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May 27, 2023 · We propose to leverage the WiFi fingerprint of people in confined areas to monitor and manage the mobility of the crowd in a smart city.
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We propose to leverage the WiFi fingerprint of people in confined areas to monitor and manage the mobility of the crowd in a smart city.
Sep 9, 2021 · This survey attempts to provide a summarized investigation of ML-based Wi-Fi RSSI fingerprinting schemes, including data preprocessing, data ...
Missing: Supervised | Show results with:Supervised
The Wi-Fi Fingerprinting works in two phases namely offline and online phase. This study aims to provide floor and room classification of an indoor environment.
Missing: Supervised WiFi
Oct 22, 2024 · PDF | The aim of indoor localization is to locate the objects inside a location wirelessly. This paper reports the models that predict the ...
Missing: Supervised | Show results with:Supervised
WiFi fingerprinting is one of the widely used techniques for indoor localization. Generally, It involves measuring the signal strength of Wi-Fi access points ( ...
Missing: Supervised | Show results with:Supervised
Apr 2, 2022 · This study reviewed the main WiFi fingerprint-based algorithms for machine learning.
Missing: Supervised | Show results with:Supervised
In recent years, deep-learning-based WiFi fingerprinting has been intensively studied as a promising technology for providing accurate indoor location ...
With the rapid growth of demand for location-based services in indoor environments, Wi-Fi signal fingerprint positioning, as a mainstream indoor positioning ...
This paper proposes CNNLoc, a Convolutional Neural Network based indoor localization system with WiFi fingerprints for multi-building and multifloor ...