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ORCIDComputers in Industry, Volume 106
Volume 106, April 2019
- Can Cheng, Jianyong Li, Yueming Liu, Meng Nie, Wenxi Wang
:
Deep convolutional neural network-based in-process tool condition monitoring in abrasive belt grinding. 1-13 - Bin Zhang, Shaohui Zhang, Weihua Li:
Bearing performance degradation assessment using long short-term memory recurrent network. 14-29 - Anna Myrodia, Thomas Randrup, Lars Hvam:
Configuration lifecycle management maturity model. 30-47 - Renxiang Chen, Xin Huang, Lixia Yang, Xiangyang Xu, Xia Zhang, Yong Zhang:
Intelligent fault diagnosis method of planetary gearboxes based on convolution neural network and discrete wavelet transform. 48-59 - Deisy Chaves, Emanuele Trucco, Juan Barraza, María P. Trujillo:
An image processing system for char combustion reactivity characterisation. 60-70 - Xincheng Cao, Binqiang Chen, Bin Yao, Wangpeng He:
Combining translation-invariant wavelet frames and convolutional neural network for intelligent tool wear state identification. 71-84 - Siyu Shao, Pu Wang, Ruqiang Yan:
Generative adversarial networks for data augmentation in machine fault diagnosis. 85-93
- (Withdrawn) An integrated neutrosophic ANP and VIKOR method for achieving sustainable supplier selection: A case study in importing field. 94-110
- Gabriel da Silva Serapião Leal, Wided Guédria, Hervé Panetto:
Interoperability assessment: A systematic literature review. 111-132
- Abdulaziz Alarifi, Amr Tolba:
Optimizing the network energy of cloud assisted internet of things by using the adaptive neural learning approach in wireless sensor networks. 133-141
- M. M. Manjurul Islam, Jong-Myon Kim:
Automated bearing fault diagnosis scheme using 2D representation of wavelet packet transform and deep convolutional neural network. 142-153
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