Dr Jie Zhang
| A general framework for improving cuckoo search algorithms with resource allocation and re-initialization | 2024 |
|
Dr Jie Zhang
| Characterization and Thermal Evaluation of a Novel Bio-Based Natural Insulation Material from Posidonia oceanica Waste: A Sustainable Solution for Building Insulation in Algeria | 2024 |
|
Dr Jie Zhang
| Comprehensive Analysis of Phytochemical Composition, Antioxidant Potential, and Antibacterial Activity of T. polium | 2024 |
|
Dr Jie Zhang
| Efficiency of Hydrogen Peroxide and Fenton Reagent for Polycyclic Aromatic Hydrocarbon Degradation in Contaminated Soil: Insights from Experimental and Predictive Modeling | 2024 |
|
Dr Jie Zhang
| Evaluating the Effectiveness of Coagulation–Flocculation Treatment Using Aluminum Sulfate on a Polluted Surface Water Source: A Year-Long Study | 2024 |
|
Dr Jie Zhang
| Formulation and Characterization of Double Emulsions W/O/W Stabilized by Two Natural Polymers with Two Manufacturing Processes (Comparative Study) | 2024 |
|
Dr Jie Zhang
| Gaussian process regression with levy flight optimization: Advanced AR66 adsorption studies | 2024 |
|
Dr Jie Zhang
| Green Fabrication of ZnO Nanoparticles and ZnO/rGO Nanocomposites from Algerian Date Syrup Extract: Synthesis, Characterization, and Augmented Photocatalytic Efficiency in Methylene Blue Degradation | 2024 |
|
Dr Jie Zhang
| Hybrid Mechanistic Neural Network Modelling of the Degree of Cure of Polymer Composite | 2024 |
|
Dr Jie Zhang
| Optimizing Sustainability: Exergoenvironmental Analysis of a Multi-Effect Distillation with Thermal Vapor Compression System for Seawater Desalination | 2024 |
|
Dr Jie Zhang
| The Enhanced Adsorption Capacity of Ziziphus jujuba Stones Modified with Ortho-Phosphoric Acid for Organic Dye Removal: A Gaussian Process Regression Approach | 2024 |
|
Dr Jie Zhang
| Thermodynamic study and the development of a support vector machine model for predicting adsorption behavior of orange peel-derived beads in wastewater treatment | 2024 |
|
Professor Qiangda Yang
Dr Huang Huang
Dr Jie Zhang
Dr Peng Liu
| A collaborative cuckoo search algorithm with modified operation mode | 2023 |
|
Dr Ruosen Qi
Dr Jie Zhang
| A review on data-driven condition monitoring of industrial equipment | 2023 |
|
Dr Jie Zhang
| Advancing water quality research: K-nearest neighbor coupled with the improved grey wolf optimizer algorithm model unveils new possibilities for dry residue prediction | 2023 |
|
Dr Jie Zhang
| An Effective Standalone Solar Air Gap Membrane Distillation Plant for Saline Water Desalination: Mathematical Model, Optimization | 2023 |
|
Dr Jie Zhang
| Analysis of Desalination Performance with a Thermal Vapor Compression System | 2023 |
|
Dr Jie Zhang
| Application of Walnut Shell Biowaste as an Inexpensive Adsorbent for Methylene Blue Dye: Isotherms, Kinetics, Thermodynamics, and Modeling | 2023 |
|
Dr Jie Zhang
| Designing an Efficient Surfactant–Polymer–Oil–Electrolyte System: A Multi-Objective Optimization Study | 2023 |
|
Dr Jie Zhang
| Development of New Alkylated Carrageenan Derivatives: Physicochemical, Rheological, and Emulsification Properties Assessment | 2023 |
|
Dr Jie Zhang
| Energy and exergy analyses of a PWR type nuclear power plant coupled with ME-TVC-MED desalination | 2023 |
|
Dr Jie Zhang
| Energy and Exergy Analysis of Solar Air Gap Membrane Distillation System for Seawater Desalination | 2023 |
|
Dr Jie Zhang
| Enhancing river health monitoring: Developing a reliable predictive model and mitigation plan | 2023 |
|
Dr Jie Zhang
| Evaluation of Physicochemical and Amphiphilic Properties of New Xanthan Gum Hydrophobically Functionalized Derivatives | 2023 |
|
Dr Jie Zhang
| Experimental Analysis and Neural Network Modeling of the Rheological Behavior of Xanthan Gum and Its Derivatives | 2023 |
|
Dr Jie Zhang
| Experimental and theoretical study of methylene blue adsorption on a new raw material, Cynara scolymus - A statistical physics assessment | 2023 |
|
Dr Jie Zhang
| Experimental Investigation of Fluid Flow through Zinc Open-Cell Foams Produced by the Excess Salt Replication Process and Suitable as a Catalyst in Wastewater Treatment | 2023 |
|
Dr Jie Zhang
| Formulation and Evaluation of Xanthan Gum Microspheres for the Sustained Release of Metformin Hydrochloride | 2023 |
|
Fahad Al Kalbani
Dr Jie Zhang
| Inferential Composition Control of a Distillation Column Using Active Disturbance Rejection Control with Soft Sensors | 2023 |
|
Dr Jie Zhang
| Investigating the Efficacy of Oily Water Treatment at a De-Oiling Facility in the Northern Industrial Center of CINA - Hassi Messaoud: A Statistical Physics Assessment | 2023 |
|
Dr Jie Zhang
| Jujube stones based highly efficient activated carbon for methylene blue adsorption: Kinetics and isotherms modeling, thermodynamics and mechanism study, optimization via response surface methodology and machine learning approaches | 2023 |
|
Dr Jie Zhang
| Mixed coagulant-flocculant optimization for pharmaceutical effluent pretreatment using response surface methodology and Gaussian process regression | 2023 |
|
Dr Jie Zhang
| Modeling and Optimization of Hybrid Fenton and Ultrasound Process for Crystal Violet Degradation Using AI Techniques | 2023 |
|
Dr Jie Zhang
| Numerical Modeling and Performance Evaluation of Vacuum Membrane Distillation for Energy-Efficient Seawater Desalination: Towards Energy-Efficient Solutions | 2023 |
|
Dr Jie Zhang
| Optimization of Partially Hydrolyzed Polyacrylamide (HPAM) Utilized in Water-Based Mud While Drilling | 2023 |
|
Dr Jie Zhang
| Reduced Bayesian Optimized Stacked Regressor (RBOSR): A highly efficient stacked approach for improved air pollution prediction | 2023 |
|
Dr Hannah Kargbo
Dr Jie Zhang
Professor Anh Phan
| Robust modelling development for optimisation of hydrogen production from biomass gasification process using bootstrap aggregated neural network | 2023 |
|
