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Dakuo He
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2020 – today
- 2025
- [j39]Xin Li, Dakuo He, Qiang Zhang, Hailong Liu:
Reinforcement learning-based adaptive event-triggered control of multi-agent systems with time-varying dead-zone. Appl. Math. Comput. 486: 129059 (2025) - 2024
- [j38]Jun Zheng, Runda Jia, Shaoning Liu, Dakuo He, Kang Li, Fuli Wang:
Sample-efficient reinforcement learning with knowledge-embedded hybrid model for optimal control of mining industry. Expert Syst. Appl. 254: 124402 (2024) - [j37]Shulei Zhang, Runda Jia, Yankai Cao, Dakuo He, Feng Yu:
Stable predictive control of continuous stirred-tank reactors using deep learning. Inf. Sci. 678: 120970 (2024) - [j36]Zhengsong Wang, Shengnan Tang, Ge Guo, Yanqiu Yang, Dakuo He, Le Yang, Meng Han, Yue Hou:
Adaptive Quality Control With Uncertainty for a Pharmaceutical Cyber-Physical System Based on Data and Knowledge Integration. IEEE Trans. Ind. Informatics 20(3): 3339-3350 (2024) - 2023
- [j35]Haipei Dong, Fuli Wang, Dakuo He, Yan Liu:
Decision system for copper flotation backbone process. Eng. Appl. Artif. Intell. 123(Part C): 106410 (2023) - [j34]Xin Li, Dakuo He, Qiang Zhang:
Observer-Based Adaptive Fuzzy Distributed Control of Non-affine Multi-agent Systems with Input Quantization. Int. J. Fuzzy Syst. 25(1): 118-135 (2023) - [j33]Jun Zheng, Runda Jia, Shaoning Liu, Dakuo He, Kang Li, Fuli Wang:
Safe reinforcement learning for industrial optimal control: A case study from metallurgical industry. Inf. Sci. 649: 119684 (2023) - [j32]Qiang Zhang, Dakuo He:
Adaptive Fuzzy Sliding Exact Tracking Control Based on High-Order Log-Type Time-Varying BLFs for High-Order Nonlinear Systems. IEEE Trans. Fuzzy Syst. 31(1): 14-24 (2023) - [j31]Zhiqiang Wang, Dakuo He, Zhengsong Wang, Qiang Li:
Timeliness and Stability-Based Operation Optimization for Copper Flotation Industrial Process. IEEE Trans. Instrum. Meas. 72: 1-12 (2023) - [j30]Shulei Zhang, Runda Jia, Hengxin Pan, Dakuo He, Kang Li:
Collaborative Optimization Framework for the Industrial Thickening-Dewatering Process Based on Mixed Integer Linear Programming. IEEE Trans. Instrum. Meas. 72: 1-14 (2023) - [j29]Qiang Zhang, Dakuo He:
Adaptive Neural Control of Nonlinear Cyber-Physical Systems Against Randomly Occurring False Data Injection Attacks. IEEE Trans. Syst. Man Cybern. Syst. 53(4): 2444-2455 (2023) - [c12]Mengmeng Fan, Qing Liu, Zeyu Cui, Hao Wang, Mingkai Chen, Dakuo He, Yue Hou:
DMPNN-Bert: a deep learning architecture for molecular property prediction. AI2A 2023: 152-157 - 2022
- [j28]Shulei Zhang, Runda Jia, Dakuo He, Fei Chu, Zhizhong Mao:
A general data-driven nonlinear robust optimization framework based on statistic limit and principal component analysis. Comput. Chem. Eng. 160: 107707 (2022) - [j27]Haipei Dong, Fuli Wang, Dakuo He, Yan Liu:
The intelligent decision-making of copper flotation backbone process based on CK-XGBoost. Knowl. Based Syst. 243: 108429 (2022) - 2021
- [j26]Qiang Zhang, Dakuo He:
Disturbance-Observer-Based Adaptive Fuzzy Control for Strict-Feedback Switched Nonlinear Systems With Input Delay. IEEE Trans. Fuzzy Syst. 29(7): 1942-1952 (2021) - [j25]Zhengsong Wang, Dakuo He, Yue Hou:
Data-Driven Adaptive Quality Control Under Uncertain Conditions for a Cyber-Pharmaceutical-Development System. IEEE Trans. Ind. Informatics 17(5): 3165-3175 (2021) - 2020
