A customized CNN trained on CIR spectrogram images classifies LOS and NLOS conditions for RIS-based indoor sensing, with reported accuracies of 86 to 99.9 percent across three measured environments.
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AI-Assisted NLOS Sensing for RIS-Based Indoor Localization in Smart Factories
A customized CNN trained on CIR spectrogram images classifies LOS and NLOS conditions for RIS-based indoor sensing, with reported accuracies of 86 to 99.9 percent across three measured environments.