Dr Jie Zhang
| Special Issue: Neural Networks, Fuzzy Systems and Other Computational Intelligence Techniques for Advanced Process Control | 2023 |
|
Dr Jie Zhang
| Surface response modeling of homogeneous photo Fenton Fe(III) and Fe(II) complex for sunlight degradation and mineralization of food dye | 2023 |
|
Dr 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 | 2023 |
|
Dr Jie Zhang
| The Fluctuation Correlation between Investor Sentiment and Stock Index Using VMD-LSTM: Evidence from China Stock Market | 2023 |
|
Dr Jie Zhang
| Unveiling the Impact of Thiophanate-Methyl on Arthrospira platensis: Growth, Photosynthetic Pigments, Biomolecules, and Detoxification Enzyme Activities | 2023 |
|
Dr Liam Fleming
Dr Jie Zhang
Dr Shirley Coleman
| A Bayesian Data Modelling Framework for Chemical Processes using Adaptive Sequential Design with Gaussian Process Regression | 2022 |
|
Dr Jie Zhang
| A Feedback Control Strategy for a Fed-Batch Monoclonal Antibody Production Process Utilising Infrequent and Irregular Sampled Measurements | 2022 |
|
Dr Jie Zhang
| A novel selective ensemble learning method for smartphone sensor-based human activity recognition based on hybrid diversity enhancement and improved binary glowworm swarm optimization | 2022 |
|
Dr Shengkai Wang
Dr Jie Zhang
| An Intelligent Process Fault Diagnosis System based on Andrews Plot and Convolutional Neural Network | 2022 |
|
Dr Jie Zhang
| Analyzing different dynamically modelled data structures and machine learning algorithms to predict PM2.5 concentration in China | 2022 |
|
Professor Qiangda Yang
Peng Liu
Dr Jie Zhang
| Combined heat and power economic dispatch using an adaptive cuckoo search with differential evolution mutation | 2022 |
|
Dr Jie Zhang
| Group decision making-based fusion for human activity recognition in body sensor networks | 2022 |
|
Dr Jie Zhang
| Modeling the organic matter of water using the decision tree coupled with bootstrap aggregated and least-squares boosting | 2022 |
|
Wissam Muhsin
Dr Jie Zhang
| Multi-Objective Optimization of a Crude Oil Hydrotreating Process with a Crude Distillation Unit Based on Bootstrap Aggregated Neural Network Models | 2022 |
|
Kunpeng Wang
Dr Jie Zhang
| Online temperature estimation of Shell coal gasification process based on extended Kalman filter | 2022 |
|
Dr Jie Zhang
| Performance Analysis of Neural Network Architecture in Developing Real-Time Malaysian River Water Quality Model | 2022 |
|
Dr Kai Liu
Dr Jie Zhang
| A Dual-Layer Attention-Based LSTM Network for Fed-batch Fermentation Process Modelling | 2021 |
|
Dr Shengkai Wang
Dr Jie Zhang
| A Fault Diagnosis Strategy based on Qualitative Trend Analysis Integrating Andrews Plot for Industrial Processes | 2021 |
|
Dr Jie Zhang
| A novel sensor-based human activity recognition method based on hybrid feature selection and combinational optimization | 2021 |
|
Kazeem Alli
Dr Jie Zhang
| Adaptive Optimal Control of Baker's Yeast Fermentation Process with Extreme Learning Machine and Recursive Least Square Technique | 2021 |
|
Professor Qiangda Yang
Dr Na Dong
Dr Jie Zhang
| An enhanced adaptive bat algorithm for microgrid energy scheduling | 2021 |
|
Dr Jie Zhang
| An Experience Transfer Approach for the Initial Data of Iterative Learning Control | 2021 |
|
Dr Shengkai Wang
Dr Jie Zhang
| An Intelligent Process Fault Diagnosis System based on Neural Networks and Andrews Plot | 2021 |
|
Dr Jie Zhang
| Comparing Different Pre-processing Techniques and Machine Learning Models to Predict PM10 and PM2.5 Concentration in Malaysia | 2021 |
|
Jeremiah Corrigan
Dr Jie Zhang
| Developing Accurate Data-driven Soft-sensors through Integrating Dynamic Kernel Slow Feature Analysis with Neural Networks | 2021 |
|
Dr Shengkai Wang
Dr Jie Zhang
| Enhanced Data-Driven Fault Diagnosis of Chemical Process via Information Fusion in Multiple Neural Networks and Andrews Plot | 2021 |
|
Professor Qiangda Yang
Dr Jie Zhang
| Molten steel temperature prediction using a hybrid model based on information interaction-enhanced cuckoo search | 2021 |
|
Kangcheng Wang
Dr Jie Zhang
| Operation optimization of Shell coal gasification process based on convolutional neural network models | 2021 |
|
Dr Hannah Kargbo
Dr Jie Zhang
Professor Anh Phan
| Optimisation of two-stage biomass gasification for hydrogen production via artificial neural network | 2021 |
|
Dr Jie Zhang
| Periodic Steady State Analysis of Lower Limb Rehabilitation Robot Based on Max-plus Algebra | 2021 |
|
Dr Jie Zhang
| Reliable data-driven modelling and optimisation of a batch reactor using bootstrap aggregated deep belief networks | 2021 |
|
Dr Zainal Ahmad
Dr Jie Zhang
| River Water Quality Prediction in Malaysia Based on Extra Tree Regression Model Coupled with Linear Discriminant Analysis (LDA) | 2021 |
|
Dr Jie Zhang
| Selection of EMG sensors based on motion coordinated analysis | 2021 |
|
Dr Shengkai Wang
Dr Jie Zhang
| An Intelligent Process Fault Diagnosis System Integrating Andrews Plot, PCA and Neural Networks | 2020 |
|
Dr Jie Zhang
| Bicycling Phase Recognition for Lower Limb Amputees Using Support Vector Machine Optimized by Particle Swarm Optimization | 2020 |
|
Dr Ruosen Qi
Dr Jie Zhang
| Data-driven fault diagnosis and prognosis for process faults using principal component analysis and extreme learning | 2020 |
|
Dr Changhao Zhu
Dr Jie Zhang
| Developing Robust Nonlinear Models through Bootstrap Aggregated Deep Belief Networks | 2020 |
|
Dr Jie Zhang
| Developing Soft Sensors for Polymer Melt Index in an Industrial Polymerization Process using Deep Belief Networks | 2020 |
|
Dr Ruosen Qi
Dr Jie Zhang
| Fault Magnitude Prognosis in Chemical Process Based on Long Short-Term Memory Network | 2020 |
|
Dr Jie Zhang
| Improved Process Fault Diagnosis by Using Neural Networks with Andrews Plot and Autoencoder | 2020 |
|
Dr Zhihua Xiong
Dr Jie Zhang
