Through the proposed HGCN method, the retinal image classification model can be trained efficiently by partially labeled samples and the complicated annotating work is not required for the most ...

Finally, we design a classifier, GraphSAT, which integrates GraphSAGE and GAT to deeply learn Flow Graph features, enabling accurate encrypted traffic identification. FG-SAT exhibits both efficient ...

Finally, the outcomes of each model are combined by voting techniques to produce single result for crop cultivation. Performance comparison of Classification techniques based on Soil and Environmental ...