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With respect to different geolocation packages available in machine learning community

With respect to different geolocation packages available in machine learning community, GPS does not suits in indoor concentrations as it is obstructed by walls, buildings, high steeps, and in underground as its signals from satellite fade strength to cross adequately obstacles in the course making it ineffective for indoor positioning that is the reason; attention is being given to other technologies such as infrared-based positioning, ultra-wideband positioning, radio frequency identification positioning, and Wi-Fi positioning, which are relatively suitable in discussed concentration. Despite their usefulness, are highly suitable for relatively limited indoor compounds, and once deployed to macro-scale fields; extensively underperform because of huge traffics of received signals from AP users, physical visiting of the area which is also time expensive even though mobile

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