Dynamic Network Model for Smart City Data-Loss Resilience Case Study: City-to-City Network for Crime Analytics

Dynamic Network Model for Smart City Data-Loss Resilience Case Study: City-to-City Network for Crime Analytics

Today's cities generate tremendous amounts of data, thanks to a boom in affordable smart devices and sensors. The resulting big data creates opportunities to develop diverse sets of context-aware services and systems, ensuring smart city services are optimized to the dynamic city environment. C...

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Bibliographic Details
Main Authors: Olivera Kotevska, A. Gilad Kusne, Daniel V. Samarov, Ahmed Lbath, Abdella Battou
Format: Article
Language:English
Published: IEEE 2017-01-01
Series:IEEE Access
Subjects:
Adaptive algorithms
geospatial analysis
predictive models
statistical learning
Online Access:https://ieeexplore.ieee.org/document/8066282/

Internet

https://ieeexplore.ieee.org/document/8066282/

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