- [j24]Feng Yu, Zhizhong Mao, Dakuo He:
Identification of Time-Varying Hammerstein-Wiener Systems. IEEE Access 8: 136906-136916 (2020) - [j23]Honghai Wang, Qing-Long Han, Jianchang Liu, Dakuo He:
Discrete-time filter proportional-integral-derivative controller design for linear time-invariant systems. Autom. 116: 108918 (2020) - [j22]Le Yang, Dakuo He, Bo Li:
A Selection Hyper-Heuristic Algorithm for Multiobjective Dynamic Economic and Environmental Load Dispatch. Complex. 2020: 4939268:1-4939268:18 (2020) - [j21]Xin Li, Qiang Zhang, Dakuo He:
Observer-Based Adaptive Fuzzy Predefined Performance Control of a Class of Nonlinear Pure-Feedback Systems with Input Delay. Complex. 2020: 8859328:1-8859328:12 (2020) - [j20]Haifeng Sang, Zi-Zhen Chen, Dakuo He:
Human Motion prediction based on attention mechanism. Multim. Tools Appl. 79(9-10): 5529-5544 (2020) - [j19]Hao Yan, Fuli Wang, Dakuo He, Qingkai Wang:
An Operational Adjustment Framework for a Complex Industrial Process Based on Hybrid Bayesian Network. IEEE Trans Autom. Sci. Eng. 17(4): 1699-1710 (2020)
2010 – 2019
- 2019
- [j18]Dakuo He, Zhengsong Wang, Qing Liu, Jiahui Shi, Le Yang, Qingkai Wang, Jianjun Zhao:
Process Feature Change Recognition Based on Model Performance Monitoring and Adaptive Model Correction for the Gold Cyanidation Leaching Process. IEEE Access 7: 28955-28967 (2019) - [j17]Kang Li, Fuli Wang, Dakuo He, Luping Zhao:
A Data-Driven Compensation Method for Production Index of Hydrometallurgical Process. IEEE Access 7: 50573-50580 (2019) - [j16]Haifeng Sang, Ziyu Zhao, Dakuo He:
Two-Level Attention Model Based Video Action Recognition Network. IEEE Access 7: 118388-118401 (2019) - [j15]Qing Liu, Dakuo He, Zhengsong Wang, Jiahui Shi:
A Data-Driven Iterative Optimization Compensation Method Based on PJIT-PLS for Gold Cyanidation Leaching Process. IEEE Access 7: 138683-138693 (2019) - [j14]Zhiqiang Wang, Dakuo He, Bo Li:
Clustering of Copper Flotation Process Based on the AP-GMM Algorithm. IEEE Access 7: 160650-160659 (2019) - [j13]Dong Xiao, Hongzong Li, Ba Tuan Le, Shengyong Zhang, Jichun Wang, Dakuo He, Xiaorui Fu:
Research on a Method of Gross Error Elimination for Slope Monitoring Data Based on Machine Learning. IEEE Access 7: 164682-164695 (2019) - [j12]Haifeng Sang, Chuanzheng Wang, Dakuo He, Qing Liu:
Multi-Information Flow CNN and Attribute-Aided Reranking for Person Reidentification. Comput. Intell. Neurosci. 2019: 7028107:1-7028107:12 (2019) - [j11]Zhengsong Wang, Zhen Pan, Dakuo He, Jiahui Shi, Shouxin Sun, Yue Hou:
Simulation Modeling of a Pharmaceutical Tablet Manufacturing Process via Wet Granulation. Complex. 2019: 3659309:1-3659309:16 (2019) - [j10]Ba Tuan Le, Dong Xiao, Yachun Mao, Dakuo He, Jialiu Xu, Liang Song:
Coal Quality Exploration Technology Based on an Incremental Multilayer Extreme Learning Machine and Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. 57(7): 4192-4201 (2019) - 2018
- [j9]Ba Tuan Le, Dong Xiao, Yachun Mao, Dakuo He, Shengyong Zhang, Xiaoyu Sun, Xiaobo Liu:
Coal Exploration Based on a Multilayer Extreme Learning Machine and Satellite Images. IEEE Access 6: 44328-44339 (2018) - [j8]Dakuo He, Le Yang, Xiaocui Tian, Zhengsong Wang:
An Overlapped Decomposition Optimization Method for Dynamic Economic Dispatch. IEEE Access 6: 45804-45820 (2018) - 2017
