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New Frontiers in Quantitative Methods in Informatics

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Cover of 'New Frontiers in Quantitative Methods in Informatics'

Table of Contents

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    Book Overview
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    Chapter 1 Geofenced Broadcasts via Centralized Scheduling of Device-to-Device Communications in LTE-Advanced
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    Chapter 2 Analysis of Performance in Depth Based Routing for Underwater Wireless Sensor Networks
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    Chapter 3 Performance Evaluation of a Secure and Scalable E-Voting Scheme Using PEPA
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    Chapter 4 Modeling Crowd Behavior in a Theater
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    Chapter 5 Vs-Driven Big Data Process Development
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    Chapter 6 Capacity Planning of Fog Computing Infrastructures for Smart Monitoring
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    Chapter 7 Performance Degradation and Cost Impact Evaluation of Privacy Preserving Mechanisms in Big Data Systems
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    Chapter 8 Auto-Scaling in Data Stream Processing Applications: A Model-Based Reinforcement Learning Approach
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    Chapter 9 $$\mathtt {Entang{\lambda }}$$ Entang λ e: A Translation Framework from Quipper Programs to Quantum Markov Chains
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    Chapter 10 Analysis of Non-Markovian Systems in GreatSPN
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    Chapter 11 Evaluation of Iterative Methods on Large Markov Chains Generated by GSPN Models
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    Chapter 12 Mean Field Analysis for Continuous Time Bayesian Networks
Attention for Chapter 4: Modeling Crowd Behavior in a Theater
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Chapter title
Modeling Crowd Behavior in a Theater
Chapter number 4
Book title
New Frontiers in Quantitative Methods in Informatics
Published by
Springer, Cham, December 2017
DOI 10.1007/978-3-319-91632-3_4
Book ISBNs
978-3-31-991631-6, 978-3-31-991632-3
Authors

Enrico Barbierato, Marco Gribaudo, Mauro Iacono, Alexander H. Levis

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Professor 1 100%
Readers by discipline Count As %
Computer Science 1 100%

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