Frontiers

Advancing the Allam Cycle for Carbon Neutral Synthetic Fuels

Interest in supercritical CO2 cycles has been growing in the field of clean power generation from fossil fuels. Numerous ...
IEEE

Transparent Business Process Outcome Prediction Using a Graph Stochastic Attention Mechanism

Abstract: Predictive Process Monitoring (PPM) aims to predict the future states of ongoing process instances. A primary objective is to accurately predict process outcomes while ensuring decision ...
IEEE

Enhancing Graph Structure Learning via Motif-Driven Hypergraph Construction

Abstract: Graph neural networks (GNNs), as a cutting-edge technology in deep learning, perform particularly well in various tasks that process graph structure data. However, their foundation on ...
Frontiers

Multi-perspective hotel operation process anomaly prediction method based on graph transformer and autoencoder

Due to the complexity of hotel operation processes, abnormal situations are inevitable, making proactive anomaly prediction essential for ensuring operational stability. Although current deep learning ...