№ files_lp_4_process_1_30385
Year: 2026
Region: Korean Peninsula
Subject: Oceanography, Marine Forecasting
Document type: Research article
Institution: Inha University, University of Rhode Island, Korea Hydrographic and Oceanographic Agency
Authors: Jae-Hun Park, Ho-Jeong Ju, Jeong-Yeob Chae, Young Taeg Kim, Min-su Kim
Target audience: Oceanographers, Marine researchers, Data scientists
Methodology: Artificial neural networks, 3-D convolutional neural networks, 3-D U-Net structure
Data sources: Oceanic and atmospheric variables
Purpose: Sea surface current prediction, Near-real-time ocean forecasting
Validation: Various input configurations tested for model optimization
Price: 8 / 10 USD
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