Multimodal object detection in remote sensing faces challenges due to semantic heterogeneity and modality-specific noise interference. To this end, we propose SuppreSensing, which reformulates multimodal fusion as a selective collaboration process that jointly models shared information and modality-specific cues. Suppr...
Xin Wu, Zhen-Yu Gao, Qian-Kun Zhang et al.· 0 citations
CR-CMAB is proposed, a channel reciprocity-guided combinatorial multi-armed bandit framework that outperforms baseline methods with moderate computational time, yielding more strategically positioned BSs and shorter flight corridors in future smart cities.
A reinforcement learning (RL)-based air traffic management system that integrates both noise and safety considerations within a unified, decentralized framework and demonstrates strong performance across both objectives and reveals tradeoffs among separation, noise exposure, and energy efficiency under high traffic den...