This exposure-assessment study compares RF-EMF exposure maps produced using a broadband meter versus a personal exposimeter and aims to correct personal exposimeter readings to match broadband-based maps. The authors report that LOS/NLOS-specific correction factors reduce discrepancies, particularly improving LOS measurements affected by body shielding. A genetic algorithm is used to optimize correction factors and support scalable urban exposure mapping, with the authors noting that additional validation in other environments is needed.

This engineering/methods study proposes an evolutionary computation approach (PCRO-SL) to optimize the selection of measurement points for constructing RF-EMF exposure maps. Tested on real measurements in Meco (Madrid, Spain), it reports good agreement with a reference exposure map while reducing required sampling density. The authors provide practical point-selection rules (e.g., line-of-sight within 250 m and directional sampling within 500 m) intended to maintain representativeness and avoid interpolation artifacts.