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Jie Hu 0013
Person information
- affiliation: China University of Geosciences, Wuhan, China
- affiliation: Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems, Wuhan, China
Other persons with the same name
- Jie Hu — disambiguation page
- Jie Hu 0001
— University of Electronic Science and Technology of China, Chengdu (and 1 more)
- Jie Hu 0002
- Jie Hu 0003 — Tsinghua University, Department of Automation, State Key Lab of Intelligent Technologies and Systems, Beijing
- Jie Hu 0004 — Shenzhen University, Shenzhen Key Laboratory of Spatial Information Smarting Sensing and Services, China
- Jie Hu 0005 — University of California, Irvine, CA, USA
- Jie Hu 0006 — Hubei University, Wuhan, China (and 2 more)
- Jie Hu 0007
- Jie Hu 0008 — State University of New York at Buffalo, NY, USA
- Jie Hu 0009 — Beijing Jiaotong University, State Key Laboratory of Rail Traffic Control and Safety, Beijing, China (and 1 more)
- Jie Hu 0010 — Tohoku University, Sendai, Japan
- Jie Hu 0011 — The University of Texas at Dallas, Richardson, TX, USA
- Jie Hu 0012 — Sun Yat-Sen University, Guangzhou, China
- Jie Hu 0014 — Zheijiang University, College of Electrical Engineering, Hangzhou, China
- Jie Hu 0015 — Fudan University, ZhongShan Hospital, Shanghai, China
- Jie Hu 0016
- Jie Hu 0017 — University of Southampton, UK
- Jie Hu 0018
- Jie Hu 0019
- Jie Hu 0020
- Jie Hu 0021 — Huawei Noah's Ark Lab
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2020 – today
- 2024
- [j22]Yi Ren
Intelligent Control of Pre-Chamber Pressure Based on Working Condition Identification for the Coke Dry Quenching Process. J. Adv. Comput. Intell. Intell. Informatics 28(3): 644-654 (2024) - [j21]Jie Hu
Dynamic Modeling Framework Based on Automatic Identification of Operating Conditions for Sintering Carbon Consumption Prediction. IEEE Trans. Ind. Electron. 71(3): 3133-3141 (2024) - [j20]Aoxue Yang
Decision Fusion Scheme Based on Mode Decomposition and Evidence Theory for Fault Diagnosis of Drilling Process. IEEE Trans. Ind. Informatics 20(2): 2017-2028 (2024) - [j19]Yuanfeng Huang
Condition Recognition Strategy Based on Fuzzy Clustering With Information Granulation for Blast Furnace. IEEE Trans. Ind. Informatics 20(4): 5864-5873 (2024) - [j18]Jie Hu
Soft-Sensing of Burn-Through Point Based on Weighted Kernel Just-in-Time Learning and Fuzzy Broad-Learning System in Sintering Process. IEEE Trans. Ind. Informatics 20(5): 7316-7324 (2024) - [j17]Xiao Wu
Improvement of Rate of Penetration in Drilling Process Based on TCN-Vibration Recognition. IEEE Trans. Instrum. Meas. 73: 1-12 (2024) - 2023
- [j16]Jie Hu, Chengda Lu, Luefeng Chen, Quanxin Li, Wangnian Li, Hongchao Wei, Min Wu:
Drill-String Dynamics Model of Horizontal Coal Mine Wells Considering Intermittent Borehole Wall Contact. J. Adv. Comput. Intell. Intell. Informatics 27(2): 314-321 (2023) - [j15]Yuanfeng Huang
Condition Recognition Method with Information Granulation for Burden Distribution in Blast Furnace. J. Adv. Comput. Intell. Intell. Informatics 27(4): 585-593 (2023) - [j14]Aoxue Yang
Data Augmentation Considering Distribution Discrepancy for Fault Diagnosis of Drilling Process With Limited Samples. IEEE Trans. Ind. Electron. 70(11): 11774-11783 (2023) - [c4]Huihang Li, Jie Hu, Qingfeng Yang, Luefeng Chen, Min Wu:
