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Two-dimensional (2D) materials, which are only a few atoms thick, are known to exhibit unique electrical, mechanical and ...
Abstract: Hyperspectral unmixing aims to extract basic material (endmember) spectra and estimate their corresponding fractions (abundances) from observed pixels in hyperspectral images (HSIs).
Abstract: This paper presents a novel approach to smart land use planning by integrating Geographic Information Systems (GIS) with Graph Neural Networks (GNN). The primary objectives are to conduct ...