本文针对内河港口集群水域船舶交通流预测难题，创新性地提出融合注意力机制的双向长短期记忆网络（Bi-LSTM）修复轨迹、改进密度聚类算法（MD-DBSCAN）构建交通网络，并开发图注意力时序卷积模型（GAT-TCN）精准预测时空流量，为港口协同调度与智能航行提供 ...

A new study has developed a two-level satellite timing system using a sparse sampling Long Short-Term Memory (LSTM) algorithm. This innovative approach significantly boosts the autonomous time-keeping ...