Prediction of smartphone overdependence and analysis of its influencing factors among older adults based on machine learning.
Research
RF Safe Research Library
Jan 1, 2026
This study used panel data from South Korea's 2023 Smartphone Overdependence Survey to build and compare machine-learning models predicting smartphone overdependence among adults aged 60+. Among evaluated classifiers, XGBoost had the best reported predictive performance (accuracy 0.925). The most important predictors…
Cluster Analysis of RF-EMF Exposure to Detect Time Patterns in Urban Environment: A Model-Based Approach
Research
RF Safe Research Library
Jan 1, 2025
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…
Evaluation of Personal Radiation Exposure from Wireless Signals in Indoor and Outdoor Environments
Research
RF Safe Research Library
Jan 1, 2025
This exposure assessment measured personal RF electric field strength in multiple indoor and outdoor micro-environments in Malaysia using an ExpoM-RF 4 meter and modeled exposure with machine learning (FCNN, XG Boost) and linear regression. Reported exposures were usually below the stated public limit (61.4 V/m), but…
In-Depth Analysis of Chlorophyll Fluorescence Rise Kinetics Reveals Interference Effects of a Radiofrequency Electromagnetic Field (RF-EMF) on Plant Hormetic Responses to Drought Stress.
Research
RF Safe Research Library
Jan 1, 2025
This experimental study assessed chlorophyll fluorescence rise kinetics in lettuce plants exposed to RF-EMFs and subjected to a short drought treatment. Using a conventional JIP test and a machine learning-assisted anomaly-detection approach, the authors report that RF-EMF exposure weakened drought-induced hormetic…