AI and AR are transforming industrial IoT by enabling real-time data processing, enhancing operational efficiency, and ...

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Methods: To address these challenges, we propose PoseGCN, a Graph Convolutional Network (GCN)-based model that integrates spatial, temporal, and contextual features through a novel framework. PoseGCN ...

GraphPro is a versatile and pluggable OO python library designed for leveraging deep graph learning representations to gain insights into structural proteins and ...

In this study, we propose a novel algorithmic trading model CNN-TA using a 2-D convolutional neural network based on image processing properties. In order to convert financial time series into 2-D ...

Abstract: In human body action recognition, graph convolution networks (GCN) show remarkable capability, compared to other deep learning methods, in capturing latent correlations within human body ...

Finally, a Brain-Inspired Fuzzy Graph Convolutional Network (BI-FGCN) is proposed. In BI-FGCN, white-boxed convolutional operations are designed based on the mathematical model. Experimental results ...

The government agency responsible for providing IT services, Shared Services Canada (SSC), confirmed in an email that it blocked the streaming sites on all networks it manages late last year.