Hai-Dong Yang

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 15

Top Topics

Electricity Consumption

Parameter Identification

Parallel Machine Scheduling Problem

Defect Detection

Top Venues

IEEE Trans. Ind. Informatics

IEEE Trans. Instrum. Meas.

IEEE Trans. Ind. Electron.

IEEE Trans. Syst. Man Cybern. Syst.

Publications

Lei Lei, Han-Xiong Li, Hai-Dong Yang
Reliable and Lightweight Adaptive Convolution Network for PCB Surface Defect Detection. IEEE Trans. Instrum. Meas. 73 (2024)
Lei Lei, Han-Xiong Li, Hai-Dong Yang
Multiscale Convolution-Based Probabilistic Classification for Detecting Bare PCB Defects. IEEE Trans. Instrum. Meas. 72 (2023)
Lei Lei, Han-Xiong Li, Hai-Dong Yang
Adaptive convolution confidence sieve learning for surface defect detection under process uncertainty. Inf. Sci. 640 (2023)
Tao Yu, Hai-Dong Yang
Simulation of Running Crowd Dynamics: Potential-Based Cellular Automata Model. IEEE Access 11 (2023)
Yu Zhou, Bing-Chuan Wang, Han-Xiong Li, Hai-Dong Yang, Zhi Liu
A Surrogate-Assisted Teaching-Learning-Based Optimization for Parameter Identification of the Battery Model. IEEE Trans. Ind. Informatics 17 (9) (2021)
Yun Feng, Han-Xiong Li, Hai-Dong Yang
Abnormal Source Identification for Parabolic Distributed Parameter Systems. IEEE Trans. Syst. Man Cybern. Syst. 51 (9) (2021)
Li-Qun Chen, Han-Xiong Li, Hai-Dong Yang
Dimension Embedded Basis Function for Spatiotemporal Modeling of Distributed Parameter System. IEEE Trans. Ind. Informatics 16 (9) (2020)
Bing-Chuan Wang, Han-Xiong Li, Hai-Dong Yang
Spatial Correlation-Based Incremental Learning for Spatiotemporal Modeling of Battery Thermal Process. IEEE Trans. Ind. Electron. 67 (4) (2020)
Guo-Sheng Liu, Jin-Jin Li, Hai-Dong Yang, George Q. Huang
Approximate and branch-and-bound algorithms for the parallel machine scheduling problem with a single server. J. Oper. Res. Soc. 70 (9) (2019)
Kang-Kang Xu, Han-Xiong Li, Hai-Dong Yang
Kernel-Based Random Vector Functional-Link Network for Fast Learning of Spatiotemporal Dynamic Processes. IEEE Trans. Syst. Man Cybern. Syst. 49 (5) (2019)
Kang-Kang Xu, Hai-Dong Yang, Cheng-Jiu Zhu
A novel extreme learning Machine-based Hammerstein-Wiener model for complex nonlinear industrial processes. Neurocomputing 358 (2019)
Xianbing Meng, Han-Xiong Li, Hai-Dong Yang
Evolutionary Design of Spatio-Temporal Learning Model for Thermal Distribution in Lithium-Ion Batteries. IEEE Trans. Ind. Informatics 15 (5) (2019)
Kang-Kang Xu, Han-Xiong Li, Hai-Dong Yang
Local-Properties-Embedding-Based Nonlinear Spatiotemporal Modeling for Lithium-Ion Battery Thermal Process. IEEE Trans. Ind. Electron. 65 (12) (2018)
Peng Liang, Hai-Dong Yang, Wen-Si Chen, Si-Yuan Xiao, Zhao-Ze Lan
Transfer learning for aluminium extrusion electricity consumption anomaly detection via deep neural networks. Int. J. Comput. Integr. Manuf. 31 (4-5) (2018)
Guo-Sheng Liu, Hai-Dong Yang, Ming-Bao Cheng
A three-stage decomposition approach for energy-aware scheduling with processing-time-dependent product quality. Int. J. Prod. Res. 55 (11) (2017)
Gabriel Yik Keung, Bo Li, Qian Zhang, Hai-Dong Yang
The Target Tracking in Mobile Sensor Networks. GLOBECOM (2011)
Chunsheng Li, Yaonan Wang, Hai-Dong Yang
Combining Fuzzy partitions Using Fuzzy Majority Vote and KNN. J. Comput. 5 (5) (2010)