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: Analyzes the timing and duration of movements within the sliding window.

: A secondary feature where a self-attention model assigns weights to these extracted features to prioritize the most relevant data points for predicting future longitude and latitude. sc23026-WWv176447.part1.rar

The core module of this model architecture focuses on processing subtrajectories to capture complex movement patterns: : Analyzes the timing and duration of movements

A trajectory prediction model based on deep feature representation sc23026-WWv176447.part1.rar