| Integrated predictive iterative learning control based on updating reference trajectory for point-to-point tracking | 2020 |
|
Jeremiah Corrigan
Dr Jie Zhang
| Integrating Dynamic Slow Feature Analysis with Neural Networks for Enhancing Soft Sensor Performance | 2020 |
|
Dr Jie Zhang
Lei Zhang
| Milk Source Identification and Milk Quality Estimation Using an Electronic Nose and Machine Learning Techniques | 2020 |
|
Dr Jie Zhang
| Modelling a Penicillin Fermentation Process Using Attention-based Echo State Networks Optimized by Covariance Matrix Adaption Evolutionary Strategy | 2020 |
|
Dr Kai Liu
Dr Jie Zhang
| Nonlinear Process Modelling Using Echo State Networks Optimised by Covariance Matrix Adaption Evolutionary Strategy | 2020 |
|
Dr Jie Zhang
| Optimizing sensor deployment for multi-sensor based HAR system with improved glowworm swarm optimization algorithm | 2020 |
|
Dr Jie Zhang
| Robust human activity recognition using single accelerometer via wavelet energy spectrum features and ensemble feature selection | 2020 |
|
Peng Zhang
Dr Jie Zhang
Dr Yang Long
Dr Bingzhang Hu
| An improved reinforcement learning control strategy for batch processes | 2019 |
|
Dr Changhao Zhu
Dr Jie Zhang
| Developing Robust Nonlinear Models through Bootstrap Aggregated Deep Belief Networks | 2019 |
|
Dr Shengkai Wang
Dr Jie Zhang
| Enhanced Process Fault Diagnosis Through Integrating Neural Networks and Andrews Plot | 2019 |
|
Jeremiah Corrigan
Dr Jie Zhang
| Nonlinear Data-Driven Process Modelling Using Slow Feature Analysis and Neural Networks | 2019 |
|
Peng Zhang
Dr Jie Zhang
Dr Bingzhang Hu
Dr Yang Long
| Optimization Control of a Fed-Batch Process Using an Improved Reinforcement Learning Algorithm | 2019 |
|
Professor Qiangda Yang
Dr Jie Zhang
| Predicting molten steel endpoint temperature using a feature-weighted model optimized by mutual learning cuckoo search | 2019 |
|
Dr Jie Zhang
Zainal Ahmad
| Prediction of Water Quality Index (WQI) using Support Vector Machine (SVM) and Least Square-Support Vector Machine (LS-SVM) | 2019 |
|
Dr Ruosen Qi
Dr Jie Zhang
| Process Fault Detection and Reconstruction by Principal Component Analysis | 2019 |
|
Dr Jie Zhang
| Randomized Kernel Principal Component Analysis for Modeling and Monitoring of Nonlinear Industrial Processes with Massive Data | 2019 |
|
Dr Jie Zhang
| Reliable On-Line Re-Optimization Control of a Fed-Batch Fermentation Process Using Bootstrap Aggregated Extreme Learning Machine | 2019 |
|
Dr Jie Zhang
| Selective ensemble based on extreme learning machine for sensor-based human activity recognition | 2019 |
|
Dr Jie Zhang
| Single wearable accelerometer-based human activity recognition via kernel discriminant analysis and QPSO-KELM classifier | 2019 |
|
Dr Jie Zhang
| A Single Accelerometer-based Robust Human Activity Recognition via Wavelet Features and Ensemble Feature Selection | 2018 |
|
Shallon Stubbs
Dr Jie Zhang
| BioProcess performance monitoring using multiway interval partial least squares | 2018 |
|
Funmi Osuolale
Dr Jie Zhang
| Exergetic optimisation of atmospheric and vacuum distillation system based on bootstrap aggregated neural network models | 2018 |
|
Dr Jie Zhang
| Inferential active disturbance rejection control of a heat integrated distillation column using dynamic principal component regression models | 2018 |
|
Dr Changhao Zhu
Dr Jie Zhang
| Inferential Estimation of Polymer Melt Index Using Deep Belief Networks | 2018 |
|
Dr Jie Zhang
Dr Eni Oko
| Modelling of a Post-combustion CO2 Capture Process Using Deep Belief Network | 2018 |
|
Dr Kai Liu
Dr Jie Zhang
| Optimization of Echo State Networks by Covariance Matrix Adaption Evolutionary Strategy | 2018 |
|
Dr Jie Zhang
| Point-to-Point Iterative Learning Control with Piecewise Constant Inputs | 2018 |
|
Dr Jie Zhang
| Prediction of equilibrium water dew point of natural gas in TEG dehydration systems using Bayesian Feedforward Artificial Neural Network (FANN) | 2018 |
|
Dr Jie Zhang
| Reliable multi-objective on-line re-optimisation control of a fed-batch fermentation process using bootstrap aggregated neural networks | 2018 |
|
Dr Sulaiman Lawal
Dr Jie Zhang
| Actuator and Sensor Fault Tolerant Control of a Crude Distillation Unit | 2017 |
|
Dr Sulaiman Lawal
Dr Jie Zhang
| Actuator Fault Monitoring and Fault Tolerant Control in Distillation Columns | 2017 |
|
Dr Zainal Ahmad
Dr Jie Zhang
| Air pollution index prediction using multiple neural net | 2017 |
|
Dr Moritz von Stosch
Dr Jie Zhang
Dr Mark Willis
| Hybrid neural network modelling for process monitoring and control | 2017 |
|
Dr Zainal Ahmad
Dr Jie Zhang
| Improving Water Quality Index Prediction in Perak River Basin Malaysia through the Combination of Multiple Neural Networks | 2017 |
|
Fahad Al Kalbani
Dr Jie Zhang
| Inferential active disturbance rejection control of a heat integrated distillation column | 2017 |
|
Wissam Muhsin
Dr Jie Zhang
| Modelling and Optimal Operation of a Crude Oil Hydrotreating Process with Atmospheric Distillation Unit Utilising Stacked Neural Networks | 2017 |
|
Fei Li
Dr Jie Zhang
Dr Eni Oko
| Modelling of a Post-combustion CO2 Capture Process Using Extreme Learning Machine | 2017 |
|
Dr Jie Zhang
| Prediction of combustion efficiency using multiple neural networks | 2017 |
|
Dr Jie Zhang
| Re-optimisation control of a fed-batch fermentation process using bootstrap aggregated extreme learning machine | 2017 |
|
Dr Jie Zhang
| Robust Proportional−Integral−Derivative (PID) Design for Parameter Uncertain Second-Order Plus Time Delay (SOPTD) Processes Based on Reference Model Approximation | 2017 |
|
Funmi Osuolale
Dr Jie Zhang
| Thermodynamic optimization of atmospheric distillation unit | 2017 |
|
Dr Jie Zhang
| Active Disturbance Rejection Control of a Heat Integrated Distillation Column | 2016 |
|
Dr Jie Zhang
| Analysis of PCA-based reconstruction method for fault diagnosis | 2016 |
|
Dr Zhihua Xiong
Dr Jie Zhang
