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• W4360605095 abstract "The Internet of Things (IoT), satellite communication, and other communication systems that utilize radio frequency waveforms frequently use modern wireless communication technologies. Wireless communication provides benefits over conventional communication due to its simple installation. One of the most well-known of them is Optical Camera Communication (OCC) technology, which has several advantages, including no negative effects on human health, good security, and inexpensive operating expenses. In this paper, we offer a multiple-input multiple-output modulation method that uses deep learning (DL) to recognize light-emitting diodes and predict thresholds while considering mobility assistance and long-distance communication into considerations. Our suggested strategy employs DL algorithms to enhance the performance of the traditional camera on-off keying (C-OOK) scheme by reducing bit error rate, communication distance., and data rate." @default.
• W4360605095 created "2023-03-24" @default.
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• W4360605095 date "2023-02-20" @default.
• W4360605095 modified "2023-09-27" @default.
• W4360605095 title "Development of MIMO Scheme-based Optical Camera Communication System using Deep Learning method" @default.
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• W4360605095 doi "https://doi.org/10.1109/icaiic57133.2023.10067044" @default.
• W4360605095 hasPublicationYear "2023" @default.
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