Abstract: Significant progress has been achieved by using the graph convolutional network (GCN) in image change detection. However, the limited quantity of labeled data and the inherent speckle noise ...

Abstract: This article investigates the discrete-time fuzzy complex networks (FCNs) event-triggered (ET) synchronization control problem by considering the coupling effect and cyber attacks. To ...

Predicting the long-term response of complex structural systems, such as train-bridge coupled systems (TBC), under seismic conditions presents significant challenges due to high computational ...

This project simulates large-scale production environments—factories, mines, storage units, waste facilities, and drone logistics—using a configurable, cycle-based discrete-event engine. It provides ...