| Convergence analysis of integrated predictive iterative learning control based on two-dimensional theory | 2016 |
|
Funmi Osuolale
Dr Jie Zhang
| Energy efficiency optimisation for distillation column using artificial neural network models | 2016 |
|
Dr Sulaiman Lawal
Dr Jie Zhang
| Fault Monitoring and Fault Tolerant Control in Distillation Columns | 2016 |
|
Dr Jie Zhang
| Inferential disturbance observer based control of a binary distillation column | 2016 |
|
Dr Jie Zhang
| Integrated disturbance observer based control and inferential control of a binary distillation column | 2016 |
|
Wissam Muhsin
Dr Jie Zhang
Dr Jonathan Lee
| Modelling and Optimisation of a Crude Oil Hydrotreating Process Using Neural Networks | 2016 |
|
Fei Li
Dr Jie Zhang
Dr Eni Oko
Dr Danping Huang
| Modelling of a Post-combustion CO2 Capture Process Using Bootstrap Aggregated Extreme Learning Machines | 2016 |
|
Dr Fei Li
Dr Jie Zhang
Dr Eni Oko
| Modelling of a Post-combustion CO2 Capture Process Using Extreme Learning Machine | 2016 |
|
Dr Jie Zhang
| Phase partition for nonlinear batch process monitoring | 2016 |
|
Dr Jie Zhang
| Point-to-Point Tracking of Integrated Predictive Iterative Learning Control By Using Updating-Reference and CARIMA Model | 2016 |
|
Dr Zainal Ahmad
Dr Jie Zhang
| Prediction of absorption and stripping factors in natural gas processing industries using feed forward artificial neural network | 2016 |
|
Dr Sulaiman Lawal
Dr Jie Zhang
| Sensor Fault Detection and Fault Tolerant Control of a Crude Distillation Unit | 2016 |
|
Dr Jie Zhang
| Window-Based Stepwise Sequential Phase Partition for Nonlinear Batch Process Monitoring | 2016 |
|
Fahad Al Kalbani
Dr Jie Zhang
| Active Disturbance Rejection Control of a Methanol-Water Separation Distillation Column | 2015 |
|
Dr Sulaiman Lawal
Dr Jie Zhang
| Actuator Fault Monitoring and Fault Tolerant Control in Distillation Columns | 2015 |
|
Dr Jie Zhang
| Artificial Intelligence techniques applied as estimator in chemical process systems - A literature survey | 2015 |
|
Funmi Osuolale
Dr Jie Zhang
| Distillation control structure selection for energy efficient operations | 2015 |
|
Dr Jie Zhang
| Inferential active disturbance rejection control of a distillation column | 2015 |
|
Fahad Al Kalbani
Dr Jie Zhang
| Inferential Active Disturbance Rejection Control of a Distillation Column | 2015 |
|
Fahad Al Kalbani
Dr Jie Zhang
| Inferential Active Disturbance Rejection Control of a Distillation Column using Dynamic Principal Component Regression Models | 2015 |
|
Dr Jie Zhang
| Iterative Learning Control of Polyhydroxybutyrate Production in a Sequencing Batch Reactor | 2015 |
|
Dr Fei Li
Dr Jie Zhang
Dr Eni Oko
| Modelling of a Post-combustion CO2 Capture Process Using Neural Networks | 2015 |
|
Funmi Osuolale
Dr Jie Zhang
| Multi-objective Optimisation of Atmospheric Crude Distillation System Operations Based on Bootstrap Aggregated Neural Network Models | 2015 |
|
Dr Eni Oko
Dr Jie Zhang
| Neural Network Approach for Predicting Drum Pressure and Level in Coal-fired Subcritical Power Plant | 2015 |
|
Dr Jie Zhang
Xiaoying Sun
| Robust output feedback stabilization for discrete-time systems with time-varying input delay | 2015 |
|
Dr Alison Brown
Dr Jie Zhang
| Active Disturbance Rejection Control of a Neutralisation Process | 2014 |
|
Funmi Osuolale
Dr Jie Zhang
| Energy Efficient Control and Optimisation of Distillation Column Using Artificial Neural Network | 2014 |
|
Funmi Osuolale
Dr Jie Zhang
| Energy efficient control and optimization of distillation process using artificial neural network | 2014 |
|
Dr Jie Zhang
Emeritus Professor Julian Morris
| Multi-scale Multiblock Batch Monitoring: Sensor and Process Drift and Degradation | 2014 |
|
Amin Ganjian
Dr Jie Zhang
| Optimisation of a Sequencing Batch Reactor for Production of Polyhydroxybutyrate Using Process Characterisation Method and Neural Network Modelling | 2014 |
|
Jeong Hong
Dr Jie Zhang
Emeritus Professor Julian Morris
| Progressive multi-block modelling for enhanced fault isolation in batch processes | 2014 |
|
Dr Jie Zhang
| Reliable optimal control of a fed-batch fermentation process using ant colony optimization and bootstrap aggregated neural network models | 2014 |
|
Amin Ganjian
Dr Jie Zhang
| Modelling of a Sequencing Batch Reactor for Producing Polyhydroxybutyrate with Mixed Microbial Culture Cultivation Process Using Neural Networks and Operation Regime Classification | 2013 |
|
Shallon Stubbs
Dr Jie Zhang
Emeritus Professor Julian Morris
| Multiway Interval Partial Least Squares for Batch Process Performance Monitoring | 2013 |
|
Dr Jie Zhang
Dr Tao Chen
| Penalized Reconstruction-Based Multivariate Contribution Analysis for Fault Isolation | 2013 |
|
Dr Jie Zhang
Katy Ferguson
| Reliable modeling of chemical duarability of high level waste glass using bootstrap aggregated neural networks | 2013 |
|
Dr Jie Zhang
| Reliable Optimisation Control of a Reactive Polymer Composite Moulding Process Using Ant Colony Optimisation and Bootstrap Aggregated Neural Networks | 2013 |
|
Dr Jie Zhang
Alexandre Lamande
| Batch to Batch Iterative Learning Control of a Fed-Batch Fermentation Process | 2012 |
|
Shallon Stubbs
Dr Jie Zhang
Emeritus Professor Julian Morris
| Fault detection in dynamic processes using a simplified monitoring-specific CVA state space modelling approach | 2012 |
|
Dr Jie Zhang
| Inferential estimation of kerosene dry point in refineries with varying crudes | 2012 |
|
Dr Jie Zhang
| Nonlinear wave modeling and dynamic analysis of internal thermally coupled distillation columns | 2012 |
|
Dr Jie Zhang
| Reconstruction-based multivariate contribution analysis for fault isolation: A branch and bound approach | 2012 |
|
Jeong Hong
Dr Jie Zhang
Emeritus Professor Julian Morris
| Fault Localization in Batch Processes through Progressive Principal Component Analysis Modeling | 2011 |
|
Dr Jie Zhang
