Abstract

Abstract

Overview: This research addresses the prediction and evaluation of the extremely low-frequency (ELF) magnetic fields emitted by laptops, considering both alternating current (AC) and battery modes.

Methodology: Utilizing data from 10 different laptops, an artificial neural network (ANN) model was developed. This model predicts ELF magnetic fields based on three specific input variables related to typical laptop characteristics.

• The model predicts the level of ELF magnetic fields for laptops powered by both AC and battery.
• Data are then classified using a self-organizing map method to determine whether the levels are safe or pose potential danger.

Findings: Measurements show that ELF magnetic field levels are nearly twice as high when the laptops are powered by AC compared to battery usage. A clustering analysis divides the laptops into categories based on their magnetic field intensity, providing a clear ranking of emission safety.

Conclusion: The paper concludes with recommendations for safer laptop use and suggests extending future research to include tablet devices.