Jie Zhang

Publication Activity (10 Years)

Years Active: 1988-2024
Publications (10 Years): 48

Top Topics

Human Activity Recognition

Covariance Matrix

Fermentation Process

Top Venues

Comput. Chem. Eng.

Publications

Samuel Sells, Jie Zhang
Hybrid Mechanistic Neural Network Modelling of the Degree of Cure of Polymer Composite. ICAART (2) (2024)
Dehbiya Gherdaoui, Madiha Melha Yahoum, Selma Toumi, Hichem Tahraoui, Fatma Bouazza, Sonia Lefnaoui, Abdelhamid Zeghdaoui, Abdeltif Amrane, Bassem Jaouadi, Jie Zhang
The Effect of the Stationary Phase on Resolution in the HPLC-Based Separation of Racemic Mixtures Using Vancomycin as a Chiral Selector: A Case Study with Profen Nonsteroidal Anti-Inflammatory Drugs. Symmetry 15 (12) (2023)
Fahad Al Kalbani, Jie Zhang
Inferential Composition Control of a Distillation Column Using Active Disturbance Rejection Control with Soft Sensors. Sensors 23 (2) (2023)
Ruosen Qi, Jie Zhang, Katy Spencer
A Review on Data-Driven Condition Monitoring of Industrial Equipment. Algorithms 16 (1) (2023)
Danny Hartanto Djarum, Zainal Ahmad, Jie Zhang
Reduced Bayesian Optimized Stacked Regressor (RBOSR): A highly efficient stacked approach for improved air pollution prediction. Appl. Soft Comput. 144 (2023)
Qiangda Yang, Huan Huang, Jie Zhang, Hongbo Gao, Peng Liu
A collaborative cuckoo search algorithm with modified operation mode. Eng. Appl. Artif. Intell. 121 (2023)
Yiming Tian, Jie Zhang, Qi Chen, Zuojun Liu
A Novel Selective Ensemble Learning Method for Smartphone Sensor-Based Human Activity Recognition Based on Hybrid Diversity Enhancement and Improved Binary Glowworm Swarm Optimization. IEEE Access 10 (2022)
Yiming Tian, Jie Zhang, Qi Chen, Shuping Hou, Li Xiao
Group Decision Making-Based Fusion for Human Activity Recognition in Body Sensor Networks. Sensors 22 (21) (2022)
Qiangda Yang, Yichuan Fu, Jie Zhang
Molten steel temperature prediction using a hybrid model based on information interaction-enhanced cuckoo search. Neural Comput. Appl. 33 (12) (2021)
Shengkai Wang, Jie Zhang
A Fault Diagnosis Strategy based on Qualitative Trend Analysis Integrating Andrews Plot for Industrial Processes. ICIT (2021)
Yiming Tian, Jie Zhang, Lipeng Li, Zuojun Liu
A Novel Sensor-Based Human Activity Recognition Method Based on Hybrid Feature Selection and Combinational Optimization. IEEE Access 9 (2021)
Jie Zhang, Haofeng Zhang, Bingzhang Hu
Dual Prototype Relaxation for Generalized Zero Shot Learning. ICME (2021)
Jeremiah Corrigan, Jie Zhang
Integrating dynamic slow feature analysis with neural networks for enhancing soft sensor performance. Comput. Chem. Eng. 139 (2020)
Ruosen Qi, Jie Zhang
Data-driven fault diagnosis and prognosis for process faults using principal component analysis and extreme learning machine. INDIN (2020)
Fanglin Mu, Yu Gu, Jie Zhang, Lei Zhang
Milk Source Identification and Milk Quality Estimation Using an Electronic Nose and Machine Learning Techniques. Sensors 20 (15) (2020)
Kazeem Alli, Jie Zhang
Adaptive Modelling of Fed-batch Processes with Extreme Learning Machine and Recursive Least Square Technique. ICAART (2) (2020)
Kai Liu, Jie Zhang
Nonlinear process modelling using echo state networks optimised by covariance matrix adaption evolutionary strategy. Comput. Chem. Eng. 135 (2020)
Changhao Zhu, Jie Zhang
Developing Soft Sensors for Polymer Melt Index in an Industrial Polymerization Process Using Deep Belief Networks. Int. J. Autom. Comput. 17 (1) (2020)
Shengkai Wang, Jie Zhang
Improved Process Fault Diagnosis by Using Neural Networks with Andrews Plot and Autoencoder. INDIN (2020)
Xinxin Li, Zuojun Liu, Xinzhi Gao, Jie Zhang
Bicycling Phase Recognition for Lower Limb Amputees Using Support Vector Machine Optimized by Particle Swarm Optimization. Sensors 20 (22) (2020)
Peng Zhang, Jie Zhang, Bingzhang Hu, Yang Long
Optimization control of a fed-batch process using an improved reinforcement learning algorithm. CCTA (2019)
Ruosen Qi, Jie Zhang
