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Air Quality Prediction: Application of Data Science For air quality prediction and analysis

This research topic is related to "Artificial Intelligence, data Science, data Mining". Mtech and PhD Research Scholars can have an idea from this video, that which recent technologies are available for their thesis or dissertations.

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With the growth of infrastructure and an growing population, public health issues have increased. Air quality is a primary concern with the continuous rise in the number of automobiles and the expansion of industry. Air pollution is a critical issue which affects urban population health. With exponential population growth and continuous industrial development the issue becomes prominent. Many issues, namely deforestation, waste management, solid waste disposal and toxic material release, contributed to and influenced the air quality around us. For that issue, the evaluation of air quality has become a possible research field. The Air Quality Index is a numerical metric used by governments to measure the concentration of various air contaminants. In recent years the researchers have developed different methods for measuring air quality. Data science approach is built here in this research topic using Artificial Neural Network, and a hybrid neural and fuzzy model. This program performance evaluation is performed to find an appropriate framework in which to operate.
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7 сентября 2020 г. 16:49:09
00:05:20
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