Traditional satellite impulsive maneuver detection methods suffer from low accuracy, unreliable time estimation, dependence on manual parameters, and poor noise robustness. This paper proposes a hybrid neural network model to detect impulsive maneuvers and pinpoint the start and end of the maneuver window. First, the m...
Jun-Jie Wang, Xiao-Gang Pan, Jiong-Qi Wang et al.· International Conference on...· 0 citations
This paper studies heterogeneous cooperative task planning for time-constrained multi-object response under incomplete information. The problem is motivated by dense dynamic-object scenarios in which multiple resource types must be coordinated within limited response windows while both object states and object attribut...
Xiao-Ning Wang, Xiao-Xuan Li, Xiao-Gang Pan et al.· 2026 12th International Conf...· 0 citations
FAMAS-G is presented, a lightweight conflict-aware extension of greedy scheduling rather than a new optimization framework that improves greedy scheduling under contention while retaining single-pass, sub-second execution.
This work proposes CMSA-MSWOA, which integrates elite opposition-based learning and Lévy flights to navigate the fragmented feasible solution space and offers a useful simulation-based closed-loop framework for resource scheduling in denial environments.
