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• W4200479789 abstract "Edge intelligence capability is expected to enable the development of a new paradigm integrated with edge computing and artificial intelligence. However, due to the multisource nature, heterogeneity, and a large scale of the sensory data, it is necessary to improve the data processing and decision-making capacity for the edges. Hence, this paper asserts that information fusion is an important technique to power the capacity of edge intelligence in terms of collection, communication, computing, caching, control and collaboration. Specifically, it provides a comprehensive investigation of four representative scenarios assisted by information fusion at the edge, i.e., multisource information fusion, real-time information fusion, event-driven information fusion, and context-aware information fusion. Moreover, it discusses the future directions and open issues in this field." @default.
• W4200479789 created "2021-12-31" @default.
• W4200479789 creator A5001398914 @default.
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• W4200479789 creator A5068322072 @default.
• W4200479789 date "2022-05-01" @default.
• W4200479789 modified "2023-10-11" @default.
• W4200479789 title "Information fusion for edge intelligence: A survey" @default.
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• W4200479789 doi "https://doi.org/10.1016/j.inffus.2021.11.018" @default.
• W4200479789 hasPublicationYear "2022" @default.
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