Review
Open access
2026
A Review of Machine Learning in Embedded Space Systems: Challenges, Techniques, and Future Directions
This review provides a comprehensive examination of the state of the art in ML for microsatellites, highlighting the constraints inherent in low-power hardware and identifying strategies to overcome them and outlining the most compelling current and future applications.
Mohammed E. Eshaq, M. Sami Zitouni, J. Zabalza et al.
· IEEE Access · 0 citations