Bayesian Topology Learning and noise removal from network data

Learning the topology of a graph from available data is of great interest in many emerging applications. Some examples are social networks, internet of things networks (intelligent IoT and industrial IoT), biological connection networks, sensor networks and traffic network patterns. In this paper, a...

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Veröffentlicht in:	Discover Internet of things 2021-12, Vol.1 (1), Article 11
Hauptverfasser:	Ramezani Mayiami, Mahmoud, Hajimirsadeghi, Mohammad, Skretting, Karl, Dong, Xiaowen, Blum, Rick S., Poor, H. Vincent
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Computer Science Cyber-physical systems Electrical Engineering Information Systems Applications (incl.Internet) Internet of Things IoT Optimization Random variables Sensors Signal processing
Online-Zugang:	Volltext
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