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- W4296079621 abstract "This paper presents an innovative vehicle monitoring system based on Wi-Fi sniffing devices and real-time data processing using machine learning techniques. Our solution involves the construction of a neural network-based multiclass classifier that can classify the incoming Wi-Fi signal from many sources based on the received signal strength. The solution was carried out by training the neural network to predict different output classes corresponding to different vehicular (0-30Km/h,30-60Km/h, 60-90Km/h, 90-120Km/h) and several pedestrian speed ranges among 0-15Km/h." @default.
- W4296079621 created "2022-09-17" @default.
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- W4296079621 date "2022-07-28" @default.
- W4296079621 modified "2023-10-16" @default.
- W4296079621 title "A passive Wi-Fi based monitoring system for urban flows detection" @default.
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- W4296079621 doi "https://doi.org/10.1109/iaict55358.2022.9887478" @default.
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