| Iterative learning control of a reactive polymer composite moulding process using batch-wise updated linearised models | 2011 |
|
Dr Jie Zhang
| Reliable optimal control of a fed-batch fermentation process using ant colony optimisation and bootstrap aggregated neural network models | 2011 |
|
Dr Jie Zhang
Emeritus Professor Julian Morris
| A Revised State Space Modelling Approach and Improved Fault Detection Using Combined Index Monitoring for Dynamic Processes | 2010 |
|
Dr Jie Zhang
Anisah Hussain
Emeritus Professor Julian Morris
| Batch-to-Batch Iterative Learning Control of a Fed-batch Fermentation Process Using Incrementally Updated Models | 2010 |
|
Salim Al-Mawali
Dr Jie Zhang
| Compressor surge control using a variable area throttle and fuzzy logic control | 2010 |
|
Dr Zhihua Xiong
Dr Jie Zhang
| Neural Network Based Iterative Learning Control for Product Qualities in Batch Processes | 2010 |
|
Dr Tao Chen
Dr Jie Zhang
| On-line multivariate statistical monitoring of batch processes using Gaussian mixture model | 2010 |
|
Dr Jie Zhang
| Progressive PCA Modeling for Enhanced Fault Diagnosis in a Batch Process | 2010 |
|
Jeong Hong
Dr Jie Zhang
| Quality Prediction for a Fed-Batch Fermentation Process Using Multi-Block PLS | 2010 |
|
Rudy Agustriyanto
Dr Jie Zhang
| Control Structure Selection for the ALSTOM Gasifier Benchmark Process Using GRDG Analysis | 2009 |
|
Jeong Hong
Dr Jie Zhang
Emeritus Professor Julian Morris
| Enhanced Predictive Modeling Using Multi Block Methods | 2009 |
|
Shallon Stubbs
Dr Jie Zhang
| Fault detection of dynamic processes using a simplified monitoring-specific CVA state space approach | 2009 |
|
Shallon Stubbs
Dr Jie Zhang
Emeritus Professor Julian Morris
| Fault detection of dynamic processes using a simplified monitoring-specific CVA state space approach | 2009 |
|
Dr Jie Zhang
| Inferential estimation of kerosene dry point in refineries with varying crudes | 2009 |
|
Dr Jie Zhang
| Iterative Learning Control of a Crystallisation Process Using Batch Wise Updated Linearised Models | 2009 |
|
Dr Jie Zhang
Emeritus Professor Julian Morris
| Iterative learning control of a crystallisation process using batch wise updated linearised models identified using PLS | 2009 |
|
Dr Zhihua Xiong
Dr Jie Zhang
| Iterative learning control with fixed reference batch and exponential learning gain for linear systems | 2009 |
|
Dr Zhihua Xiong
Dr Jie Zhang
| Iterative learning control with reference batch for linear time-variant system | 2009 |
|
Zainal Ahmad
Dr Jie Zhang
| Multiple neural networks modeling techniques in process control: a review | 2009 |
|
Fernando Herrera Elizalde
Dr Jie Zhang
| Optimal Control of Batch Processes Using Particle Swarm Optimisation with Stacked Neural Network Models | 2009 |
|
Dr Jie Zhang
| Optimal iterative learning control for end-point product qualities in semi-batch process based on neural network model | 2009 |
|
Emeritus Professor Julian Morris
Dr Jie Zhang
| Performance monitoring and batch to batch control of biotechnological processes | 2009 |
|
Emeritus Professor Julian Morris
Dr Jie Zhang
| Performance Monitoring and Batch to Batch Control of Biotechnological Processes | 2009 |
|
Dr Jie Zhang
| Selective Combination of Multiple Neural Networks for Improving Model Prediction in Nonlinear Systems Modelling through Forward Selection and Backward Elimination | 2009 |
|
Salim Al-Mawali
Dr Jie Zhang
| A novel fuzzy logic control strategy for compressor surge control using a variable area throttle | 2008 |
|
Dr Ankur Mukherjee
Dr Jie Zhang
| A reliable multi-objective control strategy for batch processes based on bootstrap aggregated neural network models | 2008 |
|
Dr Jie Zhang
Emeritus Professor Julian Morris
| Batch to Batch Iterative Learning Control of A Fed-batch Fermentation Process Using Linearised Models | 2008 |
|
Dr Jie Zhang
| Batch-to-batch control of fed-batch processes using control-affine feedforward neural network | 2008 |
|
Dr Jie Zhang
| Batch-to-batch optimal control of a batch polymerisation process based on stacked neural network models | 2008 |
|
Dr Zhihua Xiong
Dr Jie Zhang
| Integrated tracking control for batch processes in the presence of model uncertainties | 2008 |
|
Dr Jie Zhang
| Iterative Learning Control of Batch Processes based on Time Varying Perturbation Models | 2008 |
|
Dr Jie Zhang
| Iterative Learning Control with Reference Batch for Linear Time-Variant Systems | 2008 |
|
Fernando Herrera Elizalde
Dr Jie Zhang
| Optimal control of batch processes using particle swam optimisation with stacked neural network models | 2008 |
|
Fernando Herrera Elizalde
Dr Jie Zhang
| Optimal Control of Batch Processes Using Particle Swam Optimisation with Stacked Neural Network Models | 2008 |
|
Dr Zhihua Xiong
Dr Jie Zhang
| Optimal Iterative Learning Control for Batch Processes Based on Linear Time-varying Perturbation Model | 2008 |
|
Dr Ankur Mukherjee
Dr Jie Zhang
| Reliable Multi-Objective On-line Re-Optimisation Control of Batch Processes Based on Bootstrap Aggregated Neural Networks | 2008 |
|
Maher Al-Mahrouq
Dr Jie Zhang
| Reliable Optimal Control of a Fed-Batch Bio-Reactor Using Ant Colony Optimization and Bootstrap Aggregated Neural Networks | 2008 |
|
Dr Jie Zhang
| Batch-to-batch Optimal control of batch processes based on recursively updated nonlinear partial least squares models | 2007 |
|
Dr Jie Zhang
| Improved bleach plant control using internal model control with smith predictor | 2007 |
|
Dr Jie Zhang
| Integrated tracking control strategy for batch processes using a batch-wise linear time-varying perturbation model | 2007 |
|
Rudy Agustriyanto
Dr Jie Zhang
| Obtaining the worst case RGA and RDGA for uncertain systems via optimization | 2007 |
|
Salim Al-Mawali
Dr Jie Zhang
| A Fuzzy Approach to Active Surge Control of Centrifugal Compressors | 2006 |
|
Zainal Ahmad
Dr Jie Zhang
| A nonlinear model predictive control strategy using multiple neural network models | 2006 |
