A deep learning-based antenna array synthesis method for varied aperture lengths is proposed in this article. Inspired by natural language processing (NLP), a tri-branched recurrent neural network ...
Abstract: This paper introduces an innovative approach utilizing a deep neural network (DNN) to optimize the modulation scheme for time-modulated antenna array (TMAA) to verify specific side lobe and ...
Introduction: This study aimed to develop an automated approach for assessing upper limb (UL) motor impairment severity in stroke patients using a deep learning framework applied to resting-state ...
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