Meta-analysis of EMF-induced pollution by COVID-19 in virtual teaching and learning with an artificial intelligence perspective
subject: AI; COVID-19; EMF radiation; Internet and online-education; Machine learning; Mobile phones; Mobile towers
description: 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. The present study is targeted to detrimental effects of EMF radiation on various biological systems mainly due to online teaching and learning processes by suppressing the immune system. During the 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 the paper) for analyzing the awareness towards the biohazards of EMF exposure. 2022 IGI Global. All rights reserved.
creator: Das S.; Srivastava S.; Tripathi A.; Das S.
source: International Journal of Web-Based Learning and Teaching Technologies, Vol-17, No. 4
publisher: IGI Global
date: 2022-01-01
rights: All Open Access; Gold Open Access
relation: ISSN: 15481093
format: Online
language: English
type: Article
coverage: Das S., Pharmacy Institute, Noida Institute of Engineering and Technology, India; Srivastava S., Christ University, Delhi, India; Tripathi A., Vellore Institute of Technology, Bhopal, India; Das S., Pharmacy Institute, Noida Institute of Engineering and Technology, India