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Dr Jie Zhang
| A nonlinear model predictive control strategy using multiple neural network models | 2006 |
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Dr Jie Zhang
| Adaptive equality prediction of batch processes based on PLS model | 2006 |
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Qiusha Zhou
Dr Zhihua Xiong
Dr Jie Zhang
| Hierarchical neural network based product quality prediction of industrial ethylene pyrolysis process | 2006 |
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Dr Jie Zhang
| Improved on-line process fault diagnosis through information fusion in multiple neural networks | 2006 |
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Dr Jie Zhang
| Improving multi step-ahead model prediction using multiple neural networks combination through forward selection (FS) technique | 2006 |
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Dr Jie Zhang
Dr Qibing Jin
Yaobo Xu
| Inferential estimation of polymer melt index using sequentially trained bootstrap aggregated neutral networks | 2006 |
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Dr Zhihua Xiong
Dr Jie Zhang
| Kernel regression modeling based batch process optimal control | 2006 |
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Dr Jie Zhang
Dr Zhihua Xiong
| Nonlinear projection to latent structures method and its applications | 2006 |
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Dr Jie Zhang
| Offset-free inferential feedback control of distillation compositions based on PCR and PLS models | 2006 |
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Dr Jie Zhang
| Performance monitoring of processes with multiple operating modes through multiple PLS models | 2006 |
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Dr Ankur Mukherjee
Dr Jie Zhang
| Reliable multi-objective optimal control of batch processes based on stacked neural network models | 2006 |
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Dr Arijit Mukherjee
Dr Jie Zhang
| Reliable Multi-Objective Optimal Control of Batch Processes based on Stacked Neural Network Models | 2006 |
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Dr Zhihua Xiong
Dr Jie Zhang
| A batch-to-batch iterative optimal control strategy based on recurrent neural network models | 2005 |
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Dr Jie Zhang
| A neural network-based strategy for the integrated batch-to-batch control and within-batch control of batch processes | 2005 |
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Dr Jie Zhang
| A recursive nonlinear PLS algorithm for adaptive nonlinear process modeling | 2005 |
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Dr Zhihua Xiong
Dr Jie Zhang
| An integrated batch-to-batch iterative learning control and within batch control strategy for batch processes | 2005 |
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Dr Jie Zhang
| Batch process modelling and optimal control based on neural network models | 2005 |
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Dr Jie Zhang
| Batch-to-batch optimal control based on support vector regression model | 2005 |
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Dr Yanju Liu
Hubert Yang
Dr Zhihua Xiong
Dr Jie Zhang
| Batch-to-Batch Optimal Control Based on Support Vector Regression Model | 2005 |
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Dr Jie Zhang
| Bayesian selective combination of multiple neural networks for improving long-range predictions in nonlinear process modelling | 2005 |
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Dr Jie Zhang
| Combination of multiple neural networks using data fusion techniques for enhanced nonlinear process modelling | 2005 |
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Dr Zhihua Xiong
Dr Jie Zhang
| Integrated Batch-to-Batch Iterative Learning Control and within Batch Control of Product Quality for Batch Processes | 2005 |
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Dr Jie Zhang
| Modeling and optimal control of batch processes using recurrent neuro-fuzzy networks | 2005 |
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Dr Jie Zhang
| Neural network based on-line shrinking horizon re-optimization of fed-batch processes | 2005 |
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Dr Zhihua Xiong
Dr Jie Zhang
Xu Wang
| Neural Network Based on-line Shrinking Horizon Re-optimization of Fed-batch Processes | 2005 |
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Dr Zhihua Xiong
Dr Jie Zhang
| Neural network model-based on-line re-optimisation control of fed-batch processes using a modified iterative dynamic programming algorithm | 2005 |
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Dr Zhihua Xiong
Dr Jie Zhang
| Optimal control of fed-batch processes based on multiple neural networks | 2005 |
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Dr Sarah Olsen
Dr Sanatan Chattopadhyay
Professor Anthony O'Neill
Dr Kelvin Kwa
Dr Jie Zhang
et al. | Strained Si/SiGe CMOS: high performance without re-tooling | 2005 |
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Dr Zhihua Xiong
Dr Jie Zhang
| Tracking control for batch processes through integrating batch-to-batch iterative learning control and within-batch on-line control | 2005 |
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Dr Jie Zhang
| A multiple PCA model based technique for the monitoring of processes with multiple operating modes | 2004 |
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Professor Professor Z Shumin Zhao
Dr Jie Zhang
| A Multiple PCA Model based Technique for the Monitoring of Processes with Multiple Operating Modes | 2004 |
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Dr Jie Zhang
| A neural network modeling method for batch process | 2004 |
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Dr Jie Zhang