Process Fault Detection and Reconstruction by Principal Component Analysis. MMAR (2019)
Peng Zhang, Jie Zhang, Yang Long, Bingzhang Hu
An improved reinforcement learning control strategy for batch processes. MMAR (2019)
Shengkai Wang, Jie Zhang
Enhanced Process Fault Diagnosis through Integrating Neural Networks and Andrews Plot. MMAR (2019)
Yiming Tian, Jie Zhang, Lingling Chen, Yanli Geng, Xitai Wang
Single Wearable Accelerometer-Based Human Activity Recognition via Kernel Discriminant Analysis and QPSO-KELM Classifier. IEEE Access 7 (2019)
Qiangda Yang, Jie Zhang, Zhi Yi
Predicting molten steel endpoint temperature using a feature-weighted model optimized by mutual learning cuckoo search. Appl. Soft Comput. 83 (2019)
Shengkai Wang, Jie Zhang
An Intelligent Process Fault Diagnosis System Integrating Andrews Plot, PCA and Neural Networks. ICAC (2019)
Changhao Zhu, Jie Zhang
Developing Robust Nonlinear Models through Bootstrap Aggregated Deep Belief Networks. ICAC (2019)
Jeremiah Corrigan, Jie Zhang
Nonlinear Data-driven Process Modelling using Slow Feature Analysis and Neural Networks. ICINCO (1) (2019)
Yiming Tian, Jie Zhang, Lingling Chen, Yanli Geng, Xitai Wang
Selective Ensemble Based on Extreme Learning Machine for Sensor-Based Human Activity Recognition. Sensors 19 (16) (2019)
Changhao Zhu, Jie Zhang
Inferential Estimation of Polymer Melt Index Using Deep Belief Networks. ICAC (2018)
Yiming Tian, Xitai Wang, Peng Yang, Jie Wang, Jie Zhang
A Single Accelerometer-based Robust Human Activity Recognition via Wavelet Features and Ensemble Feature Selection. ICAC (2018)
Xiangfeng Shen, Zhihua Xiong, Jie Zhang
Point-to-Point Iterative Learning Control with Piecewise Constant Inputs. ICAC (2018)
Kai Liu, Jie Zhang
Optimization of Echo State Networks by Covariance Matrix Adaption Evolutionary Strategy. ICAC (2018)
Sulaiman Ayobami Lawal, Jie Zhang
Actuator fault monitoring and fault tolerant control in distillation columns. Int. J. Autom. Comput. 14 (1) (2017)
Carolina Maria Cardona Baron, Jie Zhang
Re-optimisation Control of a Fed-batch Fermentation Process using Bootstrap Aggregated Extreme Learning Machine. ICINCO (1) (2017)
Funmilayo N. Osuolale, Jie Zhang
Thermodynamic optimization of atmospheric distillation unit. Comput. Chem. Eng. 103 (2017)
Carolina Maria Cardona Baron, Jie Zhang
Reliable On-Line Re-Optimization Control of a Fed-Batch Fermentation Process Using Bootstrap Aggregated Extreme Learning Machine. ICINCO (Selected Papers) (2017)
Fei Li, Jie Zhang, Eni Oko, Meihong Wang
Modelling of a post-combustion CO2 capture process using extreme learning machine. MMAR (2016)
Sulaiman A. Lawal, Jie Zhang
Fault monitoring and fault tolerant control in distillation columns. MMAR (2016)
Zhihua Xiong, Yingdong Hong, Chen Chen, Jie Zhang, Maiying Zhong
Convergence analysis of integrated predictive iterative learning control based on two-dimensional theory. ACC (2016)
Fahad Khamis Al Kalbani, Jie Zhang
Inferential active disturbance rejection control of a heat integrated distillation column. ICARCV (2016)
Fahad Al Kalbani, Jie Zhang, Thomas Bisgaard, Jakob Kjøbsted Huusom
Active disturbance rejection control of a heat integrated distillation column. MMAR (2016)
Simon William Jeffries, Shamsa Al-Abri, Jie Zhang
Inferential disturbance observer based control of a binary distillation column. IECON (2016)
Fahad Al Kalbani, Jie Zhang
Inferential Active Disturbance Rejection Control of a Distillation Column using Dynamic Principal Component Regression Models. ICINCO (1) (2015)
Seyong Jung, Jie Zhang, Rui Oliveira
Iterative learning control of polyhydroxybutyrate production in a sequencing batch reactor. MMAR (2015)
Sulaiman A. Lawal, Jie Zhang
Actuator fault monitoring and fault tolerant control in distillation columns. ICAC (2015)
Jarinah Mohd Ali, Mohamed Azlan Hussain, Moses O. Tadé, Jie Zhang
Artificial Intelligence techniques applied as estimator in chemical process systems - A literature survey. Expert Syst. Appl. 42 (14) (2015)
