Physics-informed AI learns local rules behind flocking and collective motion behaviors

Researchers at Seoul National University and Kyung Hee University report a framework to control collective motions, such as ring, clumps, mill, flock, by training a physics-informed AI to learn the ...
IEEE

A Novel Speed Estimation Algorithm for a Permanent Magnet Linear Synchronous Motor Using Extended Kalman Filter with Multiple Fading Factors

Abstract: A Suboptimal Multiple Fading Extended Kalman Filter (SMFEKF) for the permanent magnet linear synchronous motor (PMLSM) is proposed to achieve accurate speed estimation and high reliability ...
IEEE

Curvature-Based Piecewise Linear Approximation Method of GELU Activation Function in Neural Networks

Abstract: Artificial neural networks (ANNs) rely significantly on activation functions for optimal performance. Traditional activation functions such as ReLU and Sigmoid are commonly used. However, ...
Frontiers

A collaborative analysis based on multi-objective programming method for energy consumption reduction and governance investment

This paper delves into how to collaboratively reduce emissions of sulfur dioxide, nitrogen oxides, and carbon dioxide through rational energy consumption and governance investment strategies with ...