Abstract

To avoid unnecessary delays, develop an RFID tag antenna using graphene material-based deep learning in this project. The Deep Learning RFID Tag Antenna, a one-atom thick two-dimensional carbon crystal based on graphene material, is suggested as a high-frequency antenna that could improve radio communications. The experimental results reveal that the deep learning method performs well and accurately in predicting the EM response of graphene-based materials, with an accuracy of over 99 percent and a time savings of at least 99 percent.

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