A new book by one of the founders of research on neural networks covers more than 40 years of scientific work that led to the ...

Abstract: Machine learning models can support decision-making in mobile terminals (MTs) deployments, but their training generally requires massive datasets and abundant computation resources. This is ...

Abstract: Hyperspectral unmixing addresses the challenge of mixed pixels in hyperspectral images by identifying the number of pure pixels (endmembers), extracting their spectral signatures, and ...