This paper applies a model-based clustering approach (Log-Normal Mixture Model) to continuous RF-EMF monitoring data from the Serbian EMF RATEL network in Novi Sad to characterize temporal exposure patterns. The analysis reports separation of night versus day exposure values and identification of daytime periods where exposure persists longer. The work is positioned as supporting improved understanding of when and where elevated exposures occur in urban environments.