Dakuo He

Orcid: 0000-0001-8303-529X

According to our database1, Dakuo He authored at least 51 papers between 2007 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2025
Reinforcement learning-based adaptive event-triggered control of multi-agent systems with time-varying dead-zone.
Appl. Math. Comput., 2025

2024
Adaptive Quality Control With Uncertainty for a Pharmaceutical Cyber-Physical System Based on Data and Knowledge Integration.
IEEE Trans. Ind. Informatics, March, 2024

Stable predictive control of continuous stirred-tank reactors using deep learning.
Inf. Sci., 2024

Sample-efficient reinforcement learning with knowledge-embedded hybrid model for optimal control of mining industry.
Expert Syst. Appl., 2024

2023
Safe reinforcement learning for industrial optimal control: A case study from metallurgical industry.
Inf. Sci., November, 2023

Adaptive Neural Control of Nonlinear Cyber-Physical Systems Against Randomly Occurring False Data Injection Attacks.
IEEE Trans. Syst. Man Cybern. Syst., April, 2023

Observer-Based Adaptive Fuzzy Distributed Control of Non-affine Multi-agent Systems with Input Quantization.
Int. J. Fuzzy Syst., February, 2023

Collaborative Optimization Framework for the Industrial Thickening-Dewatering Process Based on Mixed Integer Linear Programming.
IEEE Trans. Instrum. Meas., 2023

Timeliness and Stability-Based Operation Optimization for Copper Flotation Industrial Process.
IEEE Trans. Instrum. Meas., 2023

Adaptive Fuzzy Sliding Exact Tracking Control Based on High-Order Log-Type Time-Varying BLFs for High-Order Nonlinear Systems.
IEEE Trans. Fuzzy Syst., 2023

Decision system for copper flotation backbone process.
Eng. Appl. Artif. Intell., 2023

DMPNN-Bert: a deep learning architecture for molecular property prediction.
Proceedings of the 3rd International Conference on Artificial Intelligence, 2023

2022
The intelligent decision-making of copper flotation backbone process based on CK-XGBoost.
Knowl. Based Syst., 2022

A general data-driven nonlinear robust optimization framework based on statistic limit and principal component analysis.
Comput. Chem. Eng., 2022

2021
Data-Driven Adaptive Quality Control Under Uncertain Conditions for a Cyber-Pharmaceutical-Development System.
IEEE Trans. Ind. Informatics, 2021

Disturbance-Observer-Based Adaptive Fuzzy Control for Strict-Feedback Switched Nonlinear Systems With Input Delay.
IEEE Trans. Fuzzy Syst., 2021

2020
An Operational Adjustment Framework for a Complex Industrial Process Based on Hybrid Bayesian Network.
IEEE Trans Autom. Sci. Eng., 2020

Human Motion prediction based on attention mechanism.
Multim. Tools Appl., 2020

A Selection Hyper-Heuristic Algorithm for Multiobjective Dynamic Economic and Environmental Load Dispatch.
Complex., 2020

Observer-Based Adaptive Fuzzy Predefined Performance Control of a Class of Nonlinear Pure-Feedback Systems with Input Delay.
Complex., 2020

Discrete-time filter proportional-integral-derivative controller design for linear time-invariant systems.
Autom., 2020

Identification of Time-Varying Hammerstein-Wiener Systems.
IEEE Access, 2020

2019
Coal Quality Exploration Technology Based on an Incremental Multilayer Extreme Learning Machine and Remote Sensing Images.
IEEE Trans. Geosci. Remote. Sens., 2019

Simulation Modeling of a Pharmaceutical Tablet Manufacturing Process via Wet Granulation.
Complex., 2019

Multi-Information Flow CNN and Attribute-Aided Reranking for Person Reidentification.
Comput. Intell. Neurosci., 2019

Research on a Method of Gross Error Elimination for Slope Monitoring Data Based on Machine Learning.
IEEE Access, 2019

Clustering of Copper Flotation Process Based on the AP-GMM Algorithm.
IEEE Access, 2019

Two-Level Attention Model Based Video Action Recognition Network.
IEEE Access, 2019

A Data-Driven Iterative Optimization Compensation Method Based on PJIT-PLS for Gold Cyanidation Leaching Process.
IEEE Access, 2019

A Data-Driven Compensation Method for Production Index of Hydrometallurgical Process.
IEEE Access, 2019

Process Feature Change Recognition Based on Model Performance Monitoring and Adaptive Model Correction for the Gold Cyanidation Leaching Process.
IEEE Access, 2019

2018
Coal Exploration Based on a Multilayer Extreme Learning Machine and Satellite Images.
IEEE Access, 2018

An Overlapped Decomposition Optimization Method for Dynamic Economic Dispatch.
IEEE Access, 2018

2017
Data-Driven Model-Free Adaptive Control of Particle Quality in Drug Development Phase of Spray Fluidized-Bed Granulation Process.
Complex., 2017

2016
Modeling and Optimization of the Drug Extraction Production Process.
Sci. Program., 2016

Optimization Control of the Color-Coating Production Process for Model Uncertainty.
Comput. Intell. Neurosci., 2016

2013
Soft sensor for cobalt oxalate synthesis process in cobalt hydrometallurgy based on hybrid model.
Neural Comput. Appl., 2013

2012
Real-time product quality control for batch processes based on stacked least-squares support vector regression models.
Comput. Chem. Eng., 2012

Research on Diagnosis Method of Predictive Control Performance Model Based on Data.
Proceedings of the Advances in Neural Networks - ISNN 2012, 2012

2011
Hybrid modeling for the prediction of leaching rate in leaching process based on negative correlation learning bagging ensemble algorithm.
Comput. Chem. Eng., 2011

Chaotic differential evolution algorithm based on mixed method for large-scale industrial processes of fuzzy model.
Proceedings of the Seventh International Conference on Natural Computation, 2011

2010
Improved select space multi-objective particle swarm optimization.
Proceedings of the Sixth International Conference on Natural Computation, 2010

Particle Swarm Optimization based on the initial population of clustering.
Proceedings of the Sixth International Conference on Natural Computation, 2010

Discussion of Integrated Three-dimensional Teaching Model Based on E-Learning.
Proceedings of the International Conference on E-Business and E-Government, 2010

Research on Differential Evolution Algorithm Based on Interaction Balance Method for Large-Scale Industrial Processes of Fuzzy Model.
Proceedings of the Artificial Intelligence and Computational Intelligence, 2010

2008
Multi-stage extreme learning machine for fault diagnosis on hydraulic tube tester.
Neural Comput. Appl., 2008

E-learning and Innovation Cultivation.
Proceedings of the International Conference on Computer Science and Software Engineering, 2008

Research on Experimental Teaching Patterns Based on E-learning.
Proceedings of the International Conference on Computer Science and Software Engineering, 2008

On the Basis of the Generated Foundation of Blended E-learning - Transcendence and Integration.
Proceedings of the International Conference on Computer Science and Software Engineering, 2008

2007
Support Vector Machines and Genetic Algorithms for Soft-Sensing Modeling.
Proceedings of the Advances in Neural Networks, 2007

A Fault Diagnosis Method to Hydraulic Tube Tester Production Process.
Proceedings of the Fourth International Conference on Fuzzy Systems and Knowledge Discovery, 2007


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