Open AccessInvestigating the impact of 5G radiation on human health using machine learning
Author(s) -
Okereke Eze Aru,
Kyrian Adimora,
F.J. Nwankwo
Publication year - 2021
Publication title -
nigerian journal of technology
Language(s) - English
Resource type - Journals
eISSN - 2467-8821
pISSN - 0331-8443
DOI - 10.4314/njt.v40i4.16
Subject(s) - ionizing radiation , software deployment , radiation , wireless , matlab , computer science , non ionizing radiation , absorption (acoustics) , transmission (telecommunications) , electromagnetic radiation , simulation , artificial intelligence , nanotechnology , materials science , telecommunications , physics , optics , irradiation , nuclear physics , operating system
The advent of 5G has improved greatly the speed of data transmission in wireless mobile technology. On the other hand, it has put society in suspense due to ailments that came along with its deployment. Many attributed the emission of 5G radiation as the main cause of cancer today and that has led to the writing of this article paper. The research study employed a machine learning technique that is based on an artificial neural network in modeling the 5G wireless technology. MATLAB, Simulink was used to analyze the absorption and penetration level of 5G electromagnetic energy pattern into biological tissue Deoxyribonucleic Acid (DNA). Our research result revealed that the energy produced by 5G radiation at the non-ionizing region of the electromagnetic spectrum is small and cannot break into the chemical bonds of biological tissue Deoxyribonucleic Acid (DNA) or cause changes to cells that will result in either cancer or viral disease.