Effective performance appraisal systems and forecasting of fluctuations in air quality are beneficial in the prevention and control of air pollution, which in turn enable the public’s health and the environment to be kept safe. Glad to publish a paper titled "Implementing heuristic-based multiscale depth-wise separable adaptive temporal convolutional network for ambient air quality prediction using real time data" in Nature Scientific reports Q1 3.8 Impact factor. SDG target 3.9. 1 , which calls for a substantial reduction in deaths and illnesses from air pollution acheived . The paper is an outcome of collaboration between Shiv Nadar University and Leeds Beckett University Dr.Balamurugan Balusamy Dr Shitharth S Dr Koteeswaran Seerangan https://lnkd.in/gKaFyY8i
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Assistant Professor & Research Scholar
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