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ISA Transactions
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August 8, 2025
Wasserstein distance-enhanced variable edge-weight graph convolutional networks for industrial fault diagnosis
Zi-Yang Lu, Qun-Xiong Zhu, Yan-Lin He
ISA Transactions
|
August 2, 2021
Enhanced virtual sample generation based on manifold features: Applications to developing soft sensor using small data
Yan-Lin He, Qiang Hua, Qun-Xiong Zhu, et al.
ISA Transactions
|
June 27, 2015
A robust hybrid model integrating enhanced inputs based extreme learning machine with PLSR (PLSR-EIELM) and its application to intelligent measurement
Yan-Lin He, Zhi-Qiang Geng, Yuan Xu, et al.
IEEE Transactions on Neural Networks and Learning Systems
|
March 3, 2025
Industrial Data Imputation Based on Multiscale Spatiotemporal Information Embedding With Asymmetrical Transformer
Xing-Yuan Li, Yuan Xu, Qun-Xiong Zhu, et al.
ISA Transactions
|
October 19, 2020
Novel manifold learning based virtual sample generation for optimizing soft sensor with small data
Xiao-Han Zhang, Yuan Xu, Yan-Lin He, et al.
ISA Transactions
|
December 22, 2015
Hybrid robust model based on an improved functional link neural network integrating with partial least square (IFLNN-PLS) and its application to predicting key process variables
Yan-Lin He, Yuan Xu, Zhi-Qiang Geng, et al.
ISA Transactions
|
June 14, 2025
Novel semi-supervised sparse stacked autoencoder integrated with local linear embedding for industrial soft sensing
Yan-Lin He, Yu Jiang, Hui-Hui Gao, et al.
IEEE Transactions on Neural Networks and Learning Systems
|
March 11, 2026
Novel Meta Mode-Adaptive Multihead Attention for Multimode Industrial Process Soft Sensing
Yan-Lin He, Ying-Bo Zhao, Yuan Xu, et al.
ISA Transactions
|
September 5, 2022
Co-training based virtual sample generation for solving the small sample size problem in process industry
Qun-Xiong Zhu, Hong-Tao Zhang, Ye Tian, et al.
ISA Transactions
|
September 8, 2021
Novel double-layer bidirectional LSTM network with improved attention mechanism for predicting energy consumption
Yan-Lin He, Lei Chen, Yanlu Gao, et al.
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of 1
Search research articles
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Showing results (1-10 of 10) with videos related to
Sort By:
Page
of 1
ISA Transactions
|
August 8, 2025
Wasserstein distance-enhanced variable edge-weight graph convolutional networks for industrial fault diagnosis
Zi-Yang Lu, Qun-Xiong Zhu, Yan-Lin He
ISA Transactions
|
August 2, 2021
Enhanced virtual sample generation based on manifold features: Applications to developing soft sensor using small data
Yan-Lin He, Qiang Hua, Qun-Xiong Zhu, et al.
ISA Transactions
|
June 27, 2015
A robust hybrid model integrating enhanced inputs based extreme learning machine with PLSR (PLSR-EIELM) and its application to intelligent measurement
Yan-Lin He, Zhi-Qiang Geng, Yuan Xu, et al.
IEEE Transactions on Neural Networks and Learning Systems
|
March 3, 2025
Industrial Data Imputation Based on Multiscale Spatiotemporal Information Embedding With Asymmetrical Transformer
Xing-Yuan Li, Yuan Xu, Qun-Xiong Zhu, et al.
ISA Transactions
|
October 19, 2020
Novel manifold learning based virtual sample generation for optimizing soft sensor with small data
Xiao-Han Zhang, Yuan Xu, Yan-Lin He, et al.
ISA Transactions
|
December 22, 2015
Hybrid robust model based on an improved functional link neural network integrating with partial least square (IFLNN-PLS) and its application to predicting key process variables
Yan-Lin He, Yuan Xu, Zhi-Qiang Geng, et al.
ISA Transactions
|
June 14, 2025
Novel semi-supervised sparse stacked autoencoder integrated with local linear embedding for industrial soft sensing
Yan-Lin He, Yu Jiang, Hui-Hui Gao, et al.
IEEE Transactions on Neural Networks and Learning Systems
|
March 11, 2026
Novel Meta Mode-Adaptive Multihead Attention for Multimode Industrial Process Soft Sensing
Yan-Lin He, Ying-Bo Zhao, Yuan Xu, et al.
ISA Transactions
|
September 5, 2022
Co-training based virtual sample generation for solving the small sample size problem in process industry
Qun-Xiong Zhu, Hong-Tao Zhang, Ye Tian, et al.
ISA Transactions
|
September 8, 2021
Novel double-layer bidirectional LSTM network with improved attention mechanism for predicting energy consumption
Yan-Lin He, Lei Chen, Yanlu Gao, et al.
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of 1