Modern configurable software systems need to learn models that correlate configuration and performance. However, when the system operates in dynamic environments, the workload variations, hardware ...

Abstract: Fuzzy recurrent stochastic configuration networks (FRSCNs) are a class of randomized neurofuzzy models that have shown success in modeling nonlinear dynamic systems. However, the data ...

This study explores the use of formal verification techniques to evaluate the efficacy of suggestions made by the Runway Configuration Assistance (RCA) tool, a machine learning-based decision support ...

This repository contains the implementation of Graph Neural Network (GNN)-based variational autoencoders used to learn representations of Multi-Access Point Coordination (MAPC) configurations in IEEE ...

Cybersecurity researchers have discovered a new phishing campaign that's being used to distribute malware called Horabot targeting Windows users in Latin American countries like Mexico, Guatemala, ...

ABSTRACT: The stochastic configuration network (SCN) is an incremental neural network with fast convergence, efficient learning and strong generalization ability, and is widely used in fields such as ...

Misconfiguration is frequently cited as a leading cause of service disruptions and outages. To prevent misconfiguration, we introduce network contracts — lightweight configuration checks that run ...