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Uncertainty-Aware Short-Horizon Warning of Large-Inclination Exceedance in Small Fishing Vessels: A Simulation-Based Multi-Model Benchmark

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By Kyoungwon Park, Byoungchul Song, Hyungtak Joo
| brnw.ch
All models shared the inputs, windows, target scaling, optimizer, and early-stopping protocol of Table 4; only the component under study varied. Learned models were trained with the Adam optimizer and mean-squared error on per-horizon standardized targets, with early stopping on the validation loss; predictions were inverse-scaled to degrees for reporting.
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