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Air Pollution Forecasting using Deep Learning

Nowadays, air pollution is getting an extreme problem that affects the whole environment. Due to the dangerous effects of air pollution on human’s health, this project proposes an air pollution prediction system. Because of the high dust pollution in Saudi Arabia, and the fact that there is no system for predicting the percentage of air pollution in it, hence, this project will apply air pollution prediction system on the most affected area in Saudi Arabia. This project aims to align with the Saudi vision 2030 by having an ideal environment and act in an efficient way in case of a warning situation. It applies deep learning technique which called long short term memory LSTM to predict the air pollution in Saudi Arabia.

Information

  • Students: Raghad Alawaji - Safaa Husam - Seham Saleh
  • Supervisor: Dr. Manal Algheith
  • Research Specialization: Artificial intelligence
  • Upload Date: 15/01/2020