1 publication

• Published Subscription 20 May 2023

  Prediction of Air Pollution LSTM Model Use in Machine Learning

  By P. V. Naresh, T. Rajeshwari, S. Meghana, S. Sainath

  Abstract: A major environmental problem that has an impact on the health and happiness of millions of people is air pollution. Accurate air quality forecasting is crucial for maintaining human health, the environment, and urban planning. In recent years, machine learning algorithms, such as Long Short-Term Memory (LSTM) models, have been increasingly used to predict air pollution levels. This study presents an abstract for a system that uses an LSTM model …

  Published in Journal of Artificial Intelligence Research & Advances · Vol. 10, Issue 1, 2023 · pp. 90–98 Read article →