Cited By
View all- Hashem ISiddiqa AAlaba FBilal MAlhashmi S(2024)Distributed intelligence for IoT-based smart cities: a surveyNeural Computing and Applications10.1007/s00521-024-10136-y36:27(16621-16656)Online publication date: 22-Jul-2024
A Distributed Anomaly Filtering Algorithm for Heterogeneous Data Based on City Computing
Pages 79 - 83
Abstract
In modern cities, numerous urban perception devices collect and release urban data all the time, but urban data may become abnormal due to environmental interference or artificial tampering. In view of the problem that urban data will face data anomalies, this paper designs a distributed gauss membership anomaly data filtering algorithm, and defines a set of extraction protocols suitable for heterogeneous data. Simulation results show that this algorithm can filter abnormal data in real time, improve the efficiency of urban computing and reduce the cost of network.
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- A Distributed Anomaly Filtering Algorithm for Heterogeneous Data Based on City Computing
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April 2020
563 pages
ISBN:9781450377089
DOI:10.1145/3404555
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- University of Tsukuba: University of Tsukuba
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Published: 20 August 2020
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ICCAI '20
ICCAI '20: 2020 6th International Conference on Computing and Artificial Intelligence
April 23 - 26, 2020
Tianjin, China
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Cited By
View all- Hashem ISiddiqa AAlaba FBilal MAlhashmi S(2024)Distributed intelligence for IoT-based smart cities: a surveyNeural Computing and Applications10.1007/s00521-024-10136-y36:27(16621-16656)Online publication date: 22-Jul-2024
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