Baohai Wu

According to our database, Baohai Wu authored at least 18 papers between 2008 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Hybrid Swin Transformer-CNN Model for Pore-Crack Structure Identification.

Huaiyuan Li, Hui Li, Chuang Li, Baohai Wu, Jinghuai Gao

IEEE Trans. Geosci. Remote. Sens., 2024

Multidimensional Petrophysical Seismic Inversion Based on Knowledge-Driven Semi-Supervised Deep Learning.

Hongling Chen, Baohai Wu, Mauricio D. Sacchi, Zhiqiang Wang, Jinghuai Gao

IEEE Trans. Geosci. Remote. Sens., 2024

Transformer and Convolutional Hybrid Neural Network for Seismic Impedance Inversion.

Chunyu Ning, Bangyu Wu, Baohai Wu

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

Intelligent Identification First Arrivals of Acoustic Logging Curves Using Dual Attention PhaseNet.

Li Zhu, Hui Li, Li Ma, Jianjun Li, Baohai Wu, Jinghuai Gao

IEEE Geosci. Remote. Sens. Lett., 2024

2023

A novel process planning method of 3 + 2-axis additive manufacturing for aero-engine blade based on machine learning.

Chenglin Li, Baohai Wu, Zhao Zhang, Ying Zhang

J. Intell. Manuf., April, 2023

2022

Seismic Impedance Inversion Based on Residual Attention Network.

Bangyu Wu, Qiao Xie, Baohai Wu

IEEE Trans. Geosci. Remote. Sens., 2022

CNN-Based Network Application for Petrophysical Parameter Inversion: Sensitivity Analysis of Input-Output Parameters and Network Architecture.

Hui Li, Bo Qiu, Yonghao Zhang, Baohai Wu, Yang Wang, Naihao Liu, Jinghuai Gao

IEEE Trans. Geosci. Remote. Sens., 2022

Elastic Properties Estimation From Prestack Seismic Data Using GGCNNs and Application on Tight Sandstone Reservoir Characterization.

Hui Li, Jing Lin, Baohai Wu, Jinghuai Gao, Naihao Liu

IEEE Trans. Geosci. Remote. Sens., 2022

2020

Geometric model reconstruction and CNC machining for damaged blade repair.

Baohai Wu, Hai Zheng, Jian Wang, Ying Zhang

Int. J. Comput. Integr. Manuf., 2020

Energy Consumption Modeling for EDM Based on Material Removal Rate.

Mo Yang, Dinghua Zhang, Baohai Wu, Yunpeng Zhang

IEEE Access, 2020

2019

A novel in-process machining deformation perception and control method^*.

Zhongxi Zhang, Dinghua Zhang, Ming Luo, Baohai Wu

Proceedings of the IEEE/ASME International Conference on Advanced Intelligent Mechatronics, 2019

2017

Tool Wear Condition Monitoring Based on Wavelet Packet Analysis and RBF Neural Network.

Tao Li, Dinghua Zhang, Ming Luo, Baohai Wu

Proceedings of the Intelligent Robotics and Applications - 10th International Conference, 2017

2015

An approach for machining allowance optimization of complex parts with integrated structure.

Ying Zhang, Dinghua Zhang, Baohai Wu

J. Comput. Des. Eng., 2015

Adaptive location of repaired blade for multi-axis milling.

Baohai Wu, Jian Wang, Ying Zhang, Ming Luo

J. Comput. Des. Eng., 2015

An adaptive approach to error compensation by on-machine measurement for precision machining of thin-walled blade.

Ying Zhang, Dinghua Zhang, Baohai Wu

Proceedings of the IEEE International Conference on Advanced Intelligent Mechatronics, 2015

Damping support fixture for vibration suppression in milling of thin-walled casing.

Ming Luo, Xiaofan Zhang, Baohai Wu

Proceedings of the IEEE International Conference on Advanced Intelligent Mechatronics, 2015

2014

Tool flank wear recognition based on the variation of milling force vector in end milling.

Yongfeng Hou, Dinghua Zhang, Ming Luo, Baohai Wu

Proceedings of the IEEE/ASME International Conference on Advanced Intelligent Mechatronics, 2014

2008

Toolpath Generation for Four-Axis Rough Milling of Sculptured Surface Turbine Blade.

Ming Luo, Baohai Wu, Dinghua Zhang, Shan Li, Ying Zhang

Proceedings of the Intelligent Robotics and Applications, First International Conference, 2008