GitHub

Multiple Operator Kolmogorov-Arnold Network (MultiOKAN)

Codes for training of Multiple Operator Kolmogorov-Arnold Network (MultiOKAN). The present framework delivers end-to-end, data-driven prediction of multiphase flow evolution from initial ...
IEEE

Uncorrelated Sparse Autoencoder With Long Short-Term Memory for State-of-Charge Estimations in Lithium-Ion Battery Cells

Abstract: For the safe and reliable operation of battery-driven machines, accurate state-of-charge (SOC) estimations are necessary. Unfortunately, existing methods often fail to identify patterns ...
IEEE

An Autoencoder-Based Hybrid Detection Model for Intrusion Detection With Small-Sample Problem

Cyber-attacks have become more frequent, targeted, and complex as the exponential growth in computer networks and the development of Internet of Things (IoT). Network intrusion detection system (NIDS) ...
GitHub

scVAG: Unified Single-Cell Clustering via Variational-Autoencoder Integration with Graph Attention Autoencoder

scVAG is an innovative framework that integrates Variational Autoencoder (VAE) and Graph Attention Autoencoder (GATE) models for enhanced analysis of single-cell gene expression data. Built upon the ...