Salvi, Schostok & Pritchard P.C. reports on 14 intriguing facts about self-driving cars, highlighting their history, benefits ...

Vijay Kumar Soni, a digital payments expert, integrates engineering and AI to build secure, scalable financial platforms. His ...

Graph neural networks (GNNs) have gained traction and have been applied to various graph-based data analysis tasks due to their high performance. However, a major concern is their robustness ...

To address these issues, we leverage the idea of graph disentangling and propose a novel self-representation-based generative graph neural network framework (GraphLP) for end-to-end link prediction, ...

When schools use educational data effectively, they can help students improve their learning outcomes and well-being.

Finally, the performance of this self-learning model-based lateral controller is evaluated and shown to be satisfactory on an open-source autonomous driving platform called CARLA.

Keywords: self-adaptive evolutionary algorithm, graph regularized broad learning system, EEG, seizure detection, epilepsy Citation: Cheng L, Xiong J, Duan J, Zhang Y, Chen C, Zhong J, Zhou Z and Quan ...

2022 Balance Board Math: “Being the graph” through the sense of balance for embodied self-regulation and learning Sofia Tancredi, Julia Wang, Helen Tong Li, Carissa Jiayuan Yao, Genna Macfarlan, and ...