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Hua Zhang 0012
Person information
- affiliation: Wuhan University of Science and Technology, School of Machinery and Automation, China
Other persons with the same name
- Hua Zhang — disambiguation page
- Hua Zhang 0001 — Beijing University of Posts and Telecommunications, State Key Laboratory of Networking and Switch Technology, China
- Hua Zhang 0002 — Southeast University, National Mobile Communications Research Laboratory, Nanjing, China (and 2 more)
- Hua Zhang 0003 — Tianjin University of Technology, Key Laboratory of Computer Vision and System, Tianjin, China (and 1 more)
- Hua Zhang 0004 — Chongqing University of Technology, School of Mathematics and Statistics, China (and 2 more)
- Hua Zhang 0005 — China University of Mining & Technology, Xuzhou, China
- Hua Zhang 0006 — Southwest Jiaotong University
- Hua Zhang 0007 — Southern Medical University, Guangdong, China
- Hua Zhang 0008 — Chinese Academy of Sciences, State Key Lab of Information Security, Beijing, China (and 1 more)
- Hua Zhang 0009 — CAS, Institute of Automation
- Hua Zhang 0010 — Yunan Normal University, Department of Mathematics (and 1 more)
- Hua Zhang 0011 — Zhejiang Gongshang University, Hangzhou (and 2 more)
- Hua Zhang 0013 — Nanchang University, School of Mechatronics Engineering, China
- Hua Zhang 0014 — Xidian University, National Laboratory of Radar Signal Processing
- Hua Zhang 0015 — Xidian University, School of Aerospace Science and Technology
- Hua Zhang 0016 — Nanyang Technological University
- Hua Zhang 0017 — Key Laboratory of Robot and Welding Automation
- Hua Zhang 0018 — Google (and 1 more)
- Hua Zhang 0019 — The University of Texas at Dallas
- Hua Zhang 0020 — Shijiazhuang University of Applied Technology, China
- Hua Zhang 0021 — Texas A&M University, Corpus Christi, TX, USA (and 3 more)
- Hua Zhang 0022 — San Diego State University, Department of Electrical and Computer Engineering, CA, USA (and 1 more)
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2020 – today
- 2024
- [j16]Huang Shunhu, Ma Feng, Qingshan Gong, Hua Zhang:
Efficient low-carbon manufacturing for CFRP composite machining based on deep networks. Int. J. Prod. Res. 62(17): 6090-6101 (2024) - 2023
- [j15]Xugang Zhang, Qian He, Hua Zhang, Zhigang Jiang, Yan Wang:
Big data-based research on active remanufacturing comprehensive benefits evaluation of mechanical product. Int. J. Comput. Integr. Manuf. 36(4): 590-610 (2023) - 2022
- [j14]Hua Zhang, Xue He, Wei Yan, Zhigang Jiang, Shuo Zhu:
A machine learning-based approach for product maintenance prediction with reliability information conversion. Auton. Intell. Syst. 2(1): 1-11 (2022) - [j13]Wei Yan, Chenxun Lu, Ying Liu, Xumei Zhang, Hua Zhang:
An Energy Data-Driven Approach for Operating Status Recognition of Machine Tools Based on Deep Learning. Sensors 22(17): 6628 (2022) - 2021
- [j12]Feng Ma, Hua Zhang, Qingshan Gong, Kwok Keung Bernard Hon:
A novel energy efficiency grade evaluation approach for machining systems based on inherent energy efficiency. Int. J. Prod. Res. 59(19): 6022-6033 (2021) - [j11]Shengqiang Li, Hua Zhang, Wei Yan, Zhigang Jiang:
A hybrid method of blockchain and case-based reasoning for remanufacturing process planning. J. Intell. Manuf. 32(5): 1389-1399 (2021) - [c4]Binbin Huang, Guozhang Jiang, Wei Yan, Zhigang Jiang, Chenxun Lu, Hua Zhang:
Data-driven method for predicting energy consumption of machine tool spindle acceleration. CASE 2021: 528-533 - 2020
- [j10]Zhouyang Ding, Zhigang Jiang, Hua Zhang, Wei Cai, Ying Liu:
An integrated decision-making method for selecting machine tool guideways considering remanufacturability. Int. J. Comput. Integr. Manuf. 33(7): 686-700 (2020) - [j9]Xiao-Yong Zhu, Hua Zhang, Zhigang Jiang:
Application of green-modified value stream mapping to integrate and implement lean and green practices: A case study. Int. J. Comput. Integr. Manuf. 33(7): 716-731 (2020)
2010 – 2019
- 2019
- [j8]Zhigang Jiang, Ya Jiang, Yan Wang, Hua Zhang, Huajun Cao, Guangdong Tian:
A hybrid approach of rough set and case-based reasoning to remanufacturing process planning. J. Intell. Manuf. 30(1): 19-32 (2019) - [j7]Xugang Zhang, Xiuyi Ao, Zhigang Jiang, Hua Zhang, Wei Cai:
A remanufacturing cost prediction model of used parts considering failure characteristics. Robotics Comput. Integr. Manuf. 59: 291-296 (2019) - [c3]Hua Shao, Hua Zhang, Wei Yan:
Kinematic/Dynamic analysis and optimization of a 2-PRU-PPRC 2T1R redundant parallel manipulator with specified workspace. RCAR 2019: 136-142 - 2018
- [j6]Yan Zhou, Hua Zhang, Wei Yan, Feng Ma, Gongfa Li, Wenjun Chang:
Energy consumption component analysis mathematical model of grinder energy unit. Int. J. Comput. Sci. Math. 9(6): 612-620 (2018) - [j5]Yan Zhou, Hua Zhang, Wei Yan, Feng Ma, Gongfa Li, Wentao Cheng:
Energy consumption prediction model of plane grinder processing system based on BP neural network. Int. J. Wirel. Mob. Comput. 14(4): 320-327 (2018) - [c2]Shuo Zhu, Hua Zhang, Zhigang Jiang, Qingshan Gong:
Research on Dynamic Integrated Energy Efficiency Model of CNC Machine Tools Based on DEVS. SMC 2018: 1380-1385 - 2016
- [j4]Qin Xiang, Hua Zhang, Zhigang Jiang, Shuo Zhu, Wei Yan:
A Decision-making Method for Active Remanufacturing Time Based on Environmental and Economic Indicators. Int. J. Online Eng. 12(12): 32-37 (2016) - 2015
- [j3]Xugang Zhang, Hua Zhang, Zhigang Jiang, Yanhong Wang:
An integrated model for remanufacturing process route decision. Int. J. Comput. Integr. Manuf. 28(5): 451-459 (2015) - 2014
- [j2]Yanhong Wang, Hua Zhang, Zhigang Jiang, Gang Zhao:
Data analysis and evaluation system for resource and environmental attributes in the manufacturing process. Int. J. Comput. Integr. Manuf. 27(4): 372-381 (2014) - 2012
- [j1]Zhigang Jiang, Hua Zhang, Wei Yan, Min Zhou, Gongfa Li:
A method for evaluating environmental performance of machining systems. Int. J. Comput. Integr. Manuf. 25(6): 488-495 (2012) - 2010
- [c1]Gongfa Li, Jianyi Kong, Guozhang Jiang, Hua Zhang, Zhigang Jiang, Gang Zhao, Liangxi Xie:
Energy Efficiency Evaluation for Iron and Steel High Energy Consumption Enterprise. ISIA 2010: 684-690
Coauthor Index
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last updated on 2024-11-07 21:30 CET by the dblp team
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