Qsco: A Quantum Scoring Module for Open-set Supervised Anomaly Detection

no code implementations • 25 May 2024 • Yifeng Peng, Xinyi Li, Zhiding Liang, Ying Wang

Open set anomaly detection (OSAD) is a crucial task that aims to identify abnormal patterns or behaviors in data sets, especially when the anomalies observed during training do not represent all possible classes of anomalies.

Distributed 3D-Beam Reforming for Hovering-Tolerant UAVs Communication over Coexistence: A Deep-Q Learning for Intelligent Space-Air-Ground Integrated Networks

no code implementations • 18 Jul 2023 • Sudhanshu Arya, Yifeng Peng, Jingda Yang, Ying Wang

By augmenting the system with the impairments due to hovering and rotational motion, we show that the proposed DQN algorithm can reform the beam in real-time with negligible error.

Q-Learning Reinforcement Learning (RL)