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Computers in Industry, Volume 110
Volume 110, September 2019
- Ruqiang Yan, Xuefeng Chen, Peng Wang, Darian M. Onchis:
Deep learning for fault diagnosis and prognosis in manufacturing systems. 1-2
- Alexandre Lima, Valeria Borodin, Stéphane Dauzère-Pérès, Philippe Vialletelle:
Sampling-based release control of multiple lots in time constraint tunnels. 3-11 - Peter O'Donovan, Colm V. Gallagher, Kevin Leahy, Dominic T. J. O'Sullivan:
A comparison of fog and cloud computing cyber-physical interfaces for Industry 4.0 real-time embedded machine learning engineering applications. 12-35 - Xin Li, Yu Yang, Haiyang Pan, Jian Cheng, Junsheng Cheng:
A novel deep stacking least squares support vector machine for rolling bearing fault diagnosis. 36-47 - Ivan Djordjevic, Dobrila Petrovic, Gordan Stojic:
A fuzzy linear programming model for aggregated production planning (APP) in the automotive industry. 48-63
- Biljana Mileva-Boshkoska, Shaofeng Liu, Guoqing Zhao, Alejandro Fernández, Susana Gamboa, Mariana del Pino, Pascale Zaraté, Jorge E. Hernández, Huilan Chen:
A decision support system for evaluation of the knowledge sharing crossing boundaries in agri-food value chains. 64-80
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