Titlebook: Data Science and Internet of Things; Research and Applica Giancarlo Fortino,Antonio Liotta,Alessandro Longhe Book 2021 Springer Nature Swit

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Incumbent

Evolutionary Dynamics and Multiplexity for Mobile Edge Computing in a Healthcare Scenario,nteractions, acquire a growing scientific interest. In particular, this can become decisive to establish innovation in healthcare. Complex networks theory and evolutionary dynamics can play a key role in designing a smart healthcare system, and enable to provide statistical estimators to understand

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Correlations Among Game of Thieves and Other Centrality Measures in Complex Networks,ctions in a network is described by a set of centrality metrics which represent one of the most important results of SNA. Degree, closeness, betweenness and clustering coefficient are the most used centrality measures. Their use is, however, severely hampered by their computation cost. This issue ca

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Collaborative Solutions for Unmanned Aerial Vehicles, to encounter a greater number of UAVs over our cities, citizens, and critical infrastructures. Such changes impose new requirements in terms of safety, coordination, and operations management that must be properly addressed. In this chapter, we provide an overview of the main challenges that UAVs o

cyanosis

Graph and Network Theory for the Analysis of Criminal Networks,ogy. This chapter provides an overview of key methods and tools that may be used for the analysis of criminal networks, which are presented in a real-world case study. Starting from available juridical acts, we have extracted data on the interactions among suspects within two Sicilian Mafia clans, o

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A Data Mining Approach for Indoor Navigation Systems in IoT Scenarios, Indoor Navigation Systems (INS) generates considerable amount of data which can be used in navigation as a data-driven approach. In this paper, a navigation method has been proposed based on data mining techniques which enables value added services for end-users in different IoT scenarios such as a

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https://doi.org/10.1007/978-1-84882-052-4propose a software architecture which combines cloud and edge computing with collaborative body sensor networks (CBSNs) to support the development of CBSNs-enabled services and in particular we provide its case-study in the context of multi-user AR.