- [j7]Zhengsong Wang, Dakuo He, Xu Zhu, Jiahuan Luo, Yu Liang, Xu Wang:
Data-Driven Model-Free Adaptive Control of Particle Quality in Drug Development Phase of Spray Fluidized-Bed Granulation Process. Complex. 2017: 4960106:1-4960106:17 (2017) - 2016
- [j6]Dakuo He, Zhengsong Wang, Le Yang, Zhizhong Mao:
Optimization Control of the Color-Coating Production Process for Model Uncertainty. Comput. Intell. Neurosci. 2016: 9731823:1-9731823:12 (2016) - [j5]Dakuo He, Zhengsong Wang, Le Yang, Tongshan Liu, Yao Yao, Zhizhong Mao:
Modeling and Optimization of the Drug Extraction Production Process. Sci. Program. 2016: 3279423:1-3279423:15 (2016) - 2013
- [j4]Shuning Zhang, Fuli Wang, Dakuo He, Fei Chu:
Soft sensor for cobalt oxalate synthesis process in cobalt hydrometallurgy based on hybrid model. Neural Comput. Appl. 23(5): 1465-1472 (2013) - 2012
- [j3]Shuning Zhang, Fuli Wang, Dakuo He, Runda Jia:
Real-time product quality control for batch processes based on stacked least-squares support vector regression models. Comput. Chem. Eng. 36: 217-226 (2012) - [c11]Dakuo He, Shuai Shao, Pingyu Yang, Shuning Zhang:
Research on Diagnosis Method of Predictive Control Performance Model Based on Data. ISNN (2) 2012: 468-477 - 2011
- [j2]Guanghao Hu, Zhizhong Mao, Dakuo He, Fei Yang:
Hybrid modeling for the prediction of leaching rate in leaching process based on negative correlation learning bagging ensemble algorithm. Comput. Chem. Eng. 35(12): 2611-2617 (2011) - [c10]Dakuo He, Yuanyuan Zhao, Lifeng Wang, Hongrui Chang:
Chaotic differential evolution algorithm based on mixed method for large-scale industrial processes of fuzzy model. ICNC 2011: 1381-1385 - 2010
- [c9]Dakuo He, Yuanyuan Zhao, Lifeng Wang, Hongrui Chang:
Research on Differential Evolution Algorithm Based on Interaction Balance Method for Large-Scale Industrial Processes of Fuzzy Model. AICI (1) 2010: 169-176 - [c8]Jianhui Wang, Dakuo He, Xiaoke Fang, Junxin Wu, Lin Xu:
Discussion of Integrated Three-dimensional Teaching Model Based on E-Learning. ICEE 2010: 3898-3900 - [c7]Dakuo He, Hongrui Chang, Qing Chang, Yang Liu:
Particle Swarm Optimization based on the initial population of clustering. ICNC 2010: 2664-2667 - [c6]Dakuo He, Liang Wang, Bing Chen, Yang Liu:
Improved select space multi-objective particle swarm optimization. ICNC 2010: 2764-2768
2000 – 2009
- 2008
- [j1]Xuefa Hu, Zhen Zhao, Shu Wang, Fuli Wang, Dakuo He, Shui-kang Wu:
Multi-stage extreme learning machine for fault diagnosis on hydraulic tube tester. Neural Comput. Appl. 17(4): 399-403 (2008) - [c5]Yan Zheng, Jianhui Wang, Xiaoke Fang, Dakuo He, Lin Xu:
E-learning and Innovation Cultivation. CSSE (5) 2008: 226-228 - [c4]Dakuo He, Lin Xu, Jianhui Wang, Junxin Wu, Yan Zheng:
On the Basis of the Generated Foundation of Blended E-learning - Transcendence and Integration. CSSE (5) 2008: 470-473 - [c3]Lin Xu, Jianhui Wang, Xiaoke Fang, Yan Zheng, Dakuo He:
Research on Experimental Teaching Patterns Based on E-learning. CSSE (5) 2008: 1052-1055 - 2007
- [c2]Shu Wang, Xuefa Hu, Dakuo He, Fuli Wang:
A Fault Diagnosis Method to Hydraulic Tube Tester Production Process. FSKD (4) 2007: 370-373 - [c1]Haifeng Sang, Weiqi Yuan, Fuli Wang, Dakuo He:
Support Vector Machines and Genetic Algorithms for Soft-Sensing Modeling. ISNN (3) 2007: 330-335
Coauthor Index
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