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Dehao Wu

Showing results (1-10 of 21) with videos related to

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IEEE Transactions on Cybernetics|April 4, 2023
Autocorrelation Feature Analysis for Dynamic Process Monitoring of Thermal Power PlantsXin Ma, Dehao Wu, Shaoxu Gao, et al.
IEEE Transactions on Neural Networks and Learning Systems|December 25, 2023
EaLDL: Element-Aware Lifelong Dictionary Learning for Multimode Process MonitoringKeke Huang, Hengxing Zhu, Dehao Wu, et al.
Fundamental Research|January 30, 2026
Low-carbon operation technologies and challenges for process industryChunhua Yang, Yishun Liu, Keke Huang, et al.
ISA Transactions|September 10, 2022
A transfer predictive control method based on inter-domain mapping learning with application to industrial roasting processHuiping Liang, Chunhua Yang, Keke Huang, et al.
IEEE Transactions on Cybernetics|January 12, 2026
A Diffusion-Based Unified Framework for Open-World Dynamic Wheel Recognition System Construction and Maintenance With Incomplete DataZeyi Liu, Weihua Gui, Keke Huang, et al.
ISA Transactions|June 7, 2024
Sparse Wasserstein stationary subspace analysis for fault detection and diagnosis of nonstationary industrial processesKeke Huang, Junxian Li, Dehao Wu, et al.
Frontiers in Oncology|May 12, 2020
A Retrospective Exploration of Targeted Maintenance Therapy in Advanced Colorectal Cancer: Based on the Background of Chinese Patient Assistance ProgramHanguang Hu, Xue Liu, Wen Cai, et al.
IEEE Transactions on Neural Networks and Learning Systems|April 5, 2023
Error-Triggered Adaptive Sparse Identification for Predictive Control and Its Application to Multiple Operating Conditions ProcessesKeke Huang, Zui Tao, Yishun Liu, et al.
Neural Networks : the Official Journal of the International Neural Network Society|November 28, 2022
LSTMED: An uneven dynamic process monitoring method based on LSTM and Autoencoder neural networkWenfeng Deng, Yuxuan Li, Keke Huang, et al.
International Journal of Medical Sciences|January 18, 2021
Factors Affecting the Outcomes of Patients with Malignant Rhabdoid Tumors: A Population-Based StudyWen Cai, Xue Liu, Weiting Ge, et al.
Pageof 3

Showing results (1-10 of 21) with videos related to

Sort By:
Pageof 3
IEEE Transactions on Cybernetics|April 4, 2023
Autocorrelation Feature Analysis for Dynamic Process Monitoring of Thermal Power PlantsXin Ma, Dehao Wu, Shaoxu Gao, et al.
IEEE Transactions on Neural Networks and Learning Systems|December 25, 2023
EaLDL: Element-Aware Lifelong Dictionary Learning for Multimode Process MonitoringKeke Huang, Hengxing Zhu, Dehao Wu, et al.
Fundamental Research|January 30, 2026
Low-carbon operation technologies and challenges for process industryChunhua Yang, Yishun Liu, Keke Huang, et al.
ISA Transactions|September 10, 2022
A transfer predictive control method based on inter-domain mapping learning with application to industrial roasting processHuiping Liang, Chunhua Yang, Keke Huang, et al.
IEEE Transactions on Cybernetics|January 12, 2026
A Diffusion-Based Unified Framework for Open-World Dynamic Wheel Recognition System Construction and Maintenance With Incomplete DataZeyi Liu, Weihua Gui, Keke Huang, et al.
ISA Transactions|June 7, 2024
Sparse Wasserstein stationary subspace analysis for fault detection and diagnosis of nonstationary industrial processesKeke Huang, Junxian Li, Dehao Wu, et al.
Frontiers in Oncology|May 12, 2020
A Retrospective Exploration of Targeted Maintenance Therapy in Advanced Colorectal Cancer: Based on the Background of Chinese Patient Assistance ProgramHanguang Hu, Xue Liu, Wen Cai, et al.
IEEE Transactions on Neural Networks and Learning Systems|April 5, 2023
Error-Triggered Adaptive Sparse Identification for Predictive Control and Its Application to Multiple Operating Conditions ProcessesKeke Huang, Zui Tao, Yishun Liu, et al.
Neural Networks : the Official Journal of the International Neural Network Society|November 28, 2022
LSTMED: An uneven dynamic process monitoring method based on LSTM and Autoencoder neural networkWenfeng Deng, Yuxuan Li, Keke Huang, et al.
International Journal of Medical Sciences|January 18, 2021
Factors Affecting the Outcomes of Patients with Malignant Rhabdoid Tumors: A Population-Based StudyWen Cai, Xue Liu, Weiting Ge, et al.
Pageof 3