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Classification of silicon content variation trend based on fusion of multilevel features in blast furnace ironmaking

Information sciences, 2020-06, Vol.521, p.32-45

2020

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A Multi-objective optimization algorithm based on dynamic user-preference information

Computing, 2022-03, Vol.104 (3), p.627-656

2022

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A Hybrid Regularization Semi-Supervised Extreme Learning Machine Method and Its Application

IEEE access, 2019, Vol.7, p.30102-30111

2019

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Estimating the Alumina Concentration During Aluminum Electrolysis by Identifying the Sensitive Frequency Band Using Marginal Kurtosis

IEEE access, 2021, Vol.9, p.1016-1031

2021

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STA-APSNFIS: STA-Optimized Adaptive Pre-Sparse Neuro-Fuzzy Inference System for Online Soft Sensor Modeling

IEEE access, 2020, Vol.8, p.104870-104883

2020

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Guaranteed Cost Control for Descriptor Type-2 Fuzzy Systems With Stochastic Delay Distribution

IEEE access, 2017-01, Vol.5, p.23637-23646

2017

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Two-Stage Control of Endpoint Temperature for Pebble Stove Combustion

IEEE access, 2019, Vol.7, p.625-640

2019

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MAR-GSA: Mixed attraction and repulsion based gravitational search algorithm

Information sciences, 2024-03, Vol.662, p.120250, Article 120250

2024

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Experiential knowledge representation and reasoning based on linguistic Petri nets with application to aluminum electrolysis cell condition identification

Information sciences, 2020-08, Vol.529, p.141-165

2020

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TSTFNN: Performance Enhancement for Fuzzy Neural Network in Performance Monitoring of Industrial Flotation Processes

IEEE transactions on industrial informatics, 2024-03, Vol.20 (3), p.1-11

2024

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Semi-supervised Discriminative Projective Dictionary Pair Learning and Its Application to Industrial Process

IEEE transactions on industrial informatics, 2023-03, Vol.19 (3), p.3119-3132

2023

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Abnormality Monitoring in the Blast Furnace Ironmaking Process Based on Stacked Dynamic Target-Driven Denoising Autoencoders

IEEE transactions on industrial informatics, 2022-03, Vol.18 (3), p.1854-1863

2022

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Interval type-2 fuzzy stochastic configuration networks for soft sensor modeling of industrial processes

Information sciences, 2024-09, Vol.679, p.121073, Article 121073

2024

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Multiple structured latent double dictionary pair learning for cross-domain industrial process monitoring

Information sciences, 2023-11, Vol.648, p.119514, Article 119514

2023

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A General Knowledge-Guided Framework Based on Deep Probabilistic Network for Enhancing Industrial Process Modeling

IEEE transactions on industrial informatics, 2024-03, Vol.20 (3), p.1-10

2024

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A Projective and Discriminative Dictionary Learning for High-Dimensional Process Monitoring With Industrial Applications

IEEE transactions on industrial informatics, 2021-01, Vol.17 (1), p.558-568

2021

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Deep learning feature-based setpoint generation and optimal control for flotation processes

Information sciences, 2021-11, Vol.578, p.644-658

2021

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Multiview Shapelet Prototypical Network for Few-Shot Fault Incremental Learning

IEEE transactions on industrial informatics, 2024-07, p.1-12

2024

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Multiobjective-Based Optimization and Control for Iron Removal Process Under Dynamic Environment

IEEE transactions on industrial informatics, 2021-01, Vol.17 (1), p.569-577

2021

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A Cooperative Silicon Content Dynamic Prediction Method with Variable Time Delay Estimation in the Blast Furnace Ironmaking Process

IEEE transactions on industrial informatics, 2024-01, Vol.20 (1), p.1-12

2024

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Siamese Time Series and Difference Networks for Performance Monitoring in the Froth Flotation Process

IEEE transactions on industrial informatics, 2022-04, Vol.18 (4), p.2539-2549

2022

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Feature Reconstruction-Regression Network: A Light-Weight Deep Neural Network for Performance Monitoring in the Froth Flotation

IEEE transactions on industrial informatics, 2021-12, Vol.17 (12), p.8406-8417

2021

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Time-Varying Formation Control With Transient Performance for Multiagent Systems Under Jointly Connected Topologies

IEEE systems journal, 2024-03, Vol.18 (1), p.497-500

2024

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A froth image segmentation method via generative adversarial networks with multi-scale self-attention mechanism

Multimedia tools and applications, 2024-02, Vol.83 (7), p.19663-19682

2024

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Learning Local Gabor Pattern-Based Discriminative Dictionary of Froth Images for Flotation Process Working Condition Monitoring

IEEE transactions on industrial informatics, 2021-07, Vol.17 (7), p.4437-4448

2021

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Classification of silicon content variation trend based on fusion of multilevel features in blast furnace ironmaking

A Multi-objective optimization algorithm based on dynamic user-preference information

A Hybrid Regularization Semi-Supervised Extreme Learning Machine Method and Its Application

Estimating the Alumina Concentration During Aluminum Electrolysis by Identifying the Sensitive Frequency Band Using Marginal Kurtosis

STA-APSNFIS: STA-Optimized Adaptive Pre-Sparse Neuro-Fuzzy Inference System for Online Soft Sensor Modeling

Guaranteed Cost Control for Descriptor Type-2 Fuzzy Systems With Stochastic Delay Distribution

Two-Stage Control of Endpoint Temperature for Pebble Stove Combustion

MAR-GSA: Mixed attraction and repulsion based gravitational search algorithm

Experiential knowledge representation and reasoning based on linguistic Petri nets with application to aluminum electrolysis cell condition identification

TSTFNN: Performance Enhancement for Fuzzy Neural Network in Performance Monitoring of Industrial Flotation Processes

Semi-supervised Discriminative Projective Dictionary Pair Learning and Its Application to Industrial Process

Abnormality Monitoring in the Blast Furnace Ironmaking Process Based on Stacked Dynamic Target-Driven Denoising Autoencoders

Interval type-2 fuzzy stochastic configuration networks for soft sensor modeling of industrial processes

Multiple structured latent double dictionary pair learning for cross-domain industrial process monitoring

A General Knowledge-Guided Framework Based on Deep Probabilistic Network for Enhancing Industrial Process Modeling

A Projective and Discriminative Dictionary Learning for High-Dimensional Process Monitoring With Industrial Applications

Deep learning feature-based setpoint generation and optimal control for flotation processes

Multiview Shapelet Prototypical Network for Few-Shot Fault Incremental Learning

Multiobjective-Based Optimization and Control for Iron Removal Process Under Dynamic Environment

A Cooperative Silicon Content Dynamic Prediction Method with Variable Time Delay Estimation in the Blast Furnace Ironmaking Process

Siamese Time Series and Difference Networks for Performance Monitoring in the Froth Flotation Process

Feature Reconstruction-Regression Network: A Light-Weight Deep Neural Network for Performance Monitoring in the Froth Flotation

Time-Varying Formation Control With Transient Performance for Multiagent Systems Under Jointly Connected Topologies

A froth image segmentation method via generative adversarial networks with multi-scale self-attention mechanism

Learning Local Gabor Pattern-Based Discriminative Dictionary of Froth Images for Flotation Process Working Condition Monitoring

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