent evolution reinforcement learning method for machining parameters optimization based on bootstrap aggregating graph attention network simulated environment
5. A novel method for signal labeling and precise location in a variable parameter milling process based on the stacked-BiLSTM-CRF and FLOSS
6. A novel milling parameter optimization method based on improved deep reinforcement learning considering machining cost
7. Defect attention template generation cycleGAN for weakly supervised surface defect segmentation
8. Semi-supervised graph convolutional network to predict position- and speed-dependent tool tip dynamics with limited labeled data
9. Bayesian uncertainty quantification and propagation for prediction of milling stability lobe
10. A novel online chatter detection method in milling process based on multiscale entropy and gradient tree boosting
11. A thermal error model for large machine tools that considers environmental thermal hysteresis effects
12. Corrigendum to “Bayesian uncertainty quantification and propagation for prediction of milling stability lobe” [Mech. Syst. Signal Process. 138 (2020) 106532]
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