Daoyuan Liu

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 9

Top Topics

Transfer Learning

Multidimensional Data

Model Validation

Top Venues

Int. J. Prod. Res.

J. Comput. Inf. Sci. Eng.

IEEE Internet Things J.

IEEE Trans. Instrum. Meas.

Publications

Daoyuan Liu, Yu Guo, Jian Xie, Hanpeng Gao, Shaohua Huang
Real-Time Quality Inspection Based on Transfer Learning and Feature Clustering for Wave Soldering. IEEE Trans. Instrum. Meas. 73 (2024)
Shengbo Wang, Yu Guo, Shaohua Huang, Daoyuan Liu, Pengzhou Tang, Litong Zhang
A spatial-temporal feature fusion network for order remaining completion time prediction in discrete manufacturing workshop. Int. J. Prod. Res. 62 (10) (2024)
Hanpeng Gao, Yu Guo, Shaohua Huang, Jian Xie, Daoyuan Liu, Tao Wu, Xu Tian
An Online Quality Detection Method With Ensemble Learning on Imbalance Data for Wave Soldering. J. Comput. Inf. Sci. Eng. 24 (2) (2024)
Litong Zhang, Yu Guo, Weiwei Qian, Weili Wang, Daoyuan Liu, Sai Liu
Modelling and online training method for digital twin workshop. Int. J. Prod. Res. 61 (12) (2023)
Daoyuan Liu, Yu Guo, Shaohua Huang, Weiguang Fang, Xu Tian
A stacking denoising auto-encoder with sample weight approach for order remaining completion time prediction in complex discrete manufacturing workshop. Int. J. Prod. Res. 61 (10) (2023)
Daoyuan Liu, Yu Guo, Shaohua Huang, Shengbo Wang, Tao Wu
Dynamic production bottleneck prediction using a data-driven method in discrete manufacturing system. Adv. Eng. Informatics 58 (2023)
Shaohua Huang, Yu Guo, Nengjun Yang, Shanshan Zha, Daoyuan Liu, Weiguang Fang
A weighted fuzzy C-means clustering method with density peak for anomaly detection in IoT-enabled manufacturing process. J. Intell. Manuf. 32 (7) (2021)
Weiwei Qian, Yu Guo, Kai Cui, Pengxing Wu, Weiguang Fang, Daoyuan Liu
Multidimensional Data Modeling and Model Validation for Digital Twin Workshop. J. Comput. Inf. Sci. Eng. 21 (3) (2021)
Shaohua Huang, Yu Guo, Daoyuan Liu, Shanshan Zha, Weiguang Fang
A Two-Stage Transfer Learning-Based Deep Learning Approach for Production Progress Prediction in IoT-Enabled Manufacturing. IEEE Internet Things J. 6 (6) (2019)