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ORCIDJian Qin 0002
Person information
- affiliation: Cranfield University, Welding Engineering and Laser Processing Centre, School of Aerospace, Transport and Manufacturing, UK
- affiliation: Cardiff University, High-value Manufacturing Research Group, School of Engineering, UK
Other persons with the same name
- Jian Qin — disambiguation page
- Jian Qin 0001
![[0000-0002-7094-2867]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0002-7094-2867")
— Syracuse University, School of Information Studies, NY, USA (and 1 more) - Jian Qin 0003 — Naval Research Academy, Beijing, China
- Jian Qin 0004 — Sun Yat-sen University, First Affliated Hospital, Guangzhou, China
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2020 – today
- 2023
[j8]Fu Hu, Ying Liu, Yixin Li, Shuai Ma, Jian Qin, Jun Song, Xianfang Sun, Qian Tang:
Task-driven data fusion for additive manufacturing: Framework, approaches, and case studies. J. Ind. Inf. Integr. 34: 100484 (2023)- [j7]Jian Qin, Javier Vives, Parthiban Raja, Shakirudeen Lasisi, Chong Wang, Thomas Charrett, Jialuo Ding, Stewart Williams, Jonathan Mark Hallam, Ralph P. Tatam:
Automated Interlayer Wall Height Compensation for Wire Based Directed Energy Deposition Additive Manufacturing. Sensors 23(20): 8498 (2023) - [j6]Yi Yin, Yingtao Tian, Jialuo Ding, Tim Mitchell, Jian Qin:
Prediction of Electron Beam Welding Penetration Depth Using Machine Learning-Enhanced Computational Fluid Dynamics Modelling. Sensors 23(21): 8687 (2023) - [c6]Yuxin Liu, Chong Chen, Tao Wang, Lianglun Cheng, Jian Qin:
Model-Agnostic Meta-Learning for Fault Diagnosis of Industrial Robots. ICAC 2023: 1-6 - [c5]JunJie Song, Chong Chen, Tao Wang, Chuanhua Deng, Lianglun Cheng, Jian Qin:
Fault Diagnosis for Industrial Robots Based on Informer. ICAC 2023: 1-6 - 2022
- [j5]Kaijie Lu, Chong Chen, Tao Wang, Lianglun Cheng, Jian Qin:
Fault diagnosis of industrial robot based on dual-module attention convolutional neural network. Auton. Intell. Syst. 2(1): 1-12 (2022) - [j4]Jian Qin, Yipeng Wang, Jialuo Ding, Stewart Williams:
Optimal droplet transfer mode maintenance for wire + arc additive manufacturing (WAAM) based on deep learning. J. Intell. Manuf. 33(7): 2179-2191 (2022) - [c4]Taiwang Liang, Chong Chen, Tao Wang, Ao Zhang, Jian Qin:
A Machine Learning-Based Approach for Elevator Door System Fault Diagnosis. CASE 2022: 28-33 - 2021
- [j3]Jian Qin, Zhuoqun Li, Rui Wang, Li Li, Zhe Yu, Xun He, Ying Liu:
Industrial Internet of Learning (IIoL): IIoT based pervasive knowledge network for LPWAN - concept, framework and case studies. CCF Trans. Pervasive Comput. Interact. 3(1): 25-39 (2021) - 2020
- [c3]Fu Hu, Ying Liu, Jian Qin, Xianfang Sun, Paul Witherell:
Feature-level Data Fusion for Energy Consumption Analytics in Additive Manufacturing. CASE 2020: 612-617 - [c2]Yixin Li, Fu Hu, Jian Qin, Michael Ryan, Ray Wang, Ying Liu:
A Hybrid Machine Learning Approach for Energy Consumption Prediction in Additive Manufacturing. ICPR Workshops (4) 2020: 622-636
2010 – 2019
- 2019
- [j2]Chong Chen, Ying Liu, Maneesh Kumar, Jian Qin, Yunxia Ren:
Energy consumption modelling using deep learning embedded semi-supervised learning. Comput. Ind. Eng. 135: 757-765 (2019) - 2018
- [j1]Jian Qin, Ying Liu, Roger I. Grosvenor:
Multi-source data analytics for AM energy consumption prediction. Adv. Eng. Informatics 38: 840-850 (2018) - 2017
- [c1]Jian Qin, Ying Liu, Roger I. Grosvenor:
Data analytics for energy consumption of digital manufacturing systems using Internet of Things method. CASE 2017: 482-487
Coauthor Index
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