Detection of Air Pollution and Its Adverse Effects on Human Health

Author:

Rastogi Rohit1ORCID,Rastogi Akshit Rajan1,Sharma Divya1,Rastogi Mukund1,Garg Priyanshi1,Srivastava Prajwal1

Affiliation:

1. ABES Engineering College, Ghaziabad, India

Abstract

The magnitude of Air contamination in advanced countries is depreciating drastically as observed in ongoing analysis as compared to previous decade. Notwithstanding, in developing nations and countries pursuing industrialization and automation, the moderate significant levels of air contamination still serves as a threat, in spite of that the levels have been gradually decreasing or have remained static during fast monetary improvement. Recently, hundreds of examinations in accordance with spread and management of disease have risen demonstrating unpleasant healthy consequences concern with present moment and prolong exposure to the toxins present in the air. Periodic research and studies held in Asian and developed areas moreover indicated comparative healthy outcome on impermanence of humanity related with association to particulate matter (PM), sulfur dioxide (SO2), ozone (O3), nitrogen dioxide (NO2) to those examined in Europe and North America.The Present work is an effort to critically analyze the air pollution by machine learning and its adverse effects on Human Health.

Publisher

IGI Global

Subject

Management, Monitoring, Policy and Law,Development,Ecology,Environmental Engineering

Reference14 articles.

1. Athanasiadis, I. N. (2003). Applying machine learning techniques on air quality data for real-time decision support. First international NAISO symposium on information technologies in environmental engineering (ITEE'2003).

2. Classification techniques for air quality forecasting.;I. N.Athanasiadis;Fifth ECAI Workshop on Binding Environmental Sciences and Artificial Intelligence, 17th European Conference on Artificial Intelligence,2006

3. Nonlinear models for ground-level ozone forecasting

4. A Simple Feedforward Neural Network for the PM10 Forecasting: Comparison with a Radial Basis Function Network and a Multivariate Linear Regression Model

5. Big data in healthcare: management, analysis and future prospects

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