Damson Leonard Kaunga, Jie Zhang, Katy Ferguson, Carl Steele
Reliable modeling of chemical duarability of high level waste glass using bootstrap aggregated neural networks. ICNC (2013)
Kazim-Junior Rod Mohammed, Jie Zhang
Reliable optimisation control of a reactive polymer composite moulding process using ant colony optimisation and bootstrap aggregated neural networks. Neural Comput. Appl. 23 (7-8) (2013)
Shallon Stubbs, Jie Zhang, Julian Morris
Fault detection in dynamic processes using a simplified monitoring-specific CVA state space modelling approach. Comput. Chem. Eng. 41 (2012)
Jie Zhang, Nikos G. Pantelelis
Reliable Modelling and Optimisation Control of Reactive Polymer Composite Moulding Processes using Bootstrap Aggregated Neural Network Models. IJCCI (NCTA) (2011)
Katy Ferguson, Jie Zhang, Carl Steele, Colin Clarke, Julian Morris
Modelling Vitrified Glass Viscosity in a Nuclear Fuel Reprocessing Plant using Neural Networks. IJCCI (NCTA) (2011)
Tao Chen, Jie Zhang
On-line multivariate statistical monitoring of batch processes using Gaussian mixture model. Comput. Chem. Eng. 34 (4) (2010)
Zhihua Xiong, Yixin Xu, Jin Dong, Jie Zhang
Neural network based iterative learning control for product qualities in batch processes. Int. J. Model. Identif. Control. 11 (1/2) (2010)
Zhihua Xiong, Jin Dong, Jie Zhang
Optimal iterative learning control for end-point product qualities in semi-batch process based on neural network model. Sci. China Ser. F Inf. Sci. 52 (7) (2009)
Rudy Agustriyanto, Jie Zhang
Control structure selection for the ALSTOM gasifier benchmark process using GRDG analysis. Int. J. Model. Identif. Control. 6 (2) (2009)
Fernando Herrera, Jie Zhang
Optimal control of batch processes using particle swam optimisation with stacked neural network models. Comput. Chem. Eng. 33 (10) (2009)
Zainal Ahmad, Jie Zhang
Selective combination of multiple neural networks for improving model prediction in nonlinear systems modelling through forward selection and backward elimination. Neurocomputing 72 (4-6) (2009)
Jie Zhang, Jerome Nguyan, Julian Morris, Zhihua Xiong
Batch to batch iterative learning control of a fed-batch fermentation process using linearised models. ICARCV (2008)
Zhihua Xiong, Yixin Xu, Jie Zhang, Jin Dong
Batch-to-batch control of fed-batch processes using control-affine feedforward neural network. Neural Comput. Appl. 17 (4) (2008)
Hui Geng, Zhihua Xiong, Yongmao Xu, Jie Zhang
Iterative learning control with reference batch for linear time-variant systems. ICARCV (2008)
Rudy Agustriyanto, Jie Zhang
Obtaining the Worst Case RGA and RDGA for Uncertain Systems via Optimization. ACC (2007)
Fernando S. Antelo, Jie Zhang
Improved Bleach Plant Control Using Internal Model Control with Smith Predictor. CCA (2007)
Jie Zhang
Modelling and multi-objective optimal control of batch processes using recurrent neuro-fuzzy networks. Int. J. Autom. Comput. 3 (1) (2006)
Qiang Zhou, Zhihua Xiong, Jie Zhang, Yongmao Xu
Hierarchical Neural Network Based Product Quality Prediction of Industrial Ethylene Pyrolysis Process. ISNN (2) (2006)
Jie Zhang
Improved on-line process fault diagnosis through information fusion in multiple neural networks. Comput. Chem. Eng. 30 (3) (2006)
Zainal Ahmad, Jie Zhang
A Nonlinear Model Predictive Control Strategy Using Multiple Neural Network Models. ISNN (2) (2006)
Zainal Ahmad, Jie Zhang
Combination of multiple neural networks using data fusion techniques for enhanced nonlinear process modelling. Comput. Chem. Eng. 30 (2) (2005)
Zhihua Xiong, Jie Zhang, Xiong Wang, Yongmao Xu
An integrated batch-to-batch iterative learning control and within batch control strategy for batch processes. ACC (2005)
Yi Liu, XianHui Yang, Zhihua Xiong, Jie Zhang
Batch-to-Batch Optimal Control Based on Support Vector Regression Model. ISNN (3) (2005)
Zhihua Xiong, Jie Zhang
Optimal Control of Fed-Batch Processes Based on Multiple Neural Networks. Appl. Intell. 22 (2) (2005)
