IEEE

Learning Multi-Pattern Normalities in the Frequency Domain for Efficient Time Series Anomaly Detection

Abstract: Anomaly detection significantly enhances the robustness of cloud systems. While neural network-based methods have recently demonstrated strong advantages, they encounter practical challenges ...
IEEE

Dueling Network Architecture for GNN in the Deep Reinforcement Learning for the Automated ICT System Design

Abstract: This paper presents an improved deep reinforcement learning-based (DRL) approach for end-to-end models using a Graph Neural Network(GNN). The proposed method aims to improve end-to-end deep ...