Abstract
Concerns about the health effects of frequent exposure to electromagnetic fields (EMF) emitted from mobile towers and handsets have been raised because of the gradual increase in usage of cell phones and frequent setting up of mobile towers. Present study is targeted to detrimental effects of EMF radiation on various biological systems mainly due to online teaching and learning process by suppressing the immune system. During COVID-19 pandemic the increased usage of internet due to online education and online office leads to more detrimental effects of EMF radiation. Further inculcation of soft computing techniques in EMF radiation has been presented. A literature review focusing on the usage of soft computing techniques in the domain of EMF radiation has been presented in the article. An online survey has been conducted targeting Indian academic stakeholders’ (Specially Teachers, Students and Parents termed as population in paper) for analyzing the awareness towards the bio hazards of EMF exposure.
Highlights
Now-a-days cell phones are considered as the most pleasant asset for all human being from kids to old age has
The increased usage of internet in education raises the occurrence of harmful effects of the electromagnetic fields (EMF) radiations on academic society due to higher exposure to internet to face the present requirement of online classes in schools and colleges
The study throws light on the application of artificial techniques like machine learning, deep learning etc. for the assessment of EMF radiation induced untoward effects mainly targeting the genetic mutation leading to heart disorders, cancer, etc
Summary
Now-a-days cell phones are considered as the most pleasant asset for all human being from kids to old age has. The study was progressed towards the raised harm due to increased use of internet and mobile phones in COVID-19 pandemic in education system by the help of meta-analysis and finding out the means to overcome their detrimental effects. For the reduction of EMF exposure and its awareness the study inculcates the concept of AI techniques in the assessment of EMF radiation as well as diagnosis of the diseases induced by the EMF radiation The usage of these techniques helps the system for the early detection of harmful radiations so that preventive measures can be taken in this regard. The present study is mainly targeted the review on the EMF radiation generated untoward effects on human health which has been increased due to enhanced internet and mobile phone use during the COVID-19 pandemic. The total study was carried out to aware the society about these increased health hazards due to increased EMF exposure with main purpose of the socioeconomic benefits
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