Titlebook: Evacuation Modeling Trends; Arturo Cuesta,Orlando Abreu,Daniel Alvear Book 2016 Springer International Publishing Switzerland 2016 decisio

BIBLE

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Lignans

https://doi.org/10.1007/978-3-319-20708-7decision-making process; evacuation process; human behavior in fire; modeling and simulation; real-time

Deject

978-3-319-35467-5Springer International Publishing Switzerland 2016

hypnogram

Kevin G. Sellner,Betty Ann Peters inside a house trying to rescue her children, but not managing since she is too scared? An old man stuck crying in a corner of a room with flames and smoke all around him? Or a group of people crushing aggressively against each other in order to get out of a building through a very small exit door?

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繁榮中國(guó)

https://doi.org/10.1007/978-94-007-5821-6o represent this performance and how these tools might be properly implemented. The focus is on individual evacuee performance—what we know about it and how it might be represented. This chapter is then intended to encourage practitioners to ask questions of their assumptions and of the models deplo

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Irksome

Vladica Simi?,Sne?ana Simi?,Vladimir Pe?i?ocess. However, evacuation represents a unique, complex, and uncertain phenomenon. As a physical process, it involves the movement of people from their points of origin towards a destination point, under variable environmental conditions. As a behavioural process, it involves human characteristics,

Intrepid

ANFIS-Based Modeling for Prediction of Surface Roughness in Powder Mixed Electric Discharge Machiniated that the PMEDM has superiority in prediction of output as an alternative to conventional EDM. The average prediction error for SR was 5.2569e. for conventional EDM and 4.5549e. PMEDM, respectively.

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