2018
DOI: 10.1109/access.2018.2879652
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Efficient Classification of Distribution-Based Data for Internet of Things

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Cited by 7 publications
(4 citation statements)
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“…The proposed approach is validated through simulation results using IoT-based networks. Huang et al [10] proposed an efficient data distribution scheme for IoT-based systems using sample-based modeling. In addition, a Bayesian classification method is used to estimate the distribution metrics.…”
Section: Related Workmentioning
confidence: 99%
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“…The proposed approach is validated through simulation results using IoT-based networks. Huang et al [10] proposed an efficient data distribution scheme for IoT-based systems using sample-based modeling. In addition, a Bayesian classification method is used to estimate the distribution metrics.…”
Section: Related Workmentioning
confidence: 99%
“…The proposed approach is validated through simulation results using IoT-based networks Huang et al [10] Efficient data distribution schemes A Bayesian classification method is used to estimate the distribution metrics. The proposed mechanism is validated over empirical study analyzed over real datasets with online travel sites…”
Section: Proposed Approachmentioning
confidence: 99%
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“…Meanwhile, multi-UAV networking system attracts many attentions, because it has a The associate editor coordinating the review of this manuscript and approving it for publication was Xin Wang. rapider reaction and performs more efficiently than a single UAV [4]. To improve the access and transmission performance of UAV networks, medium access control (MAC) layer of communications has been developed in isolation [5]. However, combining the scanning function of radar system, radar-communications joint access mechanism shows a great research value in UAV networks by utilizing slots sufficiently [6].…”
Section: Introductionmentioning
confidence: 99%