Abstract: Single-image super-resolution (SISR) is essential for improving the extraction of useful information from images captured in the real world. Most existing super-resolution methods generally ...
Abstract: We address the critical problem of interference rejection in radio-frequency (RF) signals using a data-driven approach that leverages deep-learning methods. A primary contribution of this ...
Separation processes are inevitably needed in the pharmaceutical industry, whether it is for purification of the active pharmaceutical ingredient (API) or intermediate, or for separating the ...
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