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To give a brief introduction to big data analytics, especially the platforms and frameworks, in [100], Cuzzocrea et al. first discuss how recent studies responded the "computational emergency" issue of big data analytics.
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This paper presents a framework for studying human and social behavior, from the perspectives of human decision-making and social interaction, and for incorporating such behavior systematically in a dynamic computational model suitable for emergency egress analysis.
This paper addresses a notorious problem in testing computational models for infrastructure protection and emergency response by means of simulation and animation using realistic scenarios.
Therefore, the decision-making model can be applied as a computational model for the development process of emergency response plans, and will be embedded as a reasoning logic in an emergency command decision support system.
In this paper we address the problem of testing complex computer models for infrastructure protection and emergency response based on detailed and realistic application scenarios using advanced computational methods and tools.
Agent based computational modeling and simulation can capture human behaviors, emergency events, and complex social networks from the bottom up.
This paper addresses the problem of testing complex computer models of infrastructure protection and emergency response situations based on detailed and realistic application scenarios in order to analyze and validate such models by means of advanced computational methods and tools.
Metaheuristics are integrated to efficiently search for a satisfactory solution in order to reduce the computational time, which is crucial for the success of emergency response operations.
Computational tools are now available for the simulation and design of emergency evacuation and egress.
The 2009 H1N1 influenza pandemic highlighted the importance of computational epidemic models for the real-time analysis of the health emergency related to the global spreading of new emerging infectious diseases [ 1- 3].
Computational tools are considered as a good way to plan evacuation by emergency simulation.
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