| A neural network modeling method for batch process | 2004 |
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Dr Jie Zhang
| A novel nonlinear projection to latent structures algorithm | 2004 |
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Shu Zhao
Dr Jie Zhang
| A novel nonlinear projection to latent structures algorithm | 2004 |
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Dr Jie Zhang
| A Novel Nonlinear Projection to Latent Structures Algorithm | 2004 |
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Dr Jie Zhang
| A Reliable Neural Network Model Based Optimal Control Strategy for a Batch Polymerization Reactor | 2004 |
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Dr Jie Zhang
| Adaptive quality prediction for batch processes based on the PLS model | 2004 |
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Dr Zhihua Xiong
Dr Jie Zhang
| Batch-to-batch optimal control of nonlinear batch processes based on incrementally updated models | 2004 |
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Dr Jie Zhang
Emeritus Professor Julian Morris
| Combining first principles with black-box techniques for reaction systems | 2004 |
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Dr Jie Zhang
Emeritus Professor Julian Morris
| Dynamic on-line reoptimization control of a batch MMA polymerization reactor using hybrid neural network models | 2004 |
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Zainal Ahmad
Dr Jie Zhang
| Improving Long Range Prediction in Nonlinear Process Modelling through Bayesian Combination of Multiple Neural Networks | 2004 |
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Dr Jie Zhang
| Integrated Batch-to-Batch Control and within Batch Control of Batch Processes Using Neural Network Models | 2004 |
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Dr Zhihua Xiong
Dr Jie Zhang
| Modelling and optimal control of fed-batch processes using a novel control affine feedforward neural network | 2004 |
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Konstantinos Bezas
Tom Musicka
Dr Jie Zhang
Professor Elaine Martin
| Modelling the distortion of long product sections after hot rolling using finite elements and neural networks | 2004 |
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Dr Jie Zhang
| Monitoring of Processes with Multiple Operating Modes through Multiple PCA Models | 2004 |
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Professor Professor Z Shumin Zhao
Dr Jie Zhang
| Monitoring of processes with multiple operating modes through multiple principle component analysis models | 2004 |
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Dr Jie Zhang
| MWMPCA with application to batch processes monitoring | 2004 |
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Dr Jie Zhang
| Predicting the product yield profile and cracking degrees in an industrial ethylene pyrolysis furnace | 2004 |
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Dr Zhihua Xiong
Dr Jie Zhang
| Recurrent neural network model based batch-to-batch iterative optimising control | 2004 |
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Muzhong Shen
Dr Jie Zhang
Emeritus Professor Keith Scott
| Regulation of power conversion in fuel cells | 2004 |
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Dr Jie Zhang
| Run-to-run iterative optimization control of batch | 2004 |
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Dr Zhihua Xiong
Dr Jie Zhang
Xu Wang
| Run-to-Run Iterative Optimization Control of Batch Processes Based on Recurrent Neural Networks | 2004 |
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Muzhong Shen
Dr Jie Zhang
Emeritus Professor Keith Scott
| The general rule of power converted from chemical energy to electrical energy | 2004 |
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Dr Zhihua Xiong
Dr Jie Zhang
| Trajectory tracking of batch processes with varying control interval and incrementally updated models | 2004 |
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Dr Zhihua Xiong
Dr Jie Zhang
| Trajectory Tracking of Batch Processes with Varying Control Interval and Incrementally Updated Models | 2004 |
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Dr Zhihua Xiong
Dr Jie Zhang
| Batch-to-Batch Model-based Iterative Optimisation Control for a Batch Polymerisation Reactor | 2003 |
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Mosbah Ahmed
Dr Jie Zhang
| Improved Inferential Feedback Control through Combining Multiple PCR Models | 2003 |
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Zainal Ahmad
Dr Jie Zhang
| Improving Data based Nonlinear Process Modelling through Bayesian Combination of Multiple Neural Networks | 2003 |
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Dr Jie Zhang
| Inferential Estimation of Polymer Melt Index Using Bootstrap Aggregated Neural Networks with Sequential Training | 2003 |
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Dr Sarah Olsen
Professor Anthony O'Neill
Dr Jie Zhang
| Measurements of gate-oxide interface roughness in strained-Si virtual substrate SiGe/Si MOSFET device structures | 2003 |
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Dr Jie Zhang
| Multi-Objective Optimal Control of Batch Processes Using Recurrent Neuro-fuzzy Networks | 2003 |
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Dr Jie Zhang
Rudy Agustriyanto
| Multivariable Inferential Feed Forward Control | 2003 |
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Dr Jie Zhang
| Multivariable Inferential Feedback Control of Distillation Compositions Using Dynamic Principal Component Regression Models | 2003 |
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Dr Jie Zhang
| Neural Network Model Based Batch-to-Batch Optimal Control | 2003 |
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Dr Jie Zhang
| Neural Network Model based Batch-to-Batch Optimal Control | 2003 |
