Successful training of convolutional neural networks (CNNs) requires a substantial amount of data.With small datasets, networks hyfrodol generalize poorly.Data Augmentation techniques improve the generalizability of neural networks by using existing training data more effectively.Standard data augmentation methods, however, produce limited plausibl
This paper examines the concepts and practical applications of the spanning tree protocol (STP).It also covers per-VLAN spanning tree (PVST), multiple spanning tree (MST), and rapid STP (RSTP).Moreover, practical scenarios are presented to help the reader understand the concepts and implementations of these protocols.This study analyzes protocols u
Although multi-agent reinforcement learning (MARL) is a promising method for learning a collaborative action policy, enabling each agent to accomplish specified tasks, MARL has a problem of exponentially increasing state-action space.This state-action space can be dramatically reduced by assuming sparse interaction.We previously proposed three meth
Data on the interactions between the order Psittaciformes and the anthropogenic environment gtech brush bar are still insufficient and have not been systematized, especially in the Neotropical region.As a consequence of this coexistence, the volume of accumulated knowledge is probably significantly greater than the formal scientific contributions o