TEC remains the most significant variable ( p = 7.65 × 10 −14 ) at 0° angle of attack, while TC became the dominant factor, with a highly significant p -value of 5.19 × 10 −12 at 5° angle of attack.
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Parametric Optimization of VLM Panel Discretization Using Bio-Inspired Crayfish and Aquila Algorithms Coupled with Hybrid RSM-Based Ensemble Machine Learning Surrogate Models: A Case Study.
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