IEEE

A Fixed-Time Proximal Gradient Neurodynamic Network With Time-Varying Coefficients for Composite Optimization Problems and Sparse Optimization Problems With Log-Sum Function

Abstract: This article presents a novel proximal gradient neurodynamic network (PGNN) for solving composite optimization problems (COPs). The proposed PGNN with time-varying coefficients can be ...
GitHub

LogLLM: Log-based Anomaly Detection Using Large Language Models

Experimental Results on HDFS, BGL, Liberty, and Thunderbird datasets. The best results are indicated using bold typeface.
IEEE

Definition and Identification of Limit State Function for Low Complexity Modeling of Power System Reliability-Constrained Economic Dispatch

Abstract: Incorporating reliability constraints in economic dispatch is challenging considering massive system states resulting from random component failures and renewable energy (RE) uncertainties.