Prediction and scheduling for blast furnace gas generation based on time series feature extraction. ICPS 2023: 1-6 - [c3]Haiyang Wei, Luefeng Chen, Jie Hu, Yi Ren, Min Wu, Witold Pedrycz, Kaoru Hirota:
Short - Term Prediction of Coke Pushing Current Peak Based on Improved ARIMA Model. ICPS 2023: 1-6 - [c2]Zhuofu Zhang, Weihua Cao, Jie Hu, Qifu Chen, Min Wu:
Prediction of Silicon Content in Molten Iron of Blast Furnace Based on Multi-dimensional Sequential Characteristic Reconstruction. ICPS 2023: 1-5 - 2022
- [j13]Wendi Huang, Min Wu, Jie Hu
A multi-objective optimisation algorithm for a drilling trajectory constrained to wellbore stability. Int. J. Syst. Sci. 53(1): 154-167 (2022) - [j12]Jie Hu
Weighted Kernel Fuzzy C-Means-Based Broad Learning Model for Time-Series Prediction of Carbon Efficiency in Iron Ore Sintering Process. IEEE Trans. Cybern. 52(6): 4751-4763 (2022) - [j11]Dian Zhang, Min Wu
Tube-Based Adaptive Model Predictive Control for Deviation Correction in Vertical Drilling Process. IEEE Trans. Ind. Electron. 69(9): 9419-9428 (2022) - [c1]Xiao Wu, Xuzhi Lai, Jie Hu, Xin Chen, Weihua Cao, Min Wu:
Rate of penetration prediction using hybrid Gaussian process regression model with ARD structure in geological drilling process. ASCC 2022: 607-612 - 2021
- [j10]Aoxue Yang, Min Wu, Jie Hu
Discrimination and correction of abnormal data for condition monitoring of drilling process. Neurocomputing 433: 275-286 (2021) - [j9]Dian Zhang, Min Wu, Chengda Lu, Luefeng Chen, Weihua Cao, Jie Hu
Intelligent Compensating Method for MPC-Based Deviation Correction with Stratum Uncertainty in Vertical Drilling Process. J. Adv. Comput. Intell. Intell. Informatics 25(1): 23-30 (2021) - [j8]Kailong Zhou, Xin Chen
A New CO/CO$_2$ Prediction Model Based on Labeled and Unlabeled Process Data for Sintering Process. IEEE Trans. Ind. Informatics 17(1): 333-345 (2021) - 2020
- [j7]Sheng Du
Intelligent Integrated Control for Burn-Through Point to Carbon Efficiency Optimization in Iron Ore Sintering Process. IEEE Trans. Control. Syst. Technol. 28(6): 2497-2505 (2020) - [j6]Sheng Du
A Fuzzy Control Strategy of Burn-Through Point Based on the Feature Extraction of Time-Series Trend for Iron Ore Sintering Process. IEEE Trans. Ind. Informatics 16(4): 2357-2368 (2020) - [j5]Jie Hu
Prediction Performance Improvement via Anomaly Detection and Correction of Actual Production Data in Iron Ore Sintering Process. IEEE Trans. Ind. Informatics 16(12): 7602-7612 (2020)
2010 – 2019
- 2019
- [j4]Jie Hu
Hybrid modeling and online optimization strategy for improving carbon efficiency in iron ore sintering process. Inf. Sci. 483: 232-246 (2019) - 2018
- [j3]Min Wu
Optimization of coke ratio for the second proportioning phase in a sintering process base on a model of temperature field of material layer. Neurocomputing 275: 10-18 (2018) - [j2]Jie Hu
A Multilevel Prediction Model of Carbon Efficiency Based on the Differential Evolution Algorithm for the Iron Ore Sintering Process. IEEE Trans. Ind. Electron. 65(11): 8778-8787 (2018) - 2017
- [j1]Xin Chen, Jie Hu
T-S Fuzzy Logic Based Modeling and Robust Control for Burning-Through Point in Sintering Process. IEEE Trans. Ind. Electron. 64(12): 9378-9388 (2017)
Coauthor Index
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