1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.CE2026
Toward Deployable Satellite Anomaly Detection: A Benchmark Study on Large-Scale ESA-ADB Telemetry
Andrea Nguyen, Dafne Rozenberg, Yeying Zhu +1
Satellite anomaly detection is essential for maintaining mission reliability and spacecraft health, yet remains challenging due to the high-dimensional, irregular, and imbalanced n…
cs.LG2023
Satellite Anomaly Detection Using Variance Based Genetic Ensemble of Neural Networks
Mohammad Amin Maleki Sadr, Yeying Zhu, Peng Hu
In this paper, we use a variance-based genetic ensemble (VGE) of Neural Networks (NNs) to detect anomalies in the satellite's historical data. We use an efficient ensemble of the p…
eess.SY2022★ 1 cited
UAV-Assisted Space-Air-Ground Integrated Networks: A Technical Review of Recent Learning Algorithms
Atefeh H. Arani, Peng Hu, Yeying Zhu
Recent technological advancements in space, air, and ground components have made possible a new network paradigm called space-air-ground integrated network (SAGIN). Unmanned aerial…