Abstract: Predicting housing prices is crucial in real estate markets, enabling informed decision-making for investors, buyers, and policymakers. Many studies have applied various machine learning ...
This paper proposes a novel approach combining prior physics-based Gaussian Process Regression (GPR) with Bayesian Optimization for efficient and accurate electromagnetic near-field scanning. By ...