Meta-Analysis of EMF-Induced Pollution by COVID-19 in Virtual Teaching and Learning With an Artificial Intelligence Perspective-Reference-Cited by-同舟云学术

Meta-Analysis of EMF-Induced Pollution by COVID-19 in Virtual Teaching and Learning With an Artificial Intelligence Perspective

Published:2022-09 Issue:4 Volume:17 Page:1-20
ISSN:1548-1093
Container-title:International Journal of Web-Based Learning and Teaching Technologies
language:ng
Short-container-title:

Author:

Das Sanjita¹,Srivastava Shilpa²,Tripathi Aprna³,Das Saumya¹

Affiliation:

1. Noida Institute of Engineering and Technology (Pharmacy Institute), Greater Noida, India

2. Christ University, Delhi, India

3. Vellore Institute of Technology, Bhopal, India

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.

Publisher

IGI Global

Subject

Computer Science Applications,Education

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