Zainal Ahmad, Jie Zhang
Bayesian selective combination of multiple neural networks for improving long-range predictions in nonlinear process modelling. Neural Comput. Appl. 14 (1) (2005)
Zhihua Xiong, Jie Zhang, Xiong Wang, Yongmao Xu
Neural Network Based On-Line Shrinking Horizon Re-optimization of Fed-Batch Processes. ISNN (3) (2005)
Jie Zhang
Modeling and Optimal Control of Batch Processes Using Recurrent Neuro-Fuzzy Networks. IEEE Trans. Fuzzy Syst. 13 (4) (2005)
Zhihua Xiong, Jie Zhang, Xiong Wang, Yongmao Xu
Run-to-Run Iterative Optimization Control of Batch Processes. ISNN (2) (2004)
Yi Liu, XianHui Yang, Jie Zhang
A Neural Network Modeling Method for Batch Process. ISNN (2) (2004)
Shi Jian Zhao, Yongmao Xu, Jie Zhang
A Novel Nonlinear Projection to Latent Structures Algorithm. ISNN (2) (2004)
Zhihua Xiong, Jie Zhang
Recurrent neural network model based batch-to-batch iterative optimising control. Neural Networks and Computational Intelligence (2004)
Qiang Zhou, Jie Zhang, Yongmao Xu
Predicting the product yield profile and cracking degrees in an industrial ethylene pyrolysis furnace. ICARCV (2004)
Zhihua Xiong, Jie Zhang
Modelling and optimal control of fed-batch processes using a novel control affine feedforward neural network. Neurocomputing 61 (2004)
Zhihua Xiong, Jie Zhang
Batch-to-batch model-based iterative optimisation control for a batch polymerisation reactor. ACC (2003)
Xinggao Liu, Yongmao Xu, Jie Zhang, Jixin Qian
Optimal energy cost in ideal internal thermally coupled distillation columns. ACC (2002)
Yuan Tian, Jie Zhang, Julian Morris
Optimal control of a fed-batch bioreactor based upon an augmented recurrent neural network model. Neurocomputing 48 (1-4) (2002)
Jianli Wei, Shunjie Fan, Yongmao Xu, Jie Zhang
Dynamic modelling of an industrial polypropylene reactor and its application in melt index prediction during grade transitions. ACC (2002)
Zhihua Xiong, Jie Zhang
Modeling and optimal control of fed-batch processes using control affine feedforward neural networks. ACC (2002)
Ron J. Patton, C. J. Lopez-Toribio, Silvio Simani, Julian Morris, Elaine B. Martin, Jie Zhang
Actuator fault diagnosis in a continuous stirred tank reactor using identification techniques. ECC (2001)
Yuan Tian, Jie Zhang, Julian Morris
On-line re-optimisation control of a batch polymerisation reactor based on a hybrid recurrent neural network model. ACC (2001)
Jie Zhang, Julian Morris
Nonlinear model predictive control based on multiple local linear models. ACC (2001)
Jie Zhang, A. Julian Morris
Long Range Predictive Control of Nonlinear Processes Based on Recurrent Neuro-Fuzzy Network Models. Neural Comput. Appl. 9 (1) (2000)
Jie Zhang, A. Julian Morris
Recurrent neuro-fuzzy networks for nonlinear process modeling. IEEE Trans. Neural Networks 10 (2) (1999)
Jie Zhang
Developing robust non-linear models through bootstrap aggregated neural networks. Neurocomputing 25 (1-3) (1999)
Jie Zhang
Inferential estimation of polymer quality using bootstrap aggregated neural networks. Neural Networks 12 (6) (1999)
Jie Zhang, A. Julian Morris
A Sequential Learning Approach for Single Hidden Layer Neural Networks. Neural Networks 11 (1) (1998)
Jie Zhang, Julian Morris
Process modelling and fault diagnosis using fuzzy neural networks. Fuzzy Sets Syst. 79 (1) (1996)
Jie Zhang, A. Julian Morris, Gary A. Montague
Fault Diagnosis of a CSTR using fuzzy Neural Networks. AIRTC (1994)
Jie Zhang, Peter D. Roberts
Use of genetic algorithms in training diagnostic rules for process fault diagnosis. Knowl. Based Syst. 5 (4) (1992)
Jie Zhang, Peter D. Roberts, J. E. Ellis
Fault diagnosis of a mixing process using deep qualitative knowledge representation of physical behaviour. J. Intell. Robotic Syst. 3 (2) (1990)
Jie Zhang, Peter D. Roberts, J. E. Ellis
An application of expert systems techniques to the on-line control and fault diagnosis of a mixing process. J. Intell. Robotic Syst. 1 (3) (1988)