Machine Learning Approach for Ground-Level Estimation of Electromagnetic Radiation in the Near Field of 5G Base Stations
Research
RF Safe Research Library
Jan 1, 2025
This paper presents a machine-learning method to estimate ground-level electromagnetic radiation (electric field strength) in the near field of 5G base stations, using multiple technical and environmental input parameters. The authors report experimental performance with a mean absolute percentage error of about…
Analyzing the Impact of Occupational Exposures on Male Fertility Indicators: A Machine Learning Approach
Research
RF Safe Research Library
Jan 1, 2025
This occupational epidemiology study used machine learning to evaluate whether workplace exposures (including magnetic and electric fields, vibration, noise, and heat stress) predict male reproductive indicators in 80 workers. The models and explainable AI outputs highlighted magnetic and electric field exposures and…
A Decision Support System for Managing Health Symptoms of Living Near Mobile Phone Base Stations
Research
RF Safe Research Library
Jan 1, 2024
This analytical study evaluated machine learning models (SVM and Random Forest) to predict health symptoms in adults living near mobile phone base stations. The SVM model reportedly achieved high predictive performance for headache, sleep disturbance, dizziness, vertigo, and fatigue, and outperformed Random Forest…
Supervised Machine Learning Algorithms for Bioelectromagnetics: Prediction Models and Feature Selection Techniques Using Data from Weak Radiofrequency Radiation Effect on Human and Animals Cells.
Research
RF Safe Research Library
Jan 1, 2020
This paper develops supervised machine-learning prediction models to analyze potential impacts of weak RF-EMF on human and animal cells using extracted laboratory experimental data from prior publications. Data from 300 peer-reviewed papers (1127 experimental case studies) were used with feature selection and…
Advancing profiling sensors with a wireless approach.
Research
RF Safe Research Library
Jan 1, 2012
This engineering paper describes a wireless implementation of a near-infrared profiling sensor using multiple sensor nodes and a base station for data preprocessing and realignment. It reports an enhanced classification approach using a back-propagation neural network to categorize objects as human, animal, or…