Abstract: Accurate segmentation of pulmonary infection regions is critical for diagnosing respiratory diseases such as COVID-19 and pneumonia. Although recent deep learning approaches have achieved ...
WASHINGTON — Researchers have developed a holographic data storage approach that stores and retrieves information in three dimensions by combining three properties of light — amplitude, phase and ...
Abstract: This study evaluates the error resilience performance of a MIMO system combining Alamouti space time block coding (STBC) with convolutional encoding and ...
To improve the classification accuracy of motor imagery EEG signals, In this research I propose the CLT model, which combines three architectures sequentially: Convolutional Neural Network (CNN), Long ...
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