Abstract: In remote sensing image classification, active learning aims to learn a good classifier as best as possible by choosing the most valuable (informative and representative) training samples.

Abstract: Less training samples are a challenging problem in hyperspectral image classification. Active learning and semisupervised learning are two promising techniques to address the problem. Active ...

Unusually for an active-template synthesis, the metal binding site “lives on” in these rotaxanes. This was exploited in the synthesis of a molecular shuttle containing two different ligating sites in ...

Self-assembled supramolecular nanotubes of J-aggregated amphiphilic cyanine dye in aqueous solution are employed as chemically active templates for the photoinitiated formation of silver nanowires ...

The goal of this template is to provide a straightforward and efficient approach to enterprise application development, leveraging the power of Clean Architecture and ASP.NET Core. Using this template ...