Jian Qin
Title
Cited by
Cited by
Year
A categorical framework of manufacturing for industry 4.0 and beyond
J Qin, Y Liu, R Grosvenor
Procedia cirp 52, 173-178, 2016
9332016
A framework of energy consumption modelling for additive manufacturing using internet of things
J Qin, Y Liu, R Grosvenor
Procedia CIRP 63, 307-312, 2017
372017
Energy consumption modelling using deep learning technique—a case study of EAF
C Chen, Y Liu, M Kumar, J Qin
Procedia CIRP 72, 1063-1068, 2018
322018
Energy consumption modelling using deep learning embedded semi-supervised learning
C Chen, Y Liu, M Kumar, J Qin, Y Ren
Computers & Industrial Engineering 135, 757-765, 2019
212019
Deep learning-driven particle swarm optimisation for additive manufacturing energy optimisation
J Qin, Y Liu, R Grosvenor, F Lacan, Z Jiang
Journal of Cleaner Production 245, 118702, 2020
172020
Multi-source data analytics for AM energy consumption prediction
J Qin, Y Liu, R Grosvenor
Advanced Engineering Informatics 38, 840-850, 2018
152018
Data analytics for energy consumption of digital manufacturing systems using Internet of Things method
J Qin, Y Liu, R Grosvenor
2017 13th IEEE Conference on Automation Science and Engineering (CASE), 482-487, 2017
142017
Industrial Internet of Learning (IIoL): IIoT based pervasive knowledge network for LPWAN—concept, framework and case studies
J Qin, Z Li, R Wang, L Li, Z Yu, X He, Y Liu
CCF Transactions on Pervasive Computing and Interaction 3 (1), 25-39, 2021
32021
A hybrid machine learning approach for energy consumption prediction in additive manufacturing
Y Li, F Hu, J Qin, M Ryan, R Wang, Y Liu
12021
Feature-level data fusion for energy consumption analytics in additive manufacturing
F Hu, Y Liu, J Qin, X Sun, P Witherell
2020 IEEE 16th International Conference on Automation Science and …, 2020
12020
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