Apr 17, 2017 · The experimental results show that our technique can achieve more than 86% accuracy on average and at least 15% better than the baseline Naive ...
The experimental results show that our technique can achieve more than 86% accuracy on average and at least 15% better than the baseline Naive Bayes classifier.
Naive Bayes classifier is generally used in research works where researchers prefer a simple and fast classifier with lesser requirement of training samples.
1) We design a CSI signature-based passive indoor local- ization system, which does not require participation of user devices. 2) We propose a Naive Bayes ...
Sep 1, 2018 · This paper designs a CSI-based passive indoor localization system, develops a Naive Bayes classifier enhanced with confidence level ...
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We present a passive human indoor localization method named FapFi, which fuses CSI amplitude and phase information to fully utilize richer signal ...
This study conducted an experiment with Naïve Bayes in order to classify unknown location of object based on the signal strength of Bluetooth low energy.
Feb 20, 2019 · Channel state information (CSI) can provide more detailed and specific subcarrier information, which has gained the attention of researchers and ...
Jan 5, 2024 · In this paper, we propose a method for indoor intrusion detection and localization that makes use of channel state information (CSI), ...
This work presents a passive human indoor localization method named FapFi, which fuses CSI amplitude and phase information to fully utilize richer signal ...