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ORCIDSpringSim 2011: Boston, MA, USA
- Andreas Tolk:
2011 Spring Simulation Multi-conference, SpringSim '11, Boston, MA, USA, April 03-07, 2011. Volume 5: Proceedings of the 2011 Emerging M&S Applications in Industry and Academia Symposium (EAIA). SCS/ACM 2011
M&S and engineering
- Joseph Barjis, Irina Rychkova, Levent Yilmaz:
Modeling and simulation driven software development. 4-10 - Jan Podrouzek:
Wave-pattern processing towards inverse reliability problems. 11-16 - Mohammadsaleh Zakerinia, Seyed Farid Ghaderi:
Short term wind power forecasting using time series neural networks. 17-22
Business and industry simulation
- Agostino G. Bruzzone, Marina Massei, Francesca Madeo, Federico Tarone, Julija Petuhova:
Intelligent agents for pandemic modeling. 23-30 - Dug Hee Moon, Guan Wang, Yang Woo Shin:
An effect of failure distribution of machine to the manufacturing system performance of engine shop. 31-37
Engine shop
- Rafael Diaz, Joshua G. Behr, Mandar Tulpule:
Energy portfolio simulation considering environmental and public health impacts. 38-45 - Joshua G. Behr, Rafael Diaz, Mandar Tulpule, Francesco Longo, Antonio Cimino:
Modeling and simulating the economic and demographic impact of transport infrastructure investment. 46-53
Investment
- Frank Riddick, Deogratias Kibira, Y. Tina Lee, Stephen Balakirsky:
A component-based approach for manufacturing simulation. 54-61
Other emerging applications
- Christoph Laroque, Jonas Schulte:
KoProV: a learning approach for coordinated learning of modeling and simulation based on knowledge modules. 62-67 - Edgar C. Portante, Brian A. Craig, Leah E. Talaber Malone, James A. Kavicky, Stephen F. Folga, Stewart Cedres:
A model for simulating impacts of seismic events on large power systems. 68-75 - Yilin Huang, Mamadou D. Seck, Alexander Verbraeck:
A DEVS library for rail operations simulation. 76-83 - Saikou Y. Diallo, Heber Herencia-Zapana, Jose J. Padilla, Andreas Tolk:
Understanding interoperability. 84-91 - C. Ariel Pinto, Andreas Tolk, Michael K. McShane:
Emerging M&S application in risk management. 92-96
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