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期刊
ISSN
0956-5515
刊名
Journal of Intelligent Manufacturing
参考译名
智能化制造业杂志
收藏年代
1999~2024
全部
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2024
2020, vol.31, no.1
2020, vol.31, no.2
2020, vol.31, no.3
2020, vol.31, no.4
2020, vol.31, no.5
2020, vol.31, no.6
2020, vol.31, no.7
2020, vol.31, no.8
题名
作者
出版年
年卷期
Machine learning technique for data-driven fault detection of nonlinear processes
Said, Maroua; ben Abdellafou, Khaoula; Taouali, Okba
2020
2020, vol.31, no.4
Image-based defect detection in lithium-ion battery electrode using convolutional neural networks
Badmos, Olatomiwa; Kopp, Andreas; Bernthaler, Timo; Schneider, Gerhard
2020
2020, vol.31, no.4
Injection molding manufacturing process: review of case-based reasoning applications
Khosravani, Mohammad Reza; Nasiri, Sara
2020
2020, vol.31, no.4
Tool wear predicting based on multi-domain feature fusion by deep convolutional neural network in milling operations
Huang, Zhiwen; Zhu, Jianmin; Lei, Jingtao; Li, Xiaoru; Tian, Fengqing
2020
2020, vol.31, no.4
On mining frequent chronicles for machine failure prediction
de Beuvron, Francois; Sellami, Chayma; Miranda, Carlos; Samet, Ahmed; Tobji, Mohamed Anis Bach
2020
2020, vol.31, no.4
A zero-shot learning method for fault diagnosis under unknown working loads
Gao, Yiping; Gao, Liang; Li, Xinyu; Zheng, Yuwei
2020
2020, vol.31, no.4
Non-dominated sorting modified teaching-learning-based optimization for multi-objective machining of polytetrafluoroethylene (PTFE)
Natarajan, Elango; Kaviarasan, Varadaraju; Lim, Wei Hong; Tiang, Sew Sun; Parasuraman, S.; Elango, Sangeetha
2020
2020, vol.31, no.4
A data-driven decision-making optimization approach for inconsistent lithium-ion cell screening
Liu, Chengbao; Tan, Jie; Wang, Xuelei
2020
2020, vol.31, no.4
Time/sequence-dependent scheduling: the design and evaluation of a general purpose tabu-based adaptive large neighbourhood search algorithm
He, Lei; de Weerdt, Mathijs; Yorke-Smith, Neil
2020
2020, vol.31, no.4
Shop floor data-driven spatial-temporal verification for manual assembly planning
Fang, Wei; Zheng, Lianyu
2020
2020, vol.31, no.4
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