A Novel Indoor Localization System Utilizing Machine Learning Based on Bluetooth Lower Power with Cloud Computing by Quanyi Hu et al. proposes to propose a novel indoor localization system in the multi-indoor surroundings making use of cloud computing. Prior scientific studies demonstrate that there are normally problems regarding how to stop signal occlusion and interference in an individual indoor natural environment. Nonetheless, it finds some basic guidelines to guidance our system becoming resistant to interference generated by occlusion while in the multi-indoor atmosphere.
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