A Review of Joint Applications of IoT and Deep Learning

Abstract

In recent years, graph convolutional networks (GCNs) have been widely used in image classification tasks. The combination of GCNs and the Internet of Things (IoT) has led to the development of some branches of the latter. This paper explores cases where convolutional neural networks and GCNs are combined with IoT to achieve better results. This paper also focuses on discussing the semi-supervised classification task of GCNs. The innovative approach explored for innovative GCNs dealing with semi-supervised classification tasks lies in optimizing the GCN topology and using graph convolutional operations in the topological space for better training of the model.