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Environmental Pollution: Statistical Approach on Mobile Tower Radiation | ||
Journal of Biomedical Physics and Engineering | ||
مقالات آماده انتشار، اصلاح شده برای چاپ، انتشار آنلاین از تاریخ 18 مهر 1403 اصل مقاله (1.26 M) | ||
نوع مقاله: Original Research | ||
شناسه دیجیتال (DOI): 10.31661/jbpe.v0i0.2402-1728 | ||
نویسندگان | ||
Prisilla Jayanthi Gandam* 1؛ Muralikrishna Iyyanki2 | ||
1Department of Computer Science and Engineering, CMR Institute of Technology, Hyderabad, India | ||
2India Academic Programs Director, UC Berkeley, India | ||
چکیده | ||
Background: The Electromagnetic Field (EMF) effect is considered an alarming human health issue, dependent on the use of mobile phones. Several nationwide awareness program on EMF Emissions & Telecom Towers was initiated by the Department of Telecom (DoT) to build a direct bridge between the number of investors and the information gap with scientific evidence. EMF interaction with humans has caused oxidative stress for brain physiological and pathological degeneration. Objective: This study aimed to investigate the EMF’s influence on oxidative stress and disorders of neurodegenerative. Material and Methods: This analytical study is conducted on a generalized linear model, a supervised learning approach in machine learning, to understand mobile tower radiation. The data is obtained from open sources from two different states in India. Results: Confidential Interval (CI) was obtained for measured value radiation for Andhra Pradesh in 2018-2019 as 95% CI [0.0045 to 0.0111] and for 2019-2020 as 95% CI [0.0016 to 0.0028]. Telangana -CI for Measured Value (MV) in 2018-2019 was found to be 95% CI [0.0500 to 0.0763] and 2019-2020 is 95% CI [0.0189 to 0.4345]. Conclusion: Generalized Linear Models (GLM) is the best statistical model to analyze the mobile tower radiation. | ||
کلیدواژهها | ||
Generalized Linear Model؛ Mobile Towers؛ Radiation؛ Electromagnetic Field؛ Humans | ||
آمار تعداد مشاهده مقاله: 59 تعداد دریافت فایل اصل مقاله: 49 |