Deep neural networks will allow signal transfer of nerve cells to be analyzed in real time in the future. That is the result ...

author = {S. Pourmohammad Azizi, Yaser Kord}, keywords = {Dynamical system, Signal decomposition, Time series, Long short-term memory, Gated recurrent unit, Neural network}, abstract = {In this ...

The State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China Key Laboratory of Networked Control Systems, Chinese Academy of Sciences, ...

Engineering simulations often require significant computational resources and time, which creates barriers for users and can ...

Abstract: Graph Neural Networks (GNNs) have been widely applied to various fields for learning over graph-structured data. They have shown significant improvements over traditional heuristic methods ...

Persistent Link: https://ieeexplore.ieee.org/servlet/opac?punumber=5165369 ...

Abstract: Graph neural networks (GNNs) have been widely used in many fields. Inductive learning has replaced transductive learning as the current mainstream paradigm for GNN training due to its higher ...

Advanced Artificial Intelligence Theoretical and Computational Chemistry Laboratory, School of Chemistry, University of Hyderabad, Hyderabad, Telangana 500046, India ...

As the name suggests, neural networks are inspired by the brain. A neural network is designed to mimic how our brains work to recognize complex patterns and improve over time. Neural networks ...