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  • Open Access

    ARTICLE

    Multi-Site Air Pollutant Prediction Using Long Short Term Memory

    Chitra Paulpandi*, Murukesh Chinnasamy, Shanker Nagalingam Rajendiran

    Computer Systems Science and Engineering, Vol.43, No.3, pp. 1341-1355, 2022, DOI:10.32604/csse.2022.023882

    Abstract The current pandemic highlights the significance and impact of air pollution on individuals. When it comes to climate sustainability, air pollution is a major challenge. Because of the distinctive nature, unpredictability, and great changeability in the reality of toxins and particulates, detecting air quality is a puzzling task. Simultaneously, the ability to predict or classify and monitor air quality is becoming increasingly important, particularly in urban areas, due to the well documented negative impact of air pollution on resident’s health and the environment. To better comprehend the current condition of air quality, this research proposes predicting air pollution levels from… More >

  • Open Access

    ARTICLE

    COVID19: Forecasting Air Quality Index and Particulate Matter (PM2.5)

    R. Mangayarkarasi1, C. Vanmathi1,*, Mohammad Zubair Khan2, Abdulfattah Noorwali3, Rachit Jain4, Priyansh Agarwal4

    CMC-Computers, Materials & Continua, Vol.67, No.3, pp. 3363-3380, 2021, DOI:10.32604/cmc.2021.014991

    Abstract Urbanization affects the quality of the air, which has drastically degraded in the past decades. Air quality level is determined by measures of several air pollutant concentrations. To create awareness among people, an automation system that forecasts the quality is needed. The COVID-19 pandemic and the restrictions it has imposed on anthropogenic activities have resulted in a drop in air pollution in various cities in India. The overall air quality index (AQI) at any particular time is given as the maximum band for any pollutant. PM2.5 is a fine particulate matter of a size less than 2.5 micrometers, the inhalation… More >

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