A hybrid CNN-LSTM-attention-Adaboost model tuned by a multi-strategy improved snake optimizer claims to cut trajectory prediction MAPE to 1.35%, but the result rests on a single route, no separate test set, and a mislabeled 39.89% improvement metric.
Computer Applications2021, 41(S1):pp.277-282
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
cs.LG 1years
2025 1verdicts
REJECT 1roles
background 1polarities
background 1representative citing papers
citing papers explorer
-
Multi-Strategy Improved Snake Optimizer Accelerated CNN-LSTM-Attention-Adaboost for Trajectory Prediction
A hybrid CNN-LSTM-attention-Adaboost model tuned by a multi-strategy improved snake optimizer claims to cut trajectory prediction MAPE to 1.35%, but the result rests on a single route, no separate test set, and a mislabeled 39.89% improvement metric.