Thierry Bruno Nyatchouba Nsangue

Machine Learning-Based Prediction of Hydrodynamic Coefficients and Structural Responses in Tuna Longline Gear

The accurate prediction of hydrodynamic characteristics and structural responses in underwater fishing gear is critical for optimizing design, ensuring operational safety, and minimizing environmental impact. To overcome the computational costs and scalability limitations of traditional physical modeling, this study ev...