Simulaitonal data of electromagnetic exposure from a 4x4 array antenna for two mesh densities at 30 distances

This dataset supports the development of post-processing techniques for electromagnetic field (EMF) simulations, focusing on antenna near-field interactions with a human-body phantom. Simulations were conducted at 10 GHz using the Finite Integration Technique (FIT) with coarse and dense meshes. The dataset includes results from interpolation methods, including convolutional neural networks (CNNs) and hybrid approaches. It highlights the effectiveness of CNNs in reducing errors in absorbed power density calculations, making it valuable for enhancing the efficiency and accuracy of EMF exposure evaluations in telecommunications applications. The dataset is particularly relevant for 6G network development and EMF safety assessments.