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In the FLN, long short-term memory (LSTM) encoder processes historical trajectories to extract temporal features of vehicles, while a graph attention network (GAT) handles the LSTM-encoded outputs to ...

But what about an unconventional option, like vanilla? For a long time, vanilla scents got a bad reputation. In many people’s minds, vanilla perfumes are cloying, too sweet, and reminiscent of a ...

Finished evaluating two methods: the vanilla mean-pool and the multi-level attention ... or use the vggish model instead of a lstm extracting MFCCs. Utilize the dataset from Marc and Justin. Comment ...