Investigating the Impact Of 5G Radiation on Human Health Using Machine Learning

Authors

  • O.E. Aru Department of Computer Engineering, Michael Okpara University of Agriculture Umudike, Umuahia Abia State, NIGERIA
  • Kyrian Adimora Michael Okpara University of Agriculture Umudike
  • F.J. Nwankwo Department of Computer Engineering, Michael Okpara University of Agriculture Umudike, Umuahia Abia State, NIGERIA

Keywords:

5G Radiation, Machine Learning, MATLAB Simulink, Human Health, Non-ionizing Spectrum, Biological Tissue, DNA

Abstract

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.

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Published

2021-08-29

Issue

Vol. 40 No. 4 (2021): NIGERIAN JOURNAL OF TECHNOLOGY, VOL. 40 NO. 4, JULY 2021

Section

Computer, Telecommunications, Software, Electrical & Electronics Engineering

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How to Cite

Investigating the Impact Of 5G Radiation on Human Health Using Machine Learning. (2021). Nigerian Journal of Technology, 40(4), 694-702. https://nijotech.com/index.php/nijotech/article/view/2655