Abstract: In recent years, the applications of complex-valued neural networks (CVNNs) have gained prominence in radar-related domains, notably in synthetic aperture radar and ground-penetrating radar.

A comprehensive study mapped the dynamic glycosylation landscape of rat serum proteins, uncovering sex- and time-dependent variations with clear cell-type specificity. Researchers found distinct ...

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Abstract: Accurately mapping large-scale cropland is crucial for agricultural production management and planning. Currently, the combination of remote sensing (RS) data and deep learning techniques ...