A hybrid neural network model to detect impulsive maneuvers and pinpoint the start and end of the maneuver window is proposed, outperforming standalone CNN and LSTM models as well as existing dual-structure models overall.
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.