Using weekly Shanghai Containerized Freight Index (SCFI) data for the US West Coast, US East Coast, and Europe routes (2019–2026; 382 weeks), this study compares traditional econometric methods (ARIMA, SARIMA), machine learning (Random Forest, XGBoost, SVR), and deep learning (LSTM, GRU, Transformer), together with exo...
H. Yoo, S. Kim, Seungwook Park· The Korean Logistics Researc...· 0 citations
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