Yongming Han
Orcid: 0000-0003-3209-725X
According to our database1,
Yongming Han
authored at least 46 papers
between 2005 and 2024.
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Bibliography
2024
Novel Long Short-Term Memory Model Based on the Attention Mechanism for the Leakage Detection of Water Supply Processes.
IEEE Trans. Syst. Man Cybern. Syst., May, 2024
Graph Structure Change-Based Anomaly Detection in Multivariate Time Series of Industrial Processes.
IEEE Trans. Ind. Informatics, April, 2024
Intelligent Small Sample Defect Detection of Concrete Surface Using Novel Deep Learning Integrating Improved YOLOv5.
IEEE CAA J. Autom. Sinica, February, 2024
Novel spatiotemporal graph attention model for production prediction and energy structure optimization of propylene production processes.
Comput. Chem. Eng., February, 2024
2023
A Novel Wrapped Feature Selection Framework for Developing Power System Intrusion Detection Based on Machine Learning Methods.
IEEE Trans. Syst. Man Cybern. Syst., November, 2023
IEEE Trans. Ind. Informatics, November, 2023
Expert Syst. Appl., November, 2023
Novel Feature-Disentangled Autoencoder Integrating Residual Network for Industrial Soft Sensor.
IEEE Trans. Ind. Informatics, October, 2023
Intelligent Small Sample Defect Detection of Water Walls in Power Plants Using Novel Deep Learning Integrating Deep Convolutional GAN.
IEEE Trans. Ind. Informatics, June, 2023
Temporal Chain Network With Intuitive Attention Mechanism for Long-Term Series Forecasting.
IEEE Trans. Instrum. Meas., 2023
Robust Low-Rank Clustering Contrastive Learning Integrating Transformer for Noisy Industrial Soft Sensors.
IEEE Trans. Instrum. Meas., 2023
A novel pedal musculoskeletal response based on differential spatio-temporal LSTM for human activity recognition.
Knowl. Based Syst., 2023
Information entropy-based adaptive parameter assignment method for dual control neural networks.
Proceedings of the 2023 4th International Conference on Computing, 2023
2022
Novel Transformer Based on Gated Convolutional Neural Network for Dynamic Soft Sensor Modeling of Industrial Processes.
IEEE Trans. Ind. Informatics, 2022
Short-Time Wavelet Entropy Integrating Improved LSTM for Fault Diagnosis of Modular Multilevel Converter.
IEEE Trans. Cybern., 2022
Inf. Sci., 2022
Expert Syst. Appl., 2022
Risk prediction model for food safety based on improved random forest integrating virtual sample.
Eng. Appl. Artif. Intell., 2022
2021
A Novel Probability Confidence CNN Model and Its Application in Mechanical Fault Diagnosis.
IEEE Trans. Instrum. Meas., 2021
Novel Trajectory Representation Learning Method and Its Application to Trajectory-User Linking.
IEEE Trans. Instrum. Meas., 2021
Neurocomputing, 2021
Eng. Appl. Artif. Intell., 2021
A Novel Matrix Completion Model Based on the Multi-Layer Perceptron Integrating Kernel Regularization.
IEEE Access, 2021
Proceedings of the International Joint Conference on Neural Networks, 2021
2020
Semantic relation extraction using sequential and tree-structured LSTM with attention.
Inf. Sci., 2020
IET Image Process., 2020
2019
A pattern recognition modeling approach based on the intelligent ensemble classifier: Application to identification and appraisal of water-flooded layers.
J. Syst. Control. Eng., 2019
Energy Efficiency Recognition and Diagnosis of Complex Industrial Processes using Multivariate Nonlinear Regression Method.
Proceedings of the CAA Symposium on Fault Detection, 2019
Proceedings of the 12th Asian Control Conference, 2019
Fault Diagnosis of Chemical Processes Based on a novel Adaptive Kernel Principal Component Analysis.
Proceedings of the 12th Asian Control Conference, 2019
2018
Multi-Frequency Decomposition with Fully Convolutional Neural Network for Time Series Classification.
Proceedings of the 24th International Conference on Pattern Recognition, 2018
Proceedings of the 24th International Conference on Pattern Recognition, 2018
Energy modeling and efficiency optimization using a novel extreme learning fuzzy logic network.
Proceedings of the 5th International Conference on Control, 2018
A novel nonlinear virtual sample generation approach integrating extreme learning machine with noise injection for enhancing energy modeling and analysis on small data: Application to petrochemical industries.
Proceedings of the 5th International Conference on Control, 2018
Proceedings of the 5th International Conference on Control, 2018
2017
Energy Efficiency Prediction Based on PCA-FRBF Model: A Case Study of Ethylene Industries.
IEEE Trans. Syst. Man Cybern. Syst., 2017
Energy consumption analysis and evaluation of petrochemical industries using an improved fuzzy analytic hierarchy process approach.
J. Intell. Fuzzy Syst., 2017
A new Self-Organizing Extreme Learning Machine soft sensor model and its applications in complicated chemical processes.
Eng. Appl. Artif. Intell., 2017
An enhanced extreme learning machine with a double parallel structure and its application to modeling complex chemical processes.
Proceedings of the 11th Asian Control Conference, 2017
2016
IEEE Trans. Engineering Management, 2016
2015
Energy efficiency analysis based on DEA integrated ISM: A case study for Chinese ethylene industries.
Eng. Appl. Artif. Intell., 2015
2010
Data Fusion-Based Extraction Method of Energy Consumption Index for the Ethylene Industry.
Proceedings of the Life System Modeling and Intelligent Computing, 2010
2005
Optimizing financial budget for software implementation based on the development effort and cost function.
Adv. Eng. Softw., 2005