Scientific Research Publishing

Covariant-Scale: Riemannian Manifold Learning for Scale-Invariant Video Anomaly Detection ()

Video-Based Anomaly Detection, Urban Surveillance, Scale-Projective Ambiguity, Riemannian Manifold, Scale-Covariant Tracking, ...
Scientific Research Publishing

Neutrino Oscillation, Radioactive Decay, Magmatic Activity and Earthquake Formation ()

Geodynamics, Neutrino Oscillation-Induced Radioactive Decay, Magmatic Activity, Earthquake Mechanism, Earthquake Precursor ...
IEEE

Adaptive Gradient Neural Networks for Solving the Time-Varying Sylvester Equation

Abstract: This paper develops several new dynamical designs, based on the gradient neural network (GNN), from the perspective of control theory to solve the time-varying Sylvester equation (TVSE). We ...
IEEE

Fixed-Time Gradient Flows for Solving Constrained Optimization: A Unified Approach

Abstract: The accelerated method in solving optimization problems has always been an absorbing topic. Based on the fixed-time (FxT) stability of nonlinear dynamical systems, we provide a unified ...