Tool wear prediction based on XGBoost feature selection combined with PSO-BP network by Zhangwen Lin, Yankun Fan, Jinling Tan, Zhen Li, Peng Yang, Hua Wang, Weiwei Duan

Subjects: “…Tool wear prediction…”
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A novel integrated TDLAVOA-XGBoost model for tool wear prediction in lathe and milling operations by Zhongyuan Che, Chong Peng, Chi Wang, Jikun Wang

Subjects: “…Tool wear prediction…”
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Tool temperature prediction in end milling using voxel model-based simulation by Rei MATSUMURA, Isamu NISHIDA, Keiichi SHIRASE

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Multi-Sensor Heterogeneous Signal Fusion Transformer for Tool Wear Prediction by Ju Zhou, Xinyu Liu, Qianghua Liao, Tao Wang, Lin Wang, Pin Yang

Subjects: “…tool wear prediction…”
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An Innovative Study for Tool Wear Prediction Based on Stacked Sparse Autoencoder and Ensemble Learning Strategy by Zhaopeng He, Tielin Shi, Xu Chen

Subjects: “…tool wear prediction…”
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Research on Tool Wear Monitoring Technology Based on Variational Mode Decomposition and Back Propagation Neural Network Model by Kang Wang, Aimin Wang, Long Wu

Subjects: “…tool wear prediction…”
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AI-based tool wear prediction with feature selection from sound signal analysis by Viet Q. Vu, Tien-Ninh Bui, Minh-Quang Tran

Subjects: “…AI-based tool wear prediction…”
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Investigation of an Optimized Linear Regression Model with Nonlinear Error Compensation for Tool Wear Prediction by Lihua Shen, Baorui Du, He Fan, Hailong Yang

Subjects: “…tool wear prediction…”
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A Study of Tool Wear Prediction Based on Digital Twins by LIU Minghao, MAO Xinhui, XIA Wei, YUE Caixu, LIU Xianli

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