Zhiqiang Geng
Orcid: 0000-0003-0647-3792
According to our database1,
Zhiqiang Geng
authored at least 55 papers
between 2009 and 2024.
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Bibliography
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
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
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
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
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
The numerical method for the optimal supporting position and related optimal control for the catalytic reaction system.
Clust. Comput., 2017
A novel EFSM-based ELM double-faults identification approach and its application to non-linear processes.
Proceedings of the 11th Asian Control Conference, 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
Cost estimation method based on parallel Monte Carlo simulation and market investigation for engineering construction project.
Clust. Comput., 2016
2015
Positive and negative correlation input attributes oriented subnets based double parallel extreme learning machine (PNIAOS-DPELM) and its application to monitoring chemical processes in steady state.
Neurocomputing, 2015
A data-attribute-space-oriented double parallel (DASODP) structure for enhancing extreme learning machine: Applications to regression datasets.
Eng. Appl. Artif. Intell., 2015
Energy efficiency analysis based on DEA integrated ISM: A case study for Chinese ethylene industries.
Eng. Appl. Artif. Intell., 2015
2014
A hierarchical structure of extreme learning machine (HELM) for high-dimensional datasets with noise.
Neurocomputing, 2014
A Multiswarm Competitive Particle Swarm Algorithm for Optimization Control of an ethylene cracking Furnace.
Appl. Artif. Intell., 2014
2013
A piecewise linear chaotic map and sequential quadratic programming based robust hybrid particle swarm optimization.
Inf. Sci., 2013
2012
J. Comput., 2012
Proceedings of the Artificial Intelligence and Computational Intelligence, 2012
2011
Hierarchy probability cost analysis model incorporate MAIMS principle for EPC project cost estimation.
Expert Syst. Appl., 2011
2010
Data Fusion-Based Extraction Method of Energy Consumption Index for the Ethylene Industry.
Proceedings of the Life System Modeling and Intelligent Computing, 2010
Integrated MMPSO and RBFNN for optimal control of cracking depth in ethylene cracking furnace.
Proceedings of the Sixth International Conference on Natural Computation, 2010
Proceedings of the Seventh International Conference on Fuzzy Systems and Knowledge Discovery, 2010
2009
Expert Syst. Appl., 2009