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Dr Zhihua Xiong
Dr Jie Zhang
| Product Quality Trajectory Tracking in Batch Processes Using Iterative Learning Control Based on Time-Varying Perturbation Models | 2003 |
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Dr Jie Zhang
| Reliable Optimal Control of a Batch Polymerisation Reactor Based on Neural Network Model with Model Prediction Confidence Bounds | 2003 |
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Zainal Ahmad
Dr Jie Zhang
Farah Taip
| Selective Combination of Multiple Neural Networks for Improving Long Range Prediction in Nonlinear Process Modelling based on Correlation Analysis | 2003 |
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Zainal Ahmad
Dr Jie Zhang
| Selective Combination of Multiple Neural Networks for Improving Long Range Prediction in Nonlinear Process Modelling through Correlation Coefficient Analysis | 2003 |
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Zainal Ahmad
Dr Jie Zhang
| A comparison of different methods for combining multiple neural networks models | 2002 |
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Professor Jun Jiang
Dr Jie Zhang
| A Steady State Model for Propylene Polymerization in an Industrial Loop Reactor and Its Application in Melt Index Predication | 2002 |
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Dr Jie Zhang
| A training method for enhancing neural network model generalisation | 2002 |
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Dr Shouwen Fan
Dr Jie Zhang
| Dynamic Modelling of an Industrial Polypropylene Reactor and Its Application in Melt Index Prediction During Grade Transitions | 2002 |
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Dr Jie Zhang
| Improved on-line process fault diagnosis using stacked neural networks | 2002 |
|
Zainal Ahmad
Dr Jie Zhang
| Improving long range prediction for nonlinear process modelling through combining multiple neural networks | 2002 |
|
Zhang Zhang
Dr Jie Zhang
| Industrial Application of Non-equilibrium Model: Simulation and Analysis of Ethylene Fractionator | 2002 |
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Dr Zhihua Xiong
Dr Jie Zhang
| Modeling and optimal control of fed-batch processes using control affine feedforward neural networks | 2002 |
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Dr Zhihua Xiong
Dr Jie Zhang
| Neural Network Based On-Line Re-Optimisation Control of Fed-Batch Processes Using Iterative Dynamic Programming for Discret-Time Systems | 2002 |
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Dr Jie Zhang
| Neural Networks based Model Predictive Control of an Industrial Polypropylene Process | 2002 |
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Dr Jie Zhang
Emeritus Professor Julian Morris
| Non-linear chemical process modelling and application in epichlorhydrine production plant using wavelet networks | 2002 |
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Dr Jie Zhang
| Optimal control of a batch emulsion copolymerisation reactor based on recurrent neural network models | 2002 |
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Dr Jie Zhang
| Optimal control of a fed-batch bioreactor based upon an augmented recurrent neural network model | 2002 |
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Dr Zhihua Xiong
Dr Jie Zhang
| Optimal control of batch processes incorporating model prediction confidence bounds based on multiple neural networks | 2002 |
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Dr Jie Zhang
| Optimal Energy Cost in Ideal Internal Thermally Coupled Distillation Columns | 2002 |
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Dr Jie Zhang
| Sequential training of bootstrap aggregated neural networks for nonlinear systems modelling | 2002 |
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Dr Jie Zhang
| A nonlinear gain scheduling control strategy based on neuro-fuzzy networks | 2001 |
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Dr Jie Zhang
| Developing robust neural network models by using both dynamic and static process operating data | 2001 |
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Dr Jie Zhang
Emeritus Professor Julian Morris
| Inferential Estimation and Optimal Control of a Batch Polymerisation Reactor Using Stacked Neural Networks | 2001 |
|
Dr Jie Zhang
| Inferential Feedback Control of Distillation Composition based on PCR and PLS Models | 2001 |
|
Dr Jie Zhang
Rudy Agustriyanto
| Inferential Feedforward Control of a Distillation Column | 2001 |
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Dr Jie Zhang
| Modeling and optimal control of a batch polymerization reactor using a hybrid stacked recurrent neural network model | 2001 |
|
Dr Jie Zhang
| Nonlinear model predictive control based on multiple local linear models | 2001 |
|
Dr Jie Zhang
Emeritus Professor Julian Morris
| On-line Re-optimisation Control of a Batch Polymerisation Reactor based on a Hybrid Recurrent Neural Network Model | 2001 |
|
Dr Jie Zhang
| Recurrent Neuro-Fuzzy Networks for the Modelling and Optimal Control of Batch Processes | 2001 |
|
Dr Jie Zhang
| Recurrent neuro-fuzzy networks for the modelling and optimal control of batch processes | 2001 |
|
Dr Jie Zhang
Emeritus Professor Julian Morris
| Long range predictive control of nonlinear processes based on recurrent neuro-fuzzy network models | 2000 |
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Dr Jie Zhang
| Developing robust non-linear models through bootstrap aggregated neural networks | 1999 |
|
Dr Jie Zhang
| Inferential estimation of polymer quality using bootstrap aggregated neural networks | 1999 |
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Dr Jie Zhang
Emeritus Professor Julian Morris
| Recurrent Neuro-Fuzzy Networks for Nonlinear Process Modeling | 1999 |
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