AI-Driven Estimation of Electric Field Values from Reference Models via KNN algorithm
This study proposes a machine learning framework using k-nearest neighbor (KNN) regression to estimate and validate field values in cylindrical phantoms modeling human tissue structures, and underscores the need for geometry-adaptive machine learning architectures, which maintain excellent